Tootfinder

Adaptive Dynamics Planning for Robot Navigation
Lu Yuanjie, Mao Mingyang, Xu Tong, Wang Linji, Lin Xiaomin, Xiao Xuesu
https://arxiv.org/abs/2510.05330 https://

Adaptive Dynamics Planning for Robot Navigation
Autonomous robot navigation systems often rely on hierarchical planning, where global planners compute collision-free paths without considering dynamics, and local planners enforce dynamics constraints to produce executable commands. This discontinuity in dynamics often leads to trajectory tracking failure in highly constrained environments. Recent approaches integrate dynamics within the entire planning process by gradually decreasing its fidelity, e.g., increasing integration steps and reduci…

From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
Zheng-An Chen, Tao Luo
https://arxiv.org/abs/2510.06954 https://a…

From Condensation to Rank Collapse: A Two-Stage Analysis of Transformer Training Dynamics
Although transformer-based models have shown exceptional empirical performance, the fundamental principles governing their training dynamics are inadequately characterized beyond configuration-specific studies. Inspired by empirical evidence showing improved reasoning capabilities under small initialization scales in language models, we employ the gradient flow analytical framework established in [Zhou et al. NeurIPS 2022] to systematically investigate linearized Transformer training dynamics. …

Quench dynamics of entanglement entropy under projective charge measurements: the free fermion case
Riccardo Travaglino, Colin Rylands, Pasquale Calabrese
https://arxiv.org/abs/2508.05588

Quench dynamics of entanglement entropy under projective charge measurements: the free fermion case
We consider the effect of projective measurements on the quench dynamics of the bipartite entanglement entropy in one dimensional free fermionic systems. In our protocol, we consider projective measurements of a $U(1)$ conserved charge, the particle number, on some large subsystem, and study the entanglement entropies between the same subsystem and its complement. We compare the dynamics emanating from two classes of initial states, one which is an eigenstate of the charge and another which is …

Homogeneous Coupled Cell Systems with High-dimensional Internal Dynamics
S\"oren von der Gracht, Eddie Nijholt, Bob Rink
https://arxiv.org/abs/2510.06740 https://

Homogeneous Coupled Cell Systems with High-dimensional Internal Dynamics
The analysis of network dynamics is oftentimes restricted to networks with one-dimensional internal dynamics. Here, we show how symmetry explains the relation between behavior of systems with one-dimensional internal dynamics and with higher dimensional internal dynamics, when the network topology is the same. Fundamental networks of homogeneous coupled cell systems (B. Rink, J. Sanders. Coupled Cell Networks and Their Hidden Symmetries. SIAM J. Math. Anal. 46.2 (2014)) can be expressed in term…

How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations
Brandon Jaipersaud, David Krueger, Ekdeep Singh Lubana
https://arxiv.org/abs/2508.05625

How Do LLMs Persuade? Linear Probes Can Uncover Persuasion Dynamics in Multi-Turn Conversations
Large Language Models (LLMs) have started to demonstrate the ability to persuade humans, yet our understanding of how this dynamic transpires is limited. Recent work has used linear probes, lightweight tools for analyzing model representations, to study various LLM skills such as the ability to model user sentiment and political perspective. Motivated by this, we apply probes to study persuasion dynamics in natural, multi-turn conversations. We leverage insights from cognitive science to train …

wiki_link_dyn: Wikipedia link dynamics (2011)
Six networks of the evolving hyperlink structure among wikipedia articles, for simple English (en), German (de), Dutch (nl), Polish (pl), Italian (it), French (fr), taken in August 2011. Each edge is timestamped, and an edge (i,j) indicates that article i hyperlinks to j. The edge sign indicates the addition ( 1) or deletion (-1) of that link at the specified time.
This network has 100312 nodes and 1627472 edges.
Tags: Informati…

Effective one-body theory of spinless binary evolution dynamics
Jiliang Jing, Sheng Long, Weike Deng, Jieci Wang
https://arxiv.org/abs/2509.06448 https://a…

Effective one-body theory of spinless binary evolution dynamics
The effective one-body (EOB) theory provides an innovative framework for analyzing the dynamics of binary systems, as articulated by Hamilton's equations. This paper investigates a self-consistent EOB theory specifically tailored for the dynamics of such systems. Our methodology begins by emphasizing how to effectively utilize the metrics derived from scattering angles in the analysis of binary black hole mergers. We then construct an effective Hamiltonian and formulate a decoupled, variable-se…

Social Dynamics of DAOs: Power, Onboarding, and Inclusivity
Victoria Kozlova, Ben Biedermann
https://arxiv.org/abs/2509.06163 https://arxiv.org/pdf/2509.06…

Social Dynamics of DAOs: Power, Onboarding, and Inclusivity
This report explores the often-overlooked cultural and social dynamics shaping participation and power in DAOs. Drawing on qualitative interviews and ethnographic observations, it shows how factors such as financial privilege, informal gatekeeping, visibility bias, and onboarding structures create barriers to meaningful inclusion. While DAOs are frequently framed as permissionless and egalitarian, the lived experiences of contributors reveal a more complex reality, one in which soft power and i…

Best practices for nonadiabatic molecular dynamics simulations
Antonio Prlj, Jack T. Taylor, Ji\v{r}\'i Jano\v{s}, Petr Slav\'i\v{c}ek, Federica Agostini, Basile F. E. Curchod
https://arxiv.org/abs/2508.05263

Best practices for nonadiabatic molecular dynamics simulations
Nonadiabatic molecular dynamics simulations aim to describe the coupled electron-nuclear dynamics of molecules in excited electronic states. These simulations have been applied to understand a plethora of photochemical and photophysical processes, and, as a result, the number of nonadiabatic dynamics simulations has been growing significantly over the past decade. Yet, the field remains in its infancy, and a potential user may find it difficult to approach this type of simulation, given their c…

Thermalization dynamics of finite-size quantum critical systems
Li Li, Yan Liu, Hao-Tian Sun
https://arxiv.org/abs/2509.06523 https://arxiv.org/pdf/2509.06…

Thermalization dynamics of finite-size quantum critical systems
Using holographic duality, we investigate thermalization process when two finite-size quantum critical systems are brought into thermal contact along a perfectly transmitting interface. Through real-time simulations of gravitational dynamics, which are spatially inhomogeneous and anisotropic and are confined within two dynamical bulk branes, we identify three distinct thermalization patterns governed by the energy imbalance (temperature difference) and system size. For systems with large size a…

Binary Option Market Manipulation by Influencing Belief Dynamics
Henry Waldhausen, Christopher Griffin
https://arxiv.org/abs/2510.05785 https://arxiv.org/p…

Binary Option Market Manipulation by Influencing Belief Dynamics
Using techniques from information geometry, we construct a semi-Hamiltonian system modelling trader beliefs in a binary asset market and study the impact of inequality or asymmetry in beliefs, information, and power on price dynamics. We show that in a market with no inequality and $N$ completely symmetric traders, the resulting dynamics evolve on a $2N + 1$ dimensional manifold consisting of a $2N-2$ dimensional centre manifold, a $2$ dimensional stable manifold and a $1$ dimensional slow mani…

Safe Stabilization of the Stefan Problem with a High-Order Moving Boundary Dynamics by PDE Backstepping
Shumon Koga, Miroslav Krstic
https://arxiv.org/abs/2510.06571 https://

Safe Stabilization of the Stefan Problem with a High-Order Moving Boundary Dynamics by PDE Backstepping
This paper presents a safe stabilization of the Stefan PDE model with a moving boundary governed by a high-order dynamics. We consider a parabolic PDE with a time-varying domain governed by a second-order response with respect to the Neumann boundary value of the PDE state at the moving boundary. The objective is to design a boundary heat flux control to stabilize the moving boundary at a desired setpoint, with satisfying the required conditions of the model on PDE state and the moving boundary…

Dynamics of Liquidity Surfaces in Uniswap v3
Jimmy Risk, Shen-Ning Tung, Tai-Ho Wang
https://arxiv.org/abs/2509.05013 https://arxiv.org/pdf/2509.05013

Dynamics of Liquidity Surfaces in Uniswap v3
This paper presents a comprehensive study on the empirical dynamics of Uniswap v3 liquidity, which we model as a time-tick surface, $L_t(x)$. Using a combination of functional principal component analysis (FPCA) and dynamic factor methods, we analyze three distinct pools over multiple sample periods. Our findings offer three main contributions: a statistical characterization of automated market maker liquidity, an interpretable and portable basis for dimension reduction, and a robust analysis o…

Thermal gradient-driven skyrmion dynamics with near-zero skyrmion Hall angle
Yogesh Kumar, Hurmal Saren, Pintu Das
https://arxiv.org/abs/2510.07020 https://

Thermal gradient-driven skyrmion dynamics with near-zero skyrmion Hall angle
Thermal gradient driven skyrmion dynamics offers a promising route toward green spintronics, enabling the utilization of waste heat for information transport and processing. Using micromagnetic simulations, we investigate Neel skyrmions in a Co-Pt bilayer nanoracetrack and demonstrate that stochastic torques induced by a thermal gradient drive skyrmion motion toward the hotter region with a nearly vanishing Hall angle. The dynamics depends sensitively on intrinsic material parameters - the skyr…

Dynamics of an autocatalytic reaction front: effects of imposed turbulence and buoyancy-driven flows
Nihal Tawdi, Christophe Almarcha, Michael Le Bars
https://arxiv.org/abs/2509.06709

Dynamics of an autocatalytic reaction front: effects of imposed turbulence and buoyancy-driven flows
Thin flame dynamics in a turbulent flow remains debated, with various parameterizations proposed for the typical flame propagation velocity. According to the classical Damköhler's model based on Huygens' principle, a flame front should advance at a constant velocity normal to the interface between reactants and products, with a turbulent acceleration induced by the wrinkling and surface increase of the interface. However, combustion experiments often deviate from this model due to intertwined …

Path Dynamics in a Deployed Path-Aware Network: A Measurement Study of SCIONLab
Lars Herschbach, Damien Rossi, Sina Keshvadi
https://arxiv.org/abs/2509.04695 https://

Path Dynamics in a Deployed Path-Aware Network: A Measurement Study of SCIONLab
Path-aware networks promise enhanced performance and resilience through multipath transport, but a lack of empirical data on their real-world dynamics hinders the design of effective protocols. This paper presents a longitudinal measurement study of the SCION architecture on the global SCIONLab testbed, characterizing the path stability, diversity, and performance crucial for protocols like Multipath QUIC (MPQUIC). Our measurements reveal a dynamic environment, with significant control-plane ch…

Exact Quench Dynamics from Thermal Pure Quantum States
Hui-Huang Chen
https://arxiv.org/abs/2510.05346 https://arxiv.org/pdf/2510.05346

Exact Quench Dynamics from Thermal Pure Quantum States
We present an exact solution for a quantum quench in an integrable system that reveals a new, coherent pathway to thermalization. In chaotic systems, thermalization is understood via the eigenstate thermalization hypothesis (ETH), which implies that a quench from a thermal pure quantum (TPQ) state should exhibit trivial dynamics. In contrast, integrable systems are expected to retain memory of their initial conditions in a non-thermal generalized Gibbs ensemble (GGE). We show that a quench from…

Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS2
Abrar Faiyad, Ashlie Martini
https://arxiv.org/abs/2510.05339 https://

Machine Learning Interatomic Potentials Enable Molecular Dynamics Simulations of Doped MoS2
We present the first computational framework for molecular dynamics simulation of MoS2 doped with 25 elements spanning metals, non-metals, and transition metals using Meta's Universal Model for Atoms machine learning interatomic potential (MLIP). Benchmarking against density functional theory calculations demonstrates the accuracy of the MLIP for simulating doped-MoS2 systems and highlights opportunities for improvement. Using the MLIP, we perform heating-cooling simulations of doped-MoS2 super…

Dynamics of Choline Chloride based Deep Eutectic Solvents: Neutron Scattering Study
Rinesh T., H. Srinivasan, V. K. Sharma, S. Mitra
https://arxiv.org/abs/2510.05882 https://

Dynamics of Choline Chloride based Deep Eutectic Solvents: Neutron Scattering Study
In this study, we investigate the microscopic diffusion dynamics of choline chloride (ChCl) based deep eutectic solvents (DESs) to elucidate the influence of hydrogen bond donor (HBD) identity on the mobility of cholinium ions. The DES systems examined include ethaline, glyceline, and reline, comprising ChCl mixed with ethylene glycol, glycerol, and urea, respectively, in a 1:2 molar ratio. Quasielastic neutron scattering experiments was used to probe the self-diffusion of cholinium ions at mol…

Energy Transfer Dynamics Generated by Non-Axisymmetric Tornado-Type Flows
Afifah Maya Iknaningrum, Pen-Yuan Hsu, Tsuyoshi Yoneda, Hirofumi Notsu
https://arxiv.org/abs/2509.05546

Energy Transfer Dynamics Generated by Non-Axisymmetric Tornado-Type Flows
The energy cascade in turbulence, first statistically described by Richardson (1922) and Kolmogorov (1941), lacked connection to the underlying fluid dynamics. Recent numerical studies of Goto et al. (2017) and Yoneda et al. (2022) revealed scale-local energy transfer via vortex stretching but remained within spatial statistics. This study aims to uncover the time-dependent elementary process behind the energy cascade by constructing a tornado-type flow in a non-axisymmetric curved cylindrical …

Network Models of Neurodegeneration: Bridging Neuronal Dynamics and Disease Progression
Christoffer G. Alexandersen, Georgia S. Brennan, Julia K. Brynildsen, Michael X. Henderson, Yasser Iturria-Medina, Dani S. Bassett
https://arxiv.org/abs/2509.05151

Network Models of Neurodegeneration: Bridging Neuronal Dynamics and Disease Progression
Neurodegenerative diseases are characterized by the accumulation of misfolded proteins and widespread disruptions in brain function. Computational modeling has advanced our understanding of these processes, but efforts have traditionally focused on either neuronal dynamics or the underlying biological mechanisms of disease. One class of models uses neural mass and whole-brain frameworks to simulate changes in oscillations, connectivity, and network stability. A second class focuses on biologica…

The Probability of Food Security: A new longitudinal data set using the Panel Study of Income Dynamics
Seungmin Lee, John Hoddinott, Christopher B. Barrett, Matthew P. Rabbitt
https://arxiv.org/abs/2509.06144

The Probability of Food Security: A new longitudinal data set using the Panel Study of Income Dynamics
The study of food security dynamics in the U.S. has long been impeded by the lack of extended longitudinal observations of the same households or individuals. This paper applies a newly-introduced household-level food security measure, the probability of food security (PFS), to 26 waves of Panel Study of Income Dynamics (PSID) data, spanning 1979-2019, to generate a data product we describe and make newly available to the research community. We detail the construction of this unprecedentedly lo…

Driven dynamics of localization phase transition in the Aubry-Andr\'{e} model with initial gapless extended states
Xin-Yu Wang, Wen-Jing Yu, Yue-Mei Sun, Liang-Jun Zhai
https://arxiv.org/abs/2509.06358

Driven dynamics of localization phase transition in the Aubry-André model with initial gapless extended states
Recently, the driven dynamics of localization phase transitions have garnered growing interest. However, studies so far have mainly considered initial localized states, whose driven dynamics follow the Kibble-Zurek mechanism (KZM). In this study, we investigate the driven dynamics of the localization phase transition in the Aubry-André (AA) model starting from a gapless extended state, which violates the adiabatic-impulse scenario of KZM. By linearly driving the quasiperiodic potential strengt…

DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation
Chengyang Zhao, Uksang Yoo, Arkadeep Narayan Chaudhury, Giljoo Nam, Jonathan Francis, Jeffrey Ichnowski, Jean Oh
https://arxiv.org/abs/2510.06199

DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation
Hair care is an essential daily activity, yet it remains inaccessible to individuals with limited mobility and challenging for autonomous robot systems due to the fine-grained physical structure and complex dynamics of hair. In this work, we present DYMO-Hair, a model-based robot hair care system. We introduce a novel dynamics learning paradigm that is suited for volumetric quantities such as hair, relying on an action-conditioned latent state editing mechanism, coupled with a compact 3D latent…

Spin dynamics in natural multiferroic pyroxene NaFeSi$_2$O$_6$
Oleksandr Prokhnenko (Helmholtz-Zentrum Berlin f\H{u}r Materialien und Energie, Berlin, Germany), Stanislav E. Nikitin (PSI Center for Neutron and Muon Sciences, Paul Scherrer Institut, Switzerland), Koji Kaneko (Materials Sciences Research Center, Japan Atomic Energy Agency, Tokai, Japan, Advanced Science Research Center, Japan Atomic Energy Agency, Tokai, Japan), Chihiro Tabata (Materials Sciences Research Center, Japan A…

Spin dynamics in natural multiferroic pyroxene NaFeSi$_2$O$_6$
Spin dynamics in the natural mineral aegirine, NaFeSi$_2$O$_6$, a member of the pyroxene family, was studied by elastic and inelastic neutron scattering. Magnetization and specific heat measurements as well as single-crystal neutron diffraction maps, taken in the temperature range 2 - 20 K, confirm two successive magnetic transitions at 8.8 and 5.8 K, consistent with previous studies. The observed spin-wave excitations emerge from the incommensurate magnetic Bragg peaks corresponding to the pro…

Emergent Social Dynamics of LLM Agents in the El Farol Bar Problem
Ryosuke Takata, Atsushi Masumori, Takashi Ikegammi
https://arxiv.org/abs/2509.04537 https://

Emergent Social Dynamics of LLM Agents in the El Farol Bar Problem
We investigate the emergent social dynamics of Large Language Model (LLM) agents in a spatially extended El Farol Bar problem, observing how they autonomously navigate this classic social dilemma. As a result, the LLM agents generated a spontaneous motivation to go to the bar and changed their decision making by becoming a collective. We also observed that the LLM agents did not solve the problem completely, but rather behaved more like humans. These findings reveal a complex interplay between …

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics
Luke Thompson, Davy Guan, Dai Shi, Slade Matthews, Junbin Gao, Andi Han
https://arxiv.org/abs/2510.05482 http…

ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics
Molecular dynamics (MD) simulations underpin modern computational drug dis- covery, materials science, and biochemistry. Recent machine learning models provide high-fidelity MD predictions without the need to repeatedly solve quantum mechanical forces, enabling significant speedups over conventional pipelines. Yet many such methods typically enforce strict equivariance and rely on sequential rollouts, thus limiting their flexibility and simulation efficiency. They are also com- monly single-tas…

Studies of ultrafast dynamics in substrate-free nanoparticles at ELI using Timepix3 optical camera
Dmitrij \v{S}evaev, Andrei Nomerotski, Peter \v{S}vihra, Keshav Sishodia, Andreas Hult Roos, Martin Albrecht, Jakob Andreasson, Maria Krikunova, Eva Klime\v{s}ov\'a
https://arxiv.org/abs/2510.05855

Studies of ultrafast dynamics in substrate-free nanoparticles at ELI using Timepix3 optical camera
We present a novel application of the Timepix3 optical camera (Tpx3Cam) for investigating ultrafast dynamics in substrate-free nanoparticles at the Extreme Light Infrastructure European Research Infrastructure Consortium (ELI ERIC). The camera, integrated into an ion imaging system based on a micro-channel plate (MCP) and a fast P47 scintillator, enables individual time-stamping of incoming ions with nanosecond timing precision and high spatial resolution. The detector successfully captured las…

On Spaceability within Linear Dynamics
Manuel Saavedra, Manuel Stadlbauer
https://arxiv.org/abs/2509.06156 https://arxiv.org/pdf/2509.06156

On Spaceability within Linear Dynamics
We investigate spaceability phenomena in linear dynamics from a structural perspective. Given a continuous linear operator \(T:X \to X\), we introduce the set \(Ω(T)\), consisting of all continuous linear operators \(h:X \to X\) for which there exists a strictly increasing sequence \((θ_n)_n\) of positive integers such that the set \(\{x \in X : \displaystyle{\lim_{n \rightarrow \infty} T^{θ_n}x = h(x)}\}\) is dense in \(X\). Within this framework, two classical phenomena--the existence of h…

Injection Locking and Coupling Dynamics in Superconducting Nanowire based Cryogenic Oscillators
Md Mazharul Islam, Md Shafayat Hossain, Kathleen E Hamilton, Ahmedullah Aziz
https://arxiv.org/abs/2508.04878

Injection Locking and Coupling Dynamics in Superconducting Nanowire based Cryogenic Oscillators
Oscillators designed to function at cryogenic temperatures play a critical role in superconducting electronics and quantum computing by providing stable, low noise signals with minimal energy loss.Here we present a comprehensive numerical study of injection locking and mutual coupling dynamics in superconducting nanowire based cryogenic oscillators.Using the design space of standalone ScNW based oscillator, we investigate two critical mechanisms that govern frequency synchronization and signal …

The inertial dip as a window on the convective core dynamics
Lucas Barrault, Lisa Bugnet, St\'ephane Mathis, Joey S. G. Mombarg
https://arxiv.org/abs/2510.05983 https://

The inertial dip as a window on the convective core dynamics
Gamma Dor stars are ideal targets for studies of the innermost dynamical properties of stars, due to their rich frequency spectrum of gravito-inertial modes propagating in the radiative envelope. Recent studies found that these modes could couple at the core-to-envelope interface with pure inertial modes in their sub-inertial regime, forming the so-called inertial dip in the period-spacing pattern of these stars. The inertial dip, as formed by core modes, stands out as a unique probe of core pr…

Entanglement dynamics and performance of two-qubit gates for superconducting qubits under non-Markovian effects
Kiyoto Nakamura, Joachim Ankerhold
https://arxiv.org/abs/2510.05872

Entanglement dynamics and performance of two-qubit gates for superconducting qubits under non-Markovian effects
Within a numerically exact simulation technique, the dissipative dynamics of a two-qubit architecture is considered in which each qubit couples to its individual noise source (reservoir). The goal is to reveal the role of subtle qubit-reservoir correlations including non-Markovian processes as a prerequisite to guide further improvements of quantum computing devices. This paper addresses the following three topics. First, we examine the validity of the rotating wave approximation imposed previo…

wiki_link_dyn: Wikipedia link dynamics (2011)
Six networks of the evolving hyperlink structure among wikipedia articles, for simple English (en), German (de), Dutch (nl), Polish (pl), Italian (it), French (fr), taken in August 2011. Each edge is timestamped, and an edge (i,j) indicates that article i hyperlinks to j. The edge sign indicates the addition ( 1) or deletion (-1) of that link at the specified time.
This network has 100312 nodes and 1627472 edges.
Tags: Informati…

@… is absolute gold and you cannot convince me otherwise
https://hard-drive.net/hd/video-games/…

Boston Dynamics Dog Rushed to Vet After Getting Into a Bag of Unattended Flash Drives
BOSTON — A serious medical emergency occurred this past weekend after a Boston Dynamics robotic dog named Spot got into an unattended Ziplock baggie of…

@… is absolute gold and you cannot convince me otherwise
https://hard-drive.net/hd/video-games/…

Boston Dynamics Dog Rushed to Vet After Getting Into a Bag of Unattended Flash Drives
BOSTON — A serious medical emergency occurred this past weekend after a Boston Dynamics robotic dog named Spot got into an unattended Ziplock baggie of…

First-Principle Modeling Framework of Boost Converter Dynamics for Precise Energy Conversions in Space
Yifan Wang, Wenhua Li, Zhenlong Wang, Xinrui Zhang, Jianfeng Sun, Qianfu Xia, Zhongtao Gou, Jiangang Rong, Tao Ye
https://arxiv.org/abs/2509.06425

First-Principle Modeling Framework of Boost Converter Dynamics for Precise Energy Conversions in Space
Boost converters are essential for modern electrification and intelligent technologies. However, conventional Boost converter models relying on steady-state assumptions fail to accurately predict transient behaviors during input voltage and load fluctuations, which cause significant output voltage overshoots and instability, resulting in failures of electrical systems, thereby restricting their use in space. This study introduces a first-principle modeling framework that derives precise dynamic…

Measuring General Associations in Time Series: An Adaptation and Empirical Evaluation of the CODEC Coefficient in Determining Autoregressive Dynamics
Juan Pablo Monta\~no, Mario E. Arrieta-Prieto
https://arxiv.org/abs/2509.06111

Measuring General Associations in Time Series: An Adaptation and Empirical Evaluation of the CODEC Coefficient in Determining Autoregressive Dynamics
Identifying the number of lags to include in an autoregressive model remains an open research problem due to the computational burden of treating it as a hyperparameter, especially in complex models. This study explores model-agnostic association measures, including Pearson, Spearman, and an adaptation of the recently proposed conditional dependence coefficient (CODEC), for guiding lag selection in time series. We adapt and implement the CODEC-based Feature Ordering by Conditional Independence …

MD-LLM-1: A Large Language Model for Molecular Dynamics
Mhd Hussein Murtada, Z. Faidon Brotzakis, Michele Vendruscolo
https://arxiv.org/abs/2508.03709 https://

MD-LLM-1: A Large Language Model for Molecular Dynamics
Molecular dynamics (MD) is a powerful approach for modelling molecular systems, but it remains computationally intensive on spatial and time scales of many macromolecular systems of biological interest. To explore the opportunities offered by deep learning to address this problem, we introduce a Molecular Dynamics Large Language Model (MD-LLM) framework to illustrate how LLMs can be leveraged to learn protein dynamics and discover states not seen in training. By applying MD-LLM-1, the first imp…

Revisiting the Orbital Dynamics of the Hot Jupiter WASP-12b with New Transit Times
Shraddha Biswas, Ing-Guey Jiang, Li-Chin Yeh, Hsin-Min Liu, Kaviya Parthasarathy, D. Bisht, Sandip K Chakrabarti, D Bhowmick, Mohit Singh Bisht, A. Raj, Bryan E. Martin, R. K. S. Yadav, Geeta Rangwal
https://arxiv.org/abs/2510.06589

Revisiting the Orbital Dynamics of the Hot Jupiter WASP-12b with New Transit Times
In this study, we examine the transit timing variations (TTVs) of the extensively studied hot Jupiter WASP-12b using a comprehensive dataset of 391 transit light curves. The dataset includes 7 new photometric observations obtained with the 1.3 m Devasthal Fast Optical Telescope, the 0.61 m VASISTHA telescope, and the 0.3 m AG Optical IDK telescope, along with 119 light curves from the Transiting Exoplanet Survey Satellite (TESS), 97 from the Exoplanet Transit Database (ETD), 34 from the ExoCloc…

XRISM/Resolve View of Abell 2319: Turbulence, Sloshing, and ICM Dynamics
XRISM Collaboration, Marc Audard, Hisamitsu Awaki, Ralf Ballhausen, Aya Bamba, Ehud Behar, Rozenn Boissay-malaquin, Laura Brenneman, Gregory V. Brown, Lia Corrales, Elisa Costantini, Renata Cumbee, Maria Diaz Trigo, Chris Done, Tadayasu Dotani, Ken Ebisawa, Megan E. Eckart, Dominique Eckert, Satoshi Eguchi, Teruaki Enoto, Yuichiro Ezoe, Adam Foster, Ryuichi Fujimoto, Yutaka Fujita, Yasushi Fukazawa, Kotaro Fukushi…

XRISM/Resolve View of Abell 2319: Turbulence, Sloshing, and ICM Dynamics
We present results from XRISM/Resolve observations of the core of the galaxy cluster Abell 2319, focusing on its kinematic properties. The intracluster medium (ICM) exhibits temperatures of approximately 8 keV across the core, with a prominent cold front and a high-temperature region ($\sim$11 keV) in the northwest. The average gas velocity in the 3 arcmin $\times$ 4 arcmin region around the brightest cluster galaxy (BCG) covered by two Resolve pointings is consistent with that of the BCG to wi…

For #GrindayFriday this week, the debut self-titled LP by Czech/Slovak grind band SICK DESTROYER. Been listening to a lot of this one, it's a banger. It features members of Lycanthrophy, Needful Things and Morbid Angel Dust. This brutal record has 19 tracks, including an Assück cover - it even has some wild bass breakdowns, great dynamics, riffing, drumming, etc. Another serious contender this ye…

A highly efficient second-order accurate long-time dynamics preserving scheme for some geophysical fluid models
Daozhi Han, Xiaoming Wang
https://arxiv.org/abs/2510.05360 https:…

A highly efficient second-order accurate long-time dynamics preserving scheme for some geophysical fluid models
We develop and analyze a highly efficient, second-order time-marching scheme for infinite-dimensional nonlinear geophysical fluid models, designed to accurately approximate invariant measures-that is, the stationary statistical properties (or climate) of the underlying dynamical system. Beyond second-order accuracy in time, the scheme is particularly well suited for long-time simulations due to two key features: it requires solving only a fixed symmetric positive-definite linear system with con…

Spectrum of slip dynamics, scaling & statistical laws emerge from simplified model of fault and damage zone architecture
M. Almakari, N. Kheirdast, C. Villafuerte, M. Y. Thomas, P. Dubernet, J. Cheng, A. Gupta, P. Romanet, S. Chaillat, H. S. Bhat
https://arxiv.org/abs/2509.04909

Spectrum of slip dynamics, scaling & statistical laws emerge from simplified model of fault and damage zone architecture
Seismological and geodetic observations of a fault zone reveal a wide range of slip dynamics, scaling, and statistical laws. However, the underlying physical mechanisms remain unclear. In this study, we show that incorporating an off-fault damage zone-characterized by distributed fractures surrounding a main fault-can reproduce many key features observed in seismic and geodetic data. We model a 2D shear fault zone in which off-fault cracks follow power-law size and density distributions, and ar…

Proper time expansions and glasma dynamics
Margaret E Carrington, Bryce T. Friesen, Doug Pickering, Shane Sangster, Kaene Soopramania
https://arxiv.org/abs/2510.06390 https://…

Proper time expansions and glasma dynamics
The earliest phase of an ultrarelativistic heavy ion collision can be described as a highly populated system of gluons called glasma. The system's dynamics is governed by the classical Yang-Mills equation. Solutions can be found at early times using a proper time expansion. Since the expansion parameter is the time, this method is necessarily limited to the study of early time dynamics. In addition compute time and memory limitations restrict practical calculations to no more than eighth order …

Mathematical Aspects of Geophysical and Astrophysical Fluid Dynamics: Magnetic buoyancy instability in galaxies
Yasin Qazi, Anvar Shukurov, Devika Tharakkal, Frederick A. Gent
https://arxiv.org/abs/2509.06173

Mathematical Aspects of Geophysical and Astrophysical Fluid Dynamics: Magnetic buoyancy instability in galaxies
We study the nonlinear evolution of the magnetic buoyancy instability in rotating and non-rotating gas layers using numerical solutions of non-ideal, isothermal MHD equations. The unstable magnetic field is either imposed through the boundary conditions or generated by an imposed $α$-effect. In the case of an imposed field, we solve for the deviations from the background state with periodic boundary conditions. We also include cosmic rays as a weightless fluid which exerts a dynamically signif…

Causal mechanism and mediation analysis for macroeconomics dynamics: a bridge of Granger and Sims causality
Jean-Marie Dufour, Endong Wang
https://arxiv.org/abs/2509.05284 https…

Causal mechanism and mediation analysis for macroeconomics dynamics: a bridge of Granger and Sims causality
This paper introduces a novel concept of impulse response decomposition to disentangle the dynamic contributions of the mediator variables in the transmission of structural shocks. We justify our decomposition by drawing on causal mediation analysis and demonstrating its equivalence to the average mediation effect. Our result establishes a formal link between Sims and Granger causality. Sims causality captures the total effect, while Granger causality corresponds to the mediation effect. We con…

Laplacian Analysis Meets Dynamics Modelling: Gaussian Splatting for 4D Reconstruction
Yifan Zhou, Beizhen Zhao, Pengcheng Wu, Hao Wang
https://arxiv.org/abs/2508.04966 https://

Laplacian Analysis Meets Dynamics Modelling: Gaussian Splatting for 4D Reconstruction
While 3D Gaussian Splatting (3DGS) excels in static scene modeling, its extension to dynamic scenes introduces significant challenges. Existing dynamic 3DGS methods suffer from either over-smoothing due to low-rank decomposition or feature collision from high-dimensional grid sampling. This is because of the inherent spectral conflicts between preserving motion details and maintaining deformation consistency at different frequency. To address these challenges, we propose a novel dynamic 3DGS fr…

Information Propagation in Predator-Prey Dynamics of Turbulent Plasma
Tomohiro Tanogami, Makoto Sasaki, Tatsuya Kobayashi
https://arxiv.org/abs/2508.05127 https://

Information Propagation in Predator-Prey Dynamics of Turbulent Plasma
Magnetically confined fusion plasmas exhibit predator-prey-like cyclic oscillations through the self-regulating interaction between drift-wave turbulence and zonal flow. To elucidate the detailed mechanism and causality underlying this phenomenon, we construct a simple stochastic predator-prey model that incorporates intrinsic fluctuations and analyze its statistical properties from an information-theoretic perspective. We first show that the model exhibits persistent fluctuating cyclic oscilla…

Dynamics of Two Species with Density-Dependent Interactions in a Mutualistic Context
Chlo\"e Mian, Sylvain Billiard, Violaine Llaurens, Charline Smadi
https://arxiv.org/abs/2509.06062

Dynamics of Two Species with Density-Dependent Interactions in a Mutualistic Context
Mutualistic interactions, where individuals from different species can benefit from each other, are widespread across ecosystems. This study develops a general deterministic model of mutualism involving two populations, assuming that mutualism may involve both costs and benefits for the interacting individuals, leading to density-dependent effects on the dynamics of the two species. This framework aims at generalizing pre-existing models, by allowing the ecological interactions to transition fr…

Training Dynamics Impact Post-Training Quantization Robustness
Albert Catalan-Tatjer, Niccol\`o Ajroldi, Jonas Geiping
https://arxiv.org/abs/2510.06213 https://

Training Dynamics Impact Post-Training Quantization Robustness
While post-training quantization is widely adopted for efficient deployment of large language models, the mechanisms underlying quantization robustness remain unclear. We conduct a comprehensive analysis of quantization degradation across open-source language model training trajectories up to 32B parameters and 15T training tokens to accurately assess the relationship between training dynamics and quantization performance. Our key finding is that quantization errors in large-scale training runs…

Effective LQG dynamics of a thin shell and the fate of a collapsing star
Francesco Fazzini
https://arxiv.org/abs/2509.04945 https://arxiv.org/pdf/2509.0494…

Effective LQG dynamics of a thin shell and the fate of a collapsing star
Effective models inspired by loop quantum gravity typically resolve the central singularity by replacing it with a bounce of the matter density in the Planckian regime. In the specific model analyzed here, this bounce is generally followed by the formation of shell-crossing singularities. The purpose of this work is to provide a physically meaningful extension of spacetime beyond the shell-crossing singularity. To this end, we derive the dynamics of a dust thin shell within the effective Hamilt…

wiki_link_dyn: Wikipedia link dynamics (2011)
Six networks of the evolving hyperlink structure among wikipedia articles, for simple English (en), German (de), Dutch (nl), Polish (pl), Italian (it), French (fr), taken in August 2011. Each edge is timestamped, and an edge (i,j) indicates that article i hyperlinks to j. The edge sign indicates the addition ( 1) or deletion (-1) of that link at the specified time.
This network has 100312 nodes and 1627472 edges.
Tags: Informati…

Imaging Nanoscale Carrier, Thermal, and Structural Dynamics with Time-Resolved and Ultrafast Electron Energy-Loss Spectroscopy
Wonseok Lee, Levi D. Palmer, Thomas E. Gage, Scott K. Cushing
https://arxiv.org/abs/2510.05413

Imaging Nanoscale Carrier, Thermal, and Structural Dynamics with Time-Resolved and Ultrafast Electron Energy-Loss Spectroscopy
Time-resolved and ultrafast electron energy-loss spectroscopy (EELS) is an emerging technique for measuring photoexcited carriers, lattice dynamics, and near-fields across femtosecond to microsecond timescales. When performed in either a specialized scanning transmission electron microscope or ultrafast electron microscope (UEM), time-resolved and ultrafast EELS can directly image charge carriers, lattice vibrations, and heat dissipation following photoexcitation or applied bias. Yet recent adv…

Learning spatially structured open quantum dynamics with regional-attention transformers
Dounan Du, Eden Figueroa
https://arxiv.org/abs/2509.06871 https://…

Learning spatially structured open quantum dynamics with regional-attention transformers
Simulating the dynamics of open quantum systems with spatial structure and external control is an important challenge in quantum information science. Classical numerical solvers for such systems require integrating coupled master and field equations, which is computationally demanding for simulation and optimization tasks and often precluding real-time use in network-scale simulations or feedback control. We introduce a regional attention-based neural architecture that learns the spatiotemporal…

Functional Equations for Generalized Collatz Dynamics Using Integral Representations and Residue Calculus
Christos N. Efrem
https://arxiv.org/abs/2510.06736 https://

Functional Equations for Generalized Collatz Dynamics Using Integral Representations and Residue Calculus
This paper focuses on a wide class of Collatz-type arithmetic dynamics, and presents a systematic derivation of recursive formulas and functional equations satisfied by the associated generating functions. The main tools belong to complex analysis, including contour-integral representations, residue calculus, and Cauchy's integral formulas. The basic approach is inspired by Egorychev's method, which has been used so far to establish combinatorial identities. Moreover, this work generalizes exis…

AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control
Shao-Yi Yu, Jen-Wei Wang, Maya Horii, Vikas Garg, Tarek Zohdi
https://arxiv.org/abs/2510.05443 htt…

AD-NODE: Adaptive Dynamics Learning with Neural ODEs for Mobile Robots Control
Mobile robots, such as ground vehicles and quadrotors, are becoming increasingly important in various fields, from logistics to agriculture, where they automate processes in environments that are difficult to access for humans. However, to perform effectively in uncertain environments using model-based controllers, these systems require dynamics models capable of responding to environmental variations, especially when direct access to environmental information is limited. To enable such adaptiv…

Dynamics of Cosmic Superstrings and the Overshoot Problem
Luca Brunelli, Michele Cicoli, Francisco Gil Pedro
https://arxiv.org/abs/2510.06359 https://arxiv…

Dynamics of Cosmic Superstrings and the Overshoot Problem
We exploit the techniques of dynamical systems to study the cosmological evolution of cosmic fundamental strings and effective strings arising from branes wrapped on internal cycles. We also include the whole potential of the volume modulus characterised by an early time run-away towards a late time minimum. We analyse the overshoot problem with and without radiation, and find that the presence of an initial population of strings arising from NS5-branes wrapped around 4-cycles is enough to ensu…

Low-frequency interlayer phonon dynamics and photoinduced terahertz absorption in black phosphorus
Haiyun Huang, Cheng Chen, Yuxin Zhai, Xiu Zhang, Junzhi Zhu, Junyong Wang, Kai Zhang, Qihua Xiong, Haiyun Liu
https://arxiv.org/abs/2509.04822

Low-frequency interlayer phonon dynamics and photoinduced terahertz absorption in black phosphorus
The strong interlayer coupling in black phosphorus (BP), arising from wavefunction overlap between layers, is critical for understanding its electronic and optical properties. Here, we utilize terahertz (THz) spectroscopy to study phonon dynamics in BP. We identify two peaks at 6 and 8.5 meV in steady-state THz spectra, which are attributed to low-frequency interlayer phonon modes. Both modes exhibit anharmonic phonon coupling behavior below 150 K, manifesting as temperature-dependent red-shift…

Collective decision-making dynamics in hypernetworks
Angela Fontan, Silun Zhang
https://arxiv.org/abs/2509.05182 https://arxiv.org/pdf/2509.05182

Collective decision-making dynamics in hypernetworks
This work describes a collective decision-making dynamical process in a multiagent system under the assumption of cooperative higher-order interactions within the community, modeled as a hypernetwork. The nonlinear interconnected system is characterized by saturated nonlinearities that describe how agents transmit their opinion state to their neighbors in the hypernetwork, and by a bifurcation parameter representing the community's social effort. We show that the presence of higher-order intera…

Dynamics of quantum measurement via electron transport in quantum dot systems: many-particle wavefunction approach
George Stavisskii, Leonid Fedichkin
https://arxiv.org/abs/2510.05348

Dynamics of quantum measurement via electron transport in quantum dot systems: many-particle wavefunction approach
Measurement of a charge qubit via point contacts with complex internal structures is considered. In this context, a fully formalized derivation of the many-body wave function method is presented, together with the corresponding master equations for point contacts possessing an arbitrary number of internal states. The focus is placed on the current noise power spectrum and its dependence on the qubit dynamics and the point contact parameters.

Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation
C\^ome Cattin, Thomas Pl\'e, Olivier Adjoua, Nicola\"i Gouraud, Louis Lagard\`ere, Jean-Philip Piquemal
https://arxiv.org/abs/2510.06562

Accelerating Molecular Dynamics Simulations with Foundation Neural Network Models using Multiple Time-Step and Distillation
We present a strategy to accelerate molecular dynamics simulations using foundation neural network models. To do so, we apply a dual-level neural network multi-time-step (MTS) strategy where the target accurate potential is coupled to a simpler but faster model obtained via a distillation process. Thus, the 3.5 Å-cutoff distilled model is sufficient to capture the fast varying forces, i.e. mainly bonded interactions, from the accurate potential allowing its use in a reversible reference system…

The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
Amir Hameed Mir
https://arxiv.org/abs/2510.04933 https://

The Geometry of Truth: Layer-wise Semantic Dynamics for Hallucination Detection in Large Language Models
Large Language Models (LLMs) often produce fluent yet factually incorrect statements-a phenomenon known as hallucination-posing serious risks in high-stakes domains. We present Layer-wise Semantic Dynamics (LSD), a geometric framework for hallucination detection that analyzes the evolution of hidden-state semantics across transformer layers. Unlike prior methods that rely on multiple sampling passes or external verification sources, LSD operates intrinsically within the model's representational…

Replaced article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- Transitional and Near-Wall Turbulence Dynamics over Rib-Roughened Surfaces
Ranjan Kushwaha, S. Sarkar, Gautam Biswas

Likelihood-based inference for the Gompertz model with Poisson errors
Paolo Onorati, Sofia Ruiz-Suarez, Radu Craiu
https://arxiv.org/abs/2510.06787 https://

Likelihood-based inference for the Gompertz model with Poisson errors
Population dynamics models play an important role in a number of fields, such as actuarial science, demography, and ecology. Statistical inference for these models can be difficult when, in addition to the process' inherent stochasticity, one also needs to account for sampling error. Ignoring the latter can lead to biases in the estimation, which in turn can produce erroneous conclusions about the system's behavior. The Gompertz model is widely used to infer population size dynamics, but a full…

Kinetic energy in random recurrent neural networks
Li-Ru Zhang, Haiping Huang
https://arxiv.org/abs/2508.04983 https://arxiv.org/pdf/2508.04983

Kinetic energy in random recurrent neural networks
The relationship between unstable fixed points and chaotic dynamics in high-dimensional neural dynamics remains elusive. In this work, we investigate the kinetic energy distribution of random recurrent neural networks by combining dynamical mean-field theory with extensive numerical simulations. We find that the average kinetic energy shifts continuously from zero to a positive value at a critical value of coupling variance (synaptic gain), with a power-law behavior close to the critical point.…

Coupled opinion-environmental dynamics in polarized and prejudiced populations
Cameron Kerr, Madhur Anand, Chris T Bauch
https://arxiv.org/abs/2510.06237 https://

Coupled opinion-environmental dynamics in polarized and prejudiced populations
Public opinion on environmental issues remains polarized in many countries, posing a significant barrier to the implementation of effective policies. Behind this polarization, empirical studies have identified social susceptibility, personal prejudice, and personal experience as dominant factors in opinion formation on environmental issues. However, current coupled human-environment models have not yet incorporated all three factors in polarized populations. We developed a stylized coupled huma…

Low-energy dynamics in generic potential fields: Hyperbolic periodic orbits and non-ergodicity
Alberto Enciso, Manuel Garz\'on, Daniel Peralta-Salas
https://arxiv.org/abs/2510.06073

Low-energy dynamics in generic potential fields: Hyperbolic periodic orbits and non-ergodicity
We prove that, on each low energy level, the natural Hamiltonian system defined by a generic smooth potential on $\mathbf{T}^2$ exhibits an arbitrarily high number of hyperbolic periodic orbits and a positive-measure set of invariant tori. Hence, quasi-periodic motion and hyperbolic behavior typically coexist in the low-energy dynamics of natural Hamiltonian systems with two degrees of freedom.

Modulation of the Monokinetic Limit for Models of Collective Dynamics
Alina Chertock, Roman Shvydkoy, Trevor Teolis
https://arxiv.org/abs/2508.05478 https://

Modulation of the Monokinetic Limit for Models of Collective Dynamics
In this work, we perform modulation analysis of monokinetic limits from the kinetic Cucker- Smale model to the pressureless Euler alignment system. Two regimes are considered -- a strong Fokker- Planck force with vanishing noise and Knudsen number, and a pure noiseless Vlasov scheme. In the former case, we demonstrate convergence of the modulated profile to the standard Gaussian distribution, while in the latter case, the distribution converges to a profile satisfying an explicit transport equa…

Sub-nanosecond structural dynamics of the martensitic transformation in Ni-Mn-Ga
Yuru Ge, Fabian Ganss, Daniel Schmidt, Daniel Hensel, Mike J. Bruckhoff, Sakshath Sadashivaiah, Bruno Neumann, Mariana Brede, Markus E. Gruner, Peter Gaal, Klara L\"unser, Sebastian F\"ahler
https://arxiv.org/abs/2509.06513

Sub-nanosecond structural dynamics of the martensitic transformation in Ni-Mn-Ga
Martensitic transformations drive a multitude of emerging applications, which range from high stroke actuation and, mechanocaloric refrigeration, to thermoelastic energy harvesting. All these applications benefit from faster transformations, as a high cycle frequency is essential for achieving high power density. However, systematic investigations of the fast dynamics and fundamental speed limits of martensitic transformations are scarce. Especially for ultrashort time transformations, the temp…

Boundary-shape driven transitions in vortex and oscillatory dynamics of confined epithelial cells
Ryo Ienaga, Kazuyuki Shigeta, Tatsuya Fukuyama, Kazusa Beppu, Yusuke T. Maeda
https://arxiv.org/abs/2509.06087

Boundary-shape driven transitions in vortex and oscillatory dynamics of confined epithelial cells
Controlling the collective motion of epithelial cell populations is fundamental for understanding multicellular self-organization and for advancing tissue engineering. Under spatial confinement, cells are known to exhibit either vortex rotation or oscillatory motion depending on boundary geometry, but the mechanisms governing transitions between these states remain unclear. Here, we investigated the collective motion of MDCK cells confined within a doublet circular boundary, where the confineme…

Classicized dynamics and initial conditions in field theories with fakeons
Damiano Anselmi, Gianluca Calcagni
https://arxiv.org/abs/2510.05276 https://arxi…

Classicized dynamics and initial conditions in field theories with fakeons
Theories with purely virtual particles (fakeons) do not possess a classical action in the strict sense, but rather a "classicized" one, obtained by integrating out the fake particles at tree level. Although this procedure generates nonlocal interactions, we show that the resulting classicized equations of motion are not burdened with the need to specify infinitely many initial conditions. The reason is the inherent link between the fakeonic system and the parent higher-derivative local system: …

Paraplume: A fast and accurate paratope prediction method provides insights into repertoire-scale binding dynamics
Gabriel Ath\`enes, Adam Woolfe, Thierry Mora, Aleksandra M. Walczak
https://arxiv.org/abs/2510.05626

Paraplume: A fast and accurate paratope prediction method provides insights into repertoire-scale binding dynamics
The specific region of an antibody responsible for binding to an antigen, known as the paratope, is essential for immune recognition. Accurate identification of this small yet critical region can accelerate the development of therapeutic antibodies. Determining paratope locations typically relies on modeling the antibody structure, which is computationally intensive and difficult to scale across large antibody repertoires. We introduce Paraplume, a sequence-based paratope prediction method that…

Nonreciprocal inertial spin-wave dynamics in twisted magnetic nanostrips
Massimiliano d'Aquino, Riccardo Hertel
https://arxiv.org/abs/2508.05576 https://

Nonreciprocal inertial spin-wave dynamics in twisted magnetic nanostrips
We develop a theoretical framework for inertial spin-wave dynamics in three-dimensional twisted soft-magnetic nanostrips, where curvature and torsion couple with magnetic inertia to generate terahertz (THz) magnetic oscillations. The resulting spin-wave spectra exhibit pronounced nonreciprocity due to effective symmetry breaking arising from geometric chirality and inertial effects. We show that this behavior is governed by a curvature-induced geometric (Berry) phase, which we analytically capt…

From Quantum Circuits with Ultraslow Dynamics to Classical Plaquette Models
Vikram Ravindranath, Hanchen Liu, Xiao Chen
https://arxiv.org/abs/2510.07247 https://

From Quantum Circuits with Ultraslow Dynamics to Classical Plaquette Models
We introduce a family of hybrid quantum circuits involving unitary gates and projective measurements that display a measurement-induced phase transition. Remarkably, the volume-law phase featuring logarithmic entanglement growth for certain initial states. We attribute this slow entanglement growth to the similarly slow growth of the participation entropy, which bounds the entanglement. Furthermore, the quantum circuit can be mapped to a classical spin model with real positive Boltzmann weights…

Big-Bounce in Quantum f(R)-Cosmology: Polymer Dynamics with Internal Time
M. L. Limongi, S. Lo Franco, G. Montani, S. Segreto
https://arxiv.org/abs/2509.05021 https://

Big-Bounce in Quantum f(R)-Cosmology: Polymer Dynamics with Internal Time
We construct the Hamiltonian formulation of the isotropic Universe in a generic metric f(R)-theory in the Jordan frame. We canonically quantize the Universe volume via a polymer formulation, and we adopt the scalar field naturally arising from this scenario as a physical clock. Being within the limit of cut-off values of the space volume, we are legitimized to neglect, at first approximation level, the self-interacting potential term associated with the scalar field. We first study the semi-cla…

$\mathcal{H}_\infty$ Optimal Navigation in the Cislunar Space with LFT Models
Tanay Kumar, Raktim Bhattacharya
https://arxiv.org/abs/2509.06317 https://arx…

$\mathcal{H}_\infty$ Optimal Navigation in the Cislunar Space with LFT Models
Navigation in the cislunar domain presents significant challenges due to chaotic and unmodeled dynamics, as well as state-dependent sensor errors. This paper develops a robust estimation framework based on Linear Fractional Transformation (LFT) models, and state estimation in $\mathcal{H}_\infty$ and $μ$ synthesis framework to address these challenges. The cislunar dynamics are embedded into an LFT form that captures nonlinearities in the gravitational model and state-dependent sensor errors a…

Extracting Phonon Quasiparticles from Molecular Dynamics Simulations
Wenjing Li, Yong Lu, Fawei Zheng
https://arxiv.org/abs/2509.05960 https://arxiv.org/pd…

Extracting Phonon Quasiparticles from Molecular Dynamics Simulations
Phonon anharmonicity are ubiquitous in real materials, creating finite phonon lifetimes. These effects are crucial for understanding thermal properties and phase stability. In this work, we define optimal phonon quasiparticles as those that maximize their lifetimes, and prove that the information about these quasiparticles is contained in two small matrices $\mathcal{S}$ and $\mathcal{Q}$, which can be constructed directly from molecular dynamics simulations. Based on these knowledge, we propos…

Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder
Kristoffer S. Moen, J{\o}rgen R. Aarnes, Simen {\AA}. Ellingsen, J. Nathan Kutz
https://arxiv.org/abs/2510.06202

Mapping surface height dynamics to subsurface flow physics in free-surface turbulent flow using a shallow recurrent decoder
Near-surface turbulent flows beneath a free surface are reconstructed from sparse measurements of the surface height variation, by a novel neural network algorithm known as the SHallow REcurrent Decoder (SHRED). The reconstruction of turbulent flow fields from limited, partial, or indirect measurements remains a grand challenge in science and engineering. The central goal in such applications is to leverage easy-to-measure proxy variables in order to estimate quantities which have not been, and…

Influence of Large Mean Delay on Distributed Delay Differential Equations Dynamics: Application to a Neural Mass Model
Isam Al-Darabsah, Sue Ann Campbell, Bootan Rahman
https://arxiv.org/abs/2509.05466

Influence of Large Mean Delay on Distributed Delay Differential Equations Dynamics: Application to a Neural Mass Model
Delay differential equations (DDEs) with large delays play a pivotal role in understanding stability and bifurcations in systems ranging from neural networks to laser dynamics. While prior work has extensively studied DDEs with discrete delays, the impact of distributed delays has been less explored. This paper investigates the spectrum of linear DDEs with a uniformly distributed delay kernel, with mean delay $τ_m$ and a half-width of $ρ$. When $τ_m\to\infty$, we carry out asymptotic analysi…

Stochastic dynamics for group field theories II: Methods for nonequilibrium renormalization group
Vincent Lahoche, Dine Ousmane Samary
https://arxiv.org/abs/2509.05507 https://

Stochastic dynamics for group field theories II: Methods for nonequilibrium renormalization group
This paper is a continuation of our earlier work, which aimed to develop methods for understanding the renormalization group of tensorial group field theories within the stochastic quantization framework. In that first study, we showed that the equations governing melonic structures, together with Ward identities, make it possible to close the hierarchy of flow equations, thereby reproducing the results of equilibrium theory. In the present work, we go further by extending the formalism to the …

A Narwhal-Inspired Sensing-to-Control Framework for Small Fixed-Wing Aircraft
Fengze Xie, Xiaozhou Fan, Jacob Schuster, Yisong Yue, Morteza Gharib
https://arxiv.org/abs/2510.07160

A Narwhal-Inspired Sensing-to-Control Framework for Small Fixed-Wing Aircraft
Fixed-wing unmanned aerial vehicles (UAVs) offer endurance and efficiency but lack low-speed agility due to highly coupled dynamics. We present an end-to-end sensing-to-control pipeline that combines bio-inspired hardware, physics-informed dynamics learning, and convex control allocation. Measuring airflow on a small airframe is difficult because near-body aerodynamics, propeller slipstream, control-surface actuation, and ambient gusts distort pressure signals. Inspired by the narwhal's protrud…

Kinetic modeling of knowledge and wealth dynamics in national and global markets
Marzia Bisi, Martina Conte, Maria Groppi
https://arxiv.org/abs/2510.06467 https://

Kinetic modeling of knowledge and wealth dynamics in national and global markets
We propose a kinetic model to describe the dynamical evolution of wealth and knowledge in national and global markets, starting from a microscopic description of individual interactions. The model is built upon interaction rules that account for a strong interdependence between the microscopic variables, influencing agents' trading and saving propensities, knowledge acquisition, and the stochastic market effects. We begin with a domestic market scenario and extend the framework to international…

Stability and Self-Organized Patterns in Coupled Ecohydrological--Fire Dynamics: A Model of Vegetation--Rainfall--Bushfire Interactions
Serena Dipierro, Enrico Valdinoci
https://arxiv.org/abs/2509.04766

Stability and Self-Organized Patterns in Coupled Ecohydrological--Fire Dynamics: A Model of Vegetation--Rainfall--Bushfire Interactions
This paper investigates the conditions for the stability and emergence of patterns in a new three-component reaction-diffusion system. The system describes the coexistence and interaction of water reservoirs, vegetation, and bushfire activity in a given ecosystem. We perform a detailed stability analysis to determine the parameter space where an unstable homogeneous equilibrium becomes stable with respect to spatially nonuniform perturbations. We also use diffusion to generate traveling tra…

Mean first-encounter times of simultaneous random walkers with resetting on networks
Daniel Rubio-G\'omez, Alejandro P. Riascos, Jos\'e L. Mateos
https://arxiv.org/abs/2508.05313

Mean first-encounter times of simultaneous random walkers with resetting on networks
We investigate the dynamics of simultaneous random walkers with resetting on networks and derive exact analytical expressions for the mean first-encounter times of Markovian random walkers. Specifically, we consider two cases for the simultaneous dynamics of two random walkers on networks: when only one walker resets to the initial node, and when both walkers return to their initial positions. In both cases, the encounter times are expressed in terms of the eigenvalues and eigenvectors of the t…

Intrinsic ultrafast edge photocurrent dynamics in WTe$_2$ driven by broken crystal symmetry
Subhashri Chatterjee, Katsumasa Yoshioka, Taro Wakamura, Vasili Perebeinos, Norio Kumada
https://arxiv.org/abs/2510.06618

Intrinsic ultrafast edge photocurrent dynamics in WTe$_2$ driven by broken crystal symmetry
Directional photocurrents in two-dimensional materials arise from broken crystal symmetry, offering pathways to high-speed, bias-free photodetection beyond conventional devices. Tungsten ditelluride (WTe$_2$), a type-II Weyl semimetal, exhibits robust symmetry-breaking-induced edge photocurrents from competing nonlinear optical and photothermoelectric (PTE) mechanisms, whose intrinsic dynamics have remained experimentally inaccessible. Here, we directly resolve sub-picosecond edge photocurrent …

Non-Exponential Decay in Finite Photonic Waveguide Arrays
Florian H. Huber, Benedikt Braumandl, Johannes Kn\"orzer, Jonas Himmel, Carlotta Versmold, Robert H. Jonsson, Alexander Szameit, Jasmin Meinecke
https://arxiv.org/abs/2509.06443

Non-Exponential Decay in Finite Photonic Waveguide Arrays
Open quantum-system dynamics can follow exponential decay, non-exponential relaxation, or oscillatory dynamics, depending on the system-environment coupling. We study a lattice with a boundary defect that transitions between these regimes, controlled by a single parameter. Extending the exact solution to the oscillatory case, we establish a unified theory confirmed by experiments in integrated waveguide arrays. We characterize finite-size effects by comparing analytics, numerics, and data. This…

Unveiling the Lithium-Ion Transport Mechanism in Li2ZrCl6 Solid-State Electrolyte via Deep Learning-Accelerated Molecular Dynamics Simulations
Hanzeng Guo, Volodymyr Koverga, Selva Chandrasekaran Selvaraj, Anh T. Ngo
https://arxiv.org/abs/2508.05598

Unveiling the Lithium-Ion Transport Mechanism in Li2ZrCl6 Solid-State Electrolyte via Deep Learning-Accelerated Molecular Dynamics Simulations
Lithium zirconium chlorides (LZCs) present a promising class of cost-effective solid electrolyte for next-generation all-solid-state batteries. The unique crystal structure of LZCs plays a crucial role in facilitating lithium-ion mobility, which is central to their electrochemical performance. To understand the underlying mechanism governing ion transport, we employed deep learning-accelerated molecular dynamics simulation on Li2ZrCl6 (trigonal α- and monoclinic \b{eta}-LZC), focusing specific…

Sensitivity-Driven Adaptive Surrogate Modeling for Simulation and Optimization of Dynamical Systems
Jonathan R. Cangelosi, Matthias Heinkenschloss
https://arxiv.org/abs/2509.04651

Sensitivity-Driven Adaptive Surrogate Modeling for Simulation and Optimization of Dynamical Systems
This paper develops a surrogate model refinement approach for the simulation of dynamical systems and the solution of optimization problems governed by dynamical systems in which surrogates replace expensive-to-compute state- and control-dependent component functions in the dynamics or objective function. For example, trajectory simulation and optimization tasks for an aircraft depend on aerodynamic coefficient functions whose evaluation requires expensive computational fluid dynamics simulatio…

Classical Polymerization of the Bianchi I Model with Deformed Poisson Structure
Babak Vakili
https://arxiv.org/abs/2510.06628 https://arxiv.org/pdf/2510.06…

Classical Polymerization of the Bianchi I Model with Deformed Poisson Structure
We study the dynamics of the Bianchi~I cosmological model in the presence of both polymer quantization effects and an exponential deformation of the Poisson algebra. Starting from the Hamiltonian formulation, we derive the polymer-deformed equations of motion and analyze their solutions for the contracting branch of the model. In contrast with the undeformed classical dynamics, the exponential deformation with suitable values of deformation parameters, produces a noticeably slower evolution of …

Hierarchical Reduced-Order Model Predictive Control for Robust Locomotion on Humanoid Robots
Adrian B. Ghansah, Sergio A. Esteban, Aaron D. Ames
https://arxiv.org/abs/2509.04722

Hierarchical Reduced-Order Model Predictive Control for Robust Locomotion on Humanoid Robots
As humanoid robots enter real-world environments, ensuring robust locomotion across diverse environments is crucial. This paper presents a computationally efficient hierarchical control framework for humanoid robot locomotion based on reduced-order models -- enabling versatile step planning and incorporating arm and torso dynamics to better stabilize the walking. At the high level, we use the step-to-step dynamics of the ALIP model to simultaneously optimize over step periods, step lengths, and…

Hierarchy of Qubit Dynamical Maps in the Presence of Symmetry and Coherence
Unnati Akhouri
https://arxiv.org/abs/2509.04790 https://arxiv.org/pdf/2509.0479…

Hierarchy of Qubit Dynamical Maps in the Presence of Symmetry and Coherence
We investigate the relationship between symmetries and thermodynamic transformations by analyzing how global energy conservation and coherence resources affect the local dynamics of subsystems. We prove that U(1) conservation fundamentally constrains quantum thermodynamic operations through charge conservation of Pauli strings. Our no-go theorem shows that U(1) dynamics cannot generate local coherence from diagonal thermal states, restricting thermal operations to phase-covariant maps. Breaking…

From Control to Opinion Dynamics: Signum Consensus Protocol on Arbitrary Weighted Directed Graphs
Mingxi Li, Hanzhou Wang, Dongyu Li
https://arxiv.org/abs/2509.06080 https://

From Control to Opinion Dynamics: Signum Consensus Protocol on Arbitrary Weighted Directed Graphs
We study the signum consensus protocol in continuous-time systems over arbitrary weighted directed graphs with bounded disturbances. The right-hand side of the differential equation is discontinuous on a codimension-$n$ manifold ($n > 1$). On such a manifold, the Filippov sliding vector is not uniquely determined. This results in non-unique solutions and makes the analysis of the system challenging. We define the Polarization Index as the supremum of the growth rate of the difference between th…

Seed models in scalar field cosmology
I. V. Fomin
https://arxiv.org/abs/2510.06724 https://arxiv.org/pdf/2510.06724…

Seed models in scalar field cosmology
The correspondence of single-field cosmological models based on Einstein gravity to modern observational data is considered. A method is proposed to determine possible types of dynamics based on extreme values of the scalar field. It is shown that within the framework of this approach, it is possible to obtain a limited class of known inflationary models at early times. It is also shown that on large times the proposed approach leads to the $Λ$CDM--model in order to describe the dynamics of th…

Reachable Predictive Control: A Novel Control Algorithm for Nonlinear Systems with Unknown Dynamics and its Practical Applications
Taha Shafa, Yiming Meng, Melkior Ornik
https://arxiv.org/abs/2510.02623

Reachable Predictive Control: A Novel Control Algorithm for Nonlinear Systems with Unknown Dynamics and its Practical Applications
This paper proposes an algorithm capable of driving a system to follow a piecewise linear trajectory without prior knowledge of the system dynamics. Motivated by a critical failure scenario in which a system can experience an abrupt change in its dynamics, we demonstrate that it is possible to follow a set of waypoints comprised of states analytically proven to be reachable despite not knowing the system dynamics. The proposed algorithm first applies small perturbations to locally learn the sys…

On quantum to classical comparison for Davies generators
Joao Basso, Shirshendu Ganguly, Alistair Sinclair, Nikhil Srivastava, Zachary Stier, Thuy-Duong Vuong
https://arxiv.org/abs/2510.07267

On quantum to classical comparison for Davies generators
Despite extensive study, our understanding of quantum Markov chains remains far less complete than that of their classical counterparts. [Temme'13] observed that the Davies Lindbladian, a well-studied model of quantum Markov dynamics, contains an embedded classical Markov generator, raising the natural question of how the convergence properties of the quantum and classical dynamics are related. While [Temme'13] showed that the spectral gap of the Davies Lindbladian can be much smaller than that…

Interlayer Coupling and Exciton Dynamics in 2D Hybrid Structures based on an InGaN Quantum Well coupled to a MoSe2 Monolayer
D. Chen, D. Lagarde, L. Hemmen, L. Lombez, P. Renucci, M. Mauguet, L. Ren, C. Robert, N. Grandjean, X. Marie
https://arxiv.org/abs/2509.06547

Interlayer Coupling and Exciton Dynamics in 2D Hybrid Structures based on an InGaN Quantum Well coupled to a MoSe2 Monolayer
Hybrid structures incorpora1ng both III-nitride and Transi1on Metal Dichalcogenide (TMD) semiconductors have strong applica1on poten1al for light harves1ng and optoelectronics. Here we have inves1gated the proper1es of hybrid structures based on a MoSe2 monolayer coupled to an InGaN quantum well (QW). The coupling efficiency is controlled by a thin GaN barrier of variable thickness located between them. Time-integrated and 1me-resolved micro-photoluminescence experiments show a quenching of the…

A Practical Guide to Rigorously Locate Periodic Orbits in Discrete Dynamics
Luc\'ia Alonso Mozo, Olivier H\'enot, Phillipo Lappicy
https://arxiv.org/abs/2510.06373 https…

A Practical Guide to Rigorously Locate Periodic Orbits in Discrete Dynamics
Periodic orbits are important objects of discrete dynamical systems, but finding them is not always easy. We present a self-contained introductory account, aimed at non-experts, to prove their existence and study their stability using the aid of the computer. The method consists in three main steps. First, we reformulate the problem of identifying a $p$-periodic orbit as a root-finding problem. Second, we find a numerical approximation of the root (i.e. a periodic orbit candidate). Third, we ve…

Active Learning of A Crystal Plasticity Flow Rule From Discrete Dislocation Dynamics Simulations
Nicholas Huebner Julian, Giacomo Po, Enrique Martinez, Nithin Mathew, Danny Perez
https://arxiv.org/abs/2509.04788

Active Learning of A Crystal Plasticity Flow Rule From Discrete Dislocation Dynamics Simulations
Continuum-scale material deformation models, such as crystal plasticity, can significantly enhance their predictive accuracy by incorporating input from lower-scale (i.e., mesoscale) models. The procedure to generate and extract the relevant information is however typically complex and ad hoc, involving decision and intervention by domain experts, leading to long development times. In this study, we develop a principled approach for calibration of continuum-scale models using lower scale inform…

Stabilization and Regaining Periodicity in Modular Laplacian Dynamics
Ma{\l}gorzata Nowak-K\k{e}pczyk
https://arxiv.org/abs/2509.05815 https://arxiv.org/pd…

Stabilization and Regaining Periodicity in Modular Laplacian Dynamics
We study discrete Laplacians on two-dimensional lattices under modular iterations, focusing on the emergence of nontrivial large-scale patterns. While purely binary or constant modular sequences quickly collapse into strict periodicity, the insertion of a single non-binary step k yields qualitatively new behavior. Through extensive computer-assisted exploration we identify a taxonomy of long-lived figures - rugs, quasi-carpets, and carpets - whose occurrence depends systematically on seed symme…

Synchronization of coupled Stuart-Landau oscillators: How heterogeneity can facilitate synchronization
Ana P Mill\'an, David Poyato, David N Reynolds, Francesco Tudisco
https://arxiv.org/abs/2510.05243

Synchronization of coupled Stuart-Landau oscillators: How heterogeneity can facilitate synchronization
We study the collective dynamics of coupled Stuart--Landau oscillators, which model limit-cycle behavior near a Hopf bifurcation and serve as the amplitude-phase analogue of the Kuramoto model. Unlike the well-studied phase-reduced systems, the full Stuart--Landau model retains amplitude dynamics, enabling the emergence of rich phenomena such as amplitude death, quenching, and multistable synchronization. We provide a complete analytical classification of asymptotic behaviors for identical natu…