Tootfinder

Neural Conditional Simulation for Complex Spatial Processes
Julia Walchessen, Andrew Zammit-Mangion, Rapha\"el Huser, Mikael Kuusela
https://arxiv.org/abs/2508.20067 https:…

Neural Conditional Simulation for Complex Spatial Processes
A key objective in spatial statistics is to simulate from the distribution of a spatial process at a selection of unobserved locations conditional on observations (i.e., a predictive distribution) to enable spatial prediction and uncertainty quantification. However, exact conditional simulation from this predictive distribution is intractable or inefficient for many spatial process models. In this paper, we propose neural conditional simulation (NCS), a general method for spatial conditional si…

Structure and dynamics of the internetwork solar chromosphere: results of a small-scale dynamo simulation
D. Przybylski, R. Cameron, S. K. Solanki, M. Rempel, S. Danilovic, J. Leenaarts
https://arxiv.org/abs/2508.19809

Structure and dynamics of the internetwork solar chromosphere: results of a small-scale dynamo simulation
The heating and structure of the solar chromosphere depends on the underlying magnetic field, among other parameters. The lowest magnetic flux of the solar atmosphere is found in the quiet Sun internetwork and is thought to be provided by the small-scale dynamo (SSD) process. We aim to understand the chromospheric structure and dynamics in a simulation with purely SSD generated magnetic fields. We perform a 3D radiation-magnetohydrodynamic (rMHD) simulation of the solar atmosphere, including th…

Towards Production-Worthy Simulation for Autonomous Cyber Operations
Konur Tholl, Mariam El Mezouar, Ranwa Al Mallah
https://arxiv.org/abs/2508.19278 https://

Towards Production-Worthy Simulation for Autonomous Cyber Operations
Simulated environments have proven invaluable in Autonomous Cyber Operations (ACO) where Reinforcement Learning (RL) agents can be trained without the computational overhead of emulation. These environments must accurately represent cybersecurity scenarios while producing the necessary signals to support RL training. In this study, we present a framework where we first extend CybORG's Cage Challenge 2 environment by implementing three new actions: Patch, Isolate, and Unisolate, to better repres…

Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design
Giovanni Pollo, Andrei Mihai Albu, Alessio Burrello, Daniele Jahier Pagliari, Cristian Tesconi, Loris Panaro, Dario Soldi, Fabio Autieri, Sara Vinco
https://arxiv.org/abs/2508.19665

Automatic integration of SystemC in the FMI standard for Software-defined Vehicle design
The recent advancements of the automotive sector demand robust co-simulation methodologies that enable early validation and seamless integration across hardware and software domains. However, the lack of standardized interfaces and the dominance of proprietary simulation platforms pose significant challenges to collaboration, scalability, and IP protection. To address these limitations, this paper presents an approach for automatically wrapping SystemC models by using the Functional Mock-up Int…

The Indispensable Role of User Simulation in the Pursuit of AGI
Krisztian Balog, ChengXiang Zhai
https://arxiv.org/abs/2509.19456 https://arxiv.org/pdf/250…

The Indispensable Role of User Simulation in the Pursuit of AGI
Progress toward Artificial General Intelligence (AGI) faces significant bottlenecks, particularly in rigorously evaluating complex interactive systems and acquiring the vast interaction data needed for training adaptive agents. This paper posits that user simulation -- creating computational agents that mimic human interaction with AI systems -- is not merely a useful tool, but is a critical catalyst required to overcome these bottlenecks and accelerate AGI development. We argue that realistic …

NVIDIA Just Solved The Hardest Problem in Physics Simulation! by Two Minute Papers
https://www.youtube.com/watch?v=7NF3CdXkm68

CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows
Xinglong Zhang, Huiwen Tan, Jingyi Liu, Zihan Li, Lewen Wang, Benjamin W. J. Chen
https://arxiv.org/abs/2508.20042

CHEMSMART: Chemistry Simulation and Modeling Automation Toolkit for High-Efficiency Computational Chemistry Workflows
CHEMSMART (Chemistry Simulation and Modeling Automation Toolkit) is an open-source, Python-based framework designed to streamline quantum chemistry workflows for homogeneous catalysis and molecular modeling. By integrating job preparation, submission, execution, results analysis, and visualization, CHEMSMART addresses the inefficiencies of manual workflow management in computational chemistry by ensuring seamless interoperability with quantum chemistry packages and cheminformatics platforms. It…

#SteadySupporter
Wie lässt sich das Wachstum von #Feldfrüchte​n vorhersagen, ohne sie überhaupt anzubauen?
Ein neues KI-Modell aus #Bonn erstellt datenbasierte Simulationen auf…

KI-Software kann das Wachstum von Feldfrüchten simulieren
Eine neue Software zur Simulation des Pflanzenwachstums ermöglicht präzise Vorhersagen und unterstützt Landwirte bei wichtigen Entscheidungen.

Quantum Simulation and Energy Estimation for Discretized Anharmonic oscillator
Saurav Suman, Bikash K. Behera, Vivek Vyas, Prasanta k. Panigrahi
https://arxiv.org/abs/2509.20907

Quantum Simulation and Energy Estimation for Discretized Anharmonic oscillator
Anharmonic potential quantum system play crucial role in physics as they provide a more realistic description of oscillatory phenomena, which often deviate from the idealized harmonic model. However, simulating such system on classical computers is highly challenging due to nonlinear interactions, large state spaces, and the exponential scaling of memory and computational resources. In this work, quantum simulation is employed to model a quantum anharmonic oscillator (QAHO) using a 3-qubit syst…

MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models
Faraz Faruqi, Amira Abdel-Rahman, Leandra Tejedor, Martin Nisser, Jiaji Li, Vrushank Phadnis, Varun Jampani, Neil Gershenfeld, Megan Hofmann, Stefanie Mueller
https://arxiv.org/abs/2509.20571

MechStyle: Augmenting Generative AI with Mechanical Simulation to Create Stylized and Structurally Viable 3D Models
Recent developments in Generative AI enable creators to stylize 3D models based on text prompts. These methods change the 3D model geometry, which can compromise the model's structural integrity once fabricated. We present MechStyle, a system that enables creators to stylize 3D printable models while preserving their structural integrity. MechStyle accomplishes this by augmenting the Generative AI-based stylization process with feedback from a Finite Element Analysis (FEA) simulation. As the st…

When I design physical objects, I think in boxes and simple, usually circular-section curves. This has been true when I freehand build physical objects, as well as when I model things on the computer. Fillets are about as crazy as I get.
I'm in awe of artists whose design imaginations extend to "organic" shapes.
Reminds me of music a bit. I was a reasonably good high school musician. Played multiple instruments; did fine in music competition on several of them. That's just en…

SMC-X: A Distributed Scalable Monte Carlo Simulation Method for Chemically Complex Alloys
Xianglin Liu, Kai Yang, Fanli Zhou, Pengxiang Xu
https://arxiv.org/abs/2509.20949 https…

SMC-X: A Distributed Scalable Monte Carlo Simulation Method for Chemically Complex Alloys
To predict the complex chemical evolution in multicomponent alloys, it is highly desirable to have accurate atomistic simulation methods capable of reaching sufficiently large spatial and temporal scales. In this work, we advance the recently proposed SMC-X method through distributed computation on either GPUs or CPUs, pushing both spatial and temporal scales of atomistic simulation of chemically complex alloys to previously inaccessible scales. This includes a 16-billion-atom HEA system extend…

NFL longshot picks, 2025 Week 4 odds, player props: This parlay would bring an $8,000 return on a $10 bet

https://www.cbssports.com/nfl/news/nfl-lon

Accelerating the Monte Carlo simulation of the Enskog equation for multiscale dense gas flows
Bin Hu, Liyan Luo, Lei Wu
https://arxiv.org/abs/2509.20816 https://

Accelerating the Monte Carlo simulation of the Enskog equation for multiscale dense gas flows
A general synthetic iterative scheme is proposed to solve the Enskog equation within a Monte Carlo framework. The method demonstrates rapid convergence by reducing intermediate Monte Carlo evolution and preserves the asymptotic-preserving property, enabling spatial cell sizes much larger than the mean free path in near-continuum flows. This is realized through mesoscopic-macroscopic two-way coupling: the mesoscopic Monte Carlo simulation provides high-order constitutive relations to close the m…

Bridging Simulation and Silicon: A Study of RISC-V Hardware and FireSim Simulation
Atanu Barai, Kamalavasan Kamalakkannan, Patrick Diehl, Maxim Moraru, Jered Dominguez-Trujillo, Howard Pritchard, Nandakishore Santhi, Farzad Fatollahi-Fard, Galen Shipman
https://arxiv.org/abs/2509.18472

"Because there are many things the simulacrum (the simulation or reproduction) of things do not have that the _actual_ things do have. People still flock to see the Mona Lisa despite reproductions, even very high quality and faithful reproductions."
https://stuff.davidaugust.com/being-hu

Being Human in the Age of AI
being human is big, bigger than we usually think it is

Study on Locomotive Epidemic Dynamics in a Stochastic Spatio-Temporal Simulation Model on a Multiplex Network
H. M. Shadman Tabib, Jaber Ahmed Deedar, K. M. Ariful Kabir
https://arxiv.org/abs/2509.21017

Study on Locomotive Epidemic Dynamics in a Stochastic Spatio-Temporal Simulation Model on a Multiplex Network
This study presents an integrated approach to understanding epidemic dynamics through a stochastic spatio-temporal simulation model on a multiplex network, blending physical and informational layers. The physical layer maps the geographic movement of individuals, while the information layer tracks the spread of knowledge and health behavior via social interactions. We explore the interplay between physical mobility, information flow, and epidemic outcomes by simulating disease spread within thi…

Boltz-ABFE: Free Energy Perturbation without Crystal Structures
Stephan Thaler, Zhiyi Wu, William G. Glass, Richard T. Bradshaw, Prudencio Tossou, Geoffrey P. F. Wood
https://arxiv.org/abs/2508.19385

Boltz-ABFE: Free Energy Perturbation without Crystal Structures
Free energy perturbation (FEP) is considered the gold-standard simulation method for estimating small molecule binding affinity, a quantity of vital importance to drug discovery. The accuracy of FEP critically depends on an accurate model of the protein-ligand complex as an initial condition for the underlying molecular dynamics simulation. This requirement has limited the impact of FEP in earlier stages of the discovery process, where appropriate experimental crystal structures are rarely avai…

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View
Tian Qiu, Alan Zoubi, Yiyuan Lin, Ruiming Du, Lailiang Cheng, Yu Jiang
https://arxiv.org/abs/2508.19508

DATR: Diffusion-based 3D Apple Tree Reconstruction Framework with Sparse-View
Digital twin applications offered transformative potential by enabling real-time monitoring and robotic simulation through accurate virtual replicas of physical assets. The key to these systems is 3D reconstruction with high geometrical fidelity. However, existing methods struggled under field conditions, especially with sparse and occluded views. This study developed a two-stage framework (DATR) for the reconstruction of apple trees from sparse views. The first stage leverages onboard sensors …

A Verified Compiler for Quantum Simulation
Liyi Li, Fenfen An, Federico Zahariev, Zhi Xiang Chong, Amr Sabry, Mark Gordon
https://arxiv.org/abs/2509.18583 https://

Probing the Parameter Space of Axion-Like Particles Using Simulation-Based Inference
Pooja Bhattacharjee, Christopher Eckner, Gabrijela Zaharijas, Gert Kluge, Giacomo D'Amico
https://arxiv.org/abs/2509.20578

Probing the Parameter Space of Axion-Like Particles Using Simulation-Based Inference
Axion-like particles (ALPs), hypothetical pseudoscalar particles that couple to photons, are among the most actively investigated candidates for new physics beyond the Standard Model. Their interaction with gamma rays in the presence of astrophysical magnetic fields can leave characteristic, energy-dependent modulations in observed spectra. Capturing such subtle features requires precise statistical inference, but standard likelihood-based methods often fall short when faced with complex models…

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Phuoc Pham, Arun Venkitaraman, Chia-Yu Hsieh, Andrea Bonetti, Stefan Uhlich, Markus Leibl, Simon Hofmann, Eisaku Ohbuchi, Lorenzo Servadei, Ulf Schlichtmann, Robert Wille
https://arxiv.org/abs/2508.19393

GENIE-ASI: Generative Instruction and Executable Code for Analog Subcircuit Identification
Analog subcircuit identification is a core task in analog design, essential for simulation, sizing, and layout. Traditional methods often require extensive human expertise, rule-based encoding, or large labeled datasets. To address these challenges, we propose GENIE-ASI, the first training-free, large language model (LLM)-based methodology for analog subcircuit identification. GENIE-ASI operates in two phases: it first uses in-context learning to derive natural language instructions from a few …

Comparative analysis of corneal and lens doses in nuclear medicine and impact of lead eyeglasses: a Monte Carlo simulation approach
Zahra Akbari Khanaposhtani, Hossein Rajabi
https://arxiv.org/abs/2508.19370

Comparative analysis of corneal and lens doses in nuclear medicine and impact of lead eyeglasses: a Monte Carlo simulation approach
Objective: Research on eye lens dosimetry for radiation workers has increased after the 2012 ICRP118 update on eye lens dose limits. However, corneal dosimetry remains underexplored due to historical focus and measurement challenges. This study uses a high-resolution digital eye phantom in Monte Carlo simulations to estimate corneal and lens doses for nuclear medicine staff, with and without lead glasses. Method: The Monte Carlo code GATE (version 9.0) based on GEANT4 (version 10.6) was used to…

CSRD2025: A Large-Scale Synthetic Radio Dataset for Spectrum Sensing in Wireless Communications
Shuo Chang, Rui Sun, Jiashuo He, Sai Huang, Kan Yu, Zhiyong Feng
https://arxiv.org/abs/2508.19552

CSRD2025: A Large-Scale Synthetic Radio Dataset for Spectrum Sensing in Wireless Communications
The development of Large AI Models (LAMs) for wireless communications, particularly for complex tasks like spectrum sensing, is critically dependent on the availability of vast, diverse, and realistic datasets. Addressing this need, this paper introduces the ChangShuoRadioData (CSRD) framework, an open-source, modular simulation platform designed for generating large-scale synthetic radio frequency (RF) data. CSRD simulates the end-to-end transmission and reception process, incorporating an ext…

Symbolic Equation Modeling of Composite Loads: A Kolmogorov-Arnold Network based Learning Approach
Sonam Dorji, Yongkang Sun, Yuchen Zhang, Ghavameddin Nourbakhsh, Yateendra Mishra, Yan Xu
https://arxiv.org/abs/2508.19612

Symbolic Equation Modeling of Composite Loads: A Kolmogorov-Arnold Network based Learning Approach
With increasing penetration of distributed energy resources installed behind the meter, there is a growing need for adequate modelling of composite loads to enable accurate power system simulation analysis. Existing measurement based load modeling methods either fit fixed-structure physical models, which limits adaptability to evolving load mixes, or employ flexible machine learning methods which are however black boxes and offer limited interpretability. This paper presents a new learning base…

Crosslisted article(s) found for math.NA. https://arxiv.org/list/math.NA/new
[1/1]:
- Fourier transform-based linear combination of Hamiltonian simulation
Xi Huang, Dong An

A CARLA-based Simulation of Electrically Driven Forklifts
David Claus, Christiane Thielemann, Hans-Georg Stark
https://arxiv.org/abs/2509.15909 https://arx…

A CARLA-based Simulation of Electrically Driven Forklifts
This paper presents the simulation of the operation of an electric forklift fleet within an intralogistics scenario. For this purpose, the open source simulation tool CARLA is used; according to our knowledge this is a novel approach in the context of logistics simulation. First, CARLA is used to generate and visualize a realistic 3D outdoor warehouse scenario, incorporating a number of randomly moving forklifts. In a next step, intralogistics transport tasks, such as pick-and-place, are simula…

The Seven Dwarfs illuminated. The impact of radiation on dwarf galaxies and their circumgalactic medium
Bernhard Baumschlager, Sijing Shen, James W. Wadsley, Benjamin Keller, Robert Wissing, Lucio Mayer, Piero Madau, Ferah Munshi, Alyson Brooks
https://arxiv.org/abs/2508.19396

The Seven Dwarfs illuminated. The impact of radiation on dwarf galaxies and their circumgalactic medium
We present a high-resolution cosmological zoom-in simulation of a group of field dwarf galaxies which includes on-the-fly radiative transfer (RT) and is evolved to $z=0$. Emission from stars is included according to age-dependent spectra, and a redshift-dependent UV background. The inclusion of RT results in the formation of eight additional faint dwarf galaxies with stellar masses of $10^{4}$ M$_{\odot}$ to several $10^{5}$ M$_{\odot}$ and only old stellar populations, similar to the observed …

For #TextureTuesday some more WIP snapshots of STRATA, a generative system I've been on/off working on since 2014 (in Clojure/TypeScript/Zig, originally for the cover design of HOLO magazine), loosely based on 1950s research/experiments by Barricelli, somewhat related to cellular automata and extended to use a different and much larger set of "reproduction/collision rules" f…

Experimental validation of photonic lantern imaging and wavefront sensing performance
Aditya R. Sengupta, Vincent Chambouleyron, Jordan Diaz, Matthew DeMartino, Rebecca Jensen-Clem, Benjamin L. Gerard, Michael J. Messerly, Paul Pax, Daren Dillon, Kevin Bundy, Maria Cuevas, Sylvain Cetre, Bruce Macintosh, Caleb Dobias, Tara Crowe, Stephen S. Eikenberry, Rodrigo Amezcua-Correa, Stephanos Yerolatsitis

Experimental validation of photonic lantern imaging and wavefront sensing performance
Photonic lanterns (PLs) are fiber-based waveguides that are capable of focal-plane wavefront sensing while simultaneously directing light to downstream science instruments. The optimal choice of wavefront reconstruction algorithm has yet to be determined, and likely depends on the particular observing scenario under consideration. Previous work in simulation suggests that PLs can be used for nonlinear wavefront sensing for several applications, including sensing the low-wind effect and correcti…

«We’re all just projecting the selves that work best in the simulation until we can end the call, take a piss, and finish the egg sandwich we made three Zoom calls ago that’s sitting half-eaten on the kitchen counter.»
https://buttondown.com/monteiro/archive/how-to-come-correct/

The Indispensable Role of User Simulation in the Pursuit of AGI
Krisztian Balog, ChengXiang Zhai
https://arxiv.org/abs/2509.19456 https://arxiv.org/pdf/250…

The Indispensable Role of User Simulation in the Pursuit of AGI
Progress toward Artificial General Intelligence (AGI) faces significant bottlenecks, particularly in rigorously evaluating complex interactive systems and acquiring the vast interaction data needed for training adaptive agents. This paper posits that user simulation -- creating computational agents that mimic human interaction with AI systems -- is not merely a useful tool, but is a critical catalyst required to overcome these bottlenecks and accelerate AGI development. We argue that realistic …

Molecular dynamics of nondegenerate hydrogen plasma using improved Kelbg pseudopotential with electron finite-size correction
G. S. Demyanov, P. R. Levashov
https://arxiv.org/abs/2508.19820

Molecular dynamics of nondegenerate hydrogen plasma using improved Kelbg pseudopotential with electron finite-size correction
This paper is devoted to semiclassical molecular dynamics simulation of nondegenerate hydrogen plasma using an improved Kelbg pseudopotential. The main novelty of our method is accounting for the finite size of electrons. This modification resolves the nonphysical cluster formation at temperatures below 50 kK, which was first reported by A.V. Filinov [Phys. Rev. E 70, 046411 (2004)]. However, the energy still appears to be underestimated at low temperatures, as indicated by comparisons with the…

An Analytical and AI-discovered Stable, Accurate, and Generalizable Subgrid-scale Closure for Geophysical Turbulence
Karan Jakhar, Yifei Guan, Pedram Hassanzadeh
https://arxiv.org/abs/2509.20365

An Analytical and AI-discovered Stable, Accurate, and Generalizable Subgrid-scale Closure for Geophysical Turbulence
By combining AI and fluid physics, we discover a closed-form closure for 2D turbulence from small direct numerical simulation (DNS) data. Large-eddy simulation (LES) with this closure is accurate and stable, reproducing DNS statistics including those of extremes. We also show that the new closure could be derived from a 4th-order truncated Taylor expansion. Prior analytical and AI-based work only found the 2nd-order expansion, which led to unstable LES. The additional terms emerge only when int…

Characterizing Nanoflare Energy and Frequency through Field Line Analysis
Shanwlee Sow Mondal, Lars K. S. Daldorff, James A. Klimchuk, Craig D. Johnston
https://arxiv.org/abs/2509.20535

Characterizing Nanoflare Energy and Frequency through Field Line Analysis
We present a detailed analysis of a 3D MHD simulation of a subset of the magnetic flux in an active region. The simulation models the generation of nanoflares and response of the plasma to imposed photospheric motions. Our study focuses on characterizing the energy distribution and occurrence frequency of the nanoflares in the simulation that self-consistently heat the corona. This field line based analysis reveals that the nanoflare energy distribution (energy per unit cross sectional area) fo…

Excited-CAFQA: A classical simulation bootstrap for the variational estimation of molecular excited states
Bikrant Bhattacharyya, Gokul Ravi
https://arxiv.org/abs/2509.20588 htt…

Excited-CAFQA: A classical simulation bootstrap for the variational estimation of molecular excited states
Variational Quantum Algorithms (VQAs) are iterative algorithms suited to implementation on current-era quantum devices. VQAs employ classical optimization to minimize cost functions evaluated on quantum circuits. However, the extent to which VQAs manage noise is often insufficient for quantum chemistry applications. One method of improving VQAs is through accurate ansatz initialization. The CAFQA (Clifford Ansatz For Quantum Accuracy) protocol runs a discrete search through a classically simula…

Cowboy Roundup: 3 key matchups vs Commanders, Madden Week 7 simulation https://www.si.com/nfl/cowboys/news/dallas-cowboys-3-key-matchups-commanders-madden-week-7-simulation

The Complexity of Deciding Characteristic Formulae Modulo Nested Simulation (extended abstract)
Luca Aceto, Antonis Achilleos, Aggeliki Chalki, Anna Ing\'olfsd\'ottir
https://arxiv.org/abs/2509.14089

The Complexity of Deciding Characteristic Formulae Modulo Nested Simulation (extended abstract)
This paper studies the complexity of determining whether a formula in the modal logics characterizing the nested-simulation semantics is characteristic for some process, which is equivalent to determining whether the formula is satisfiable and prime. The main results are that the problem of determining whether a formula is prime in the modal logic characterizing the 2-nested-simulation preorder is coNP-complete and is PSPACE-complete in the case of the n-nested-simulation preorder, when n>=3. T…

Chip design software maker Cadence agrees to acquire Stockholm-based Hexagon's design and simulation software business for ~$3.18B in cash and stock (Nathan Owens/Manufacturing Dive)
https://www.manufacturingdive.com/news/cad

Cadence Design Systems to spend $3.2B on Hexagon’s simulations tech
The acquisition would bolster the industrial software maker’s position in the growing structural analysis market used widely by Boeing, Lockheed Martin, Toyota and other suppliers.

Breaking the Discretization Barrier of Continuous Physics Simulation Learning
Fan Xu, Hao Wu, Nan Wang, Lilan Peng, Kun Wang, Wei Gong, Xibin Zhao
https://arxiv.org/abs/2509.17955

Breaking the Discretization Barrier of Continuous Physics Simulation Learning
The modeling of complicated time-evolving physical dynamics from partial observations is a long-standing challenge. Particularly, observations can be sparsely distributed in a seemingly random or unstructured manner, making it difficult to capture highly nonlinear features in a variety of scientific and engineering problems. However, existing data-driven approaches are often constrained by fixed spatial and temporal discretization. While some researchers attempt to achieve spatio-temporal conti…

In-Transit Data Transport Strategies for Coupled AI-Simulation Workflow Patterns
Harikrishna Tummalapalli, Riccardo Balin, Christine M. Simpson, Andrew Park, Aymen Alsaadi, Andrew E. Shao, Wesley Brewer, Shantenu Jha
https://arxiv.org/abs/2509.19150

LLMs don't have physicality, they are (and this is a huge inaccurate stretch) a simulation of how maybe a small part of brains might possibly work in a hugely simplified and abstracted way; an algorithm that is executed on a bunch of graphics cards—the same algorithm could be done manually on paper (with enough time).
Because they're not physical they don't exist.
Therefore there's no epistemology to be had about "do they have sentience or consciousness".

Predicting Qualification Thresholds in UEFA's incomplete round-robin tournaments via a Dixon and Coles Model
David Winkelmann, Rouven Michels, Christian Deutscher
https://arxiv.org/abs/2508.20075

Predicting Qualification Thresholds in UEFA's incomplete round-robin tournaments via a Dixon and Coles Model
In the 2024/25 season, UEFA introduced the incomplete round-robin format in the Champions League and Europa League, replacing the traditional group stage with a single league phase table of all 36 teams. Now, the top eight qualify directly for the round of 16, while teams ranked 9th-24th enter a play-off round. Existing simulation-based analyses, such as those by Opta, provide guidance on points presumably needed for qualification but show discrepancies when compared to actual outcomes in the f…

UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
Mingdong Wu, Long Yang, Jin Liu, Weiyao Huang, Lehong Wu, Zelin Chen, Daolin Ma, Hao Dong
https://arxiv.org/abs/2509.15934

UniTac2Pose: A Unified Approach Learned in Simulation for Category-level Visuotactile In-hand Pose Estimation
Accurate estimation of the in-hand pose of an object based on its CAD model is crucial in both industrial applications and everyday tasks, ranging from positioning workpieces and assembling components to seamlessly inserting devices like USB connectors. While existing methods often rely on regression, feature matching, or registration techniques, achieving high precision and generalizability to unseen CAD models remains a significant challenge. In this paper, we propose a novel three-stage fram…

Simulation: Radioteleskope auf dem Mond könnten Rätsel der Dunklen Materie lösen
Nach dem Urknall hat sich die Dunkle Materie verklumpt, Spuren davon soll es geben. Weil sie nicht von der Erde aus nachweisbar sind, gibt es einen Vorschlag.

Ein massiver Rückgang wilder #Bestäuberinsekten könnte Europa laut einer Simulation bis 2030 wirtschaftlich rund 24 Milliarden Euro kosten.
Besonders betroffen wären Regionen mit hoher #landwirtschaftlicher Abhängigkeit von

Europa ohne Wildbestäuber: Simulation zeigt die teuren Folgen des Insektensterbens
Ein hypothetisches Verschwinden der Wildbestäuber im Jahr 2030 würde nicht nur Ernteausfälle und steigende Lebensmittelpreise nach sich ziehen, sondern auch die Ernährungssicherheit und den wirtschaftlichen Wohlstand weltweit gefährden. Zu diesem Schluss kommt eine Simulation der Universität Hohenheim: Allein in Europa würde im Jahr 2030 der gesamtwirtschaftliche Schaden rund 24 Milliarden Euro betragen. Der weltweite Handel könnte die Ausfälle nur teilweise ausgleichen. Die Ergebnisse…

Hamiltonian truncation and quantum simulation of strong-field QED beyond tree level
Patrick Draper, Luis Hidalgo, Anton Ilderton
https://arxiv.org/abs/2509.15495 https://…

Hamiltonian truncation and quantum simulation of strong-field QED beyond tree level
Quantum electrodynamics in strong background fields provides an interesting class of problems for classical and quantum simulation. In this paper we formulate simulations of polarization (helicity) flip for a photon colliding with a high-intensity plane wave. Polarization flip is a one loop effect, which requires addressing new issues that do not arise in simulations of tree-level processes. Working in the momentum-space Fock basis, while convenient for the extraction of scattering amplitudes, …

Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities
Trisanth Srinivasan, Santosh Patapati
https://arxiv.org/abs/2508.19562 https://

Democracy-in-Silico: Institutional Design as Alignment in AI-Governed Polities
This paper introduces Democracy-in-Silico, an agent-based simulation where societies of advanced AI agents, imbued with complex psychological personas, govern themselves under different institutional frameworks. We explore what it means to be human in an age of AI by tasking Large Language Models (LLMs) to embody agents with traumatic memories, hidden agendas, and psychological triggers. These agents engage in deliberation, legislation, and elections under various stressors, such as budget cris…

Assessing the Power-Law Emissivity Assumption in X-ray Reflection Spectroscopy: A Simulation-Based Evaluation of Different Coronal Geometries
Songcheng Li, Abdurakhmon Nosirov, Cosimo Bambi, Honghui Liu, Zuobin Zhang, Shafqat Riaz
https://arxiv.org/abs/2509.20752

Assessing the Power-Law Emissivity Assumption in X-ray Reflection Spectroscopy: A Simulation-Based Evaluation of Different Coronal Geometries
The emissivity profile assumed in X-ray reflection spectroscopy significantly impacts black hole spin measurements. Using simulated NuSTAR spectra generated for lamppost and disk-like coronae with the relxill model suite, we evaluate systematic biases introduced when fitting with power-law or broken power-law emissivity profiles. We find that a simple power-law can accurately recover spins for low-height lamppost coronae with long exposures and low inclination angle, while broken power-laws int…

An LLM-based Agent Simulation Approach to Study Moral Evolution
Zhou Ziheng, Huacong Tang, Mingjie Bi, Yipeng Kang, Wanying He, Fang Sun, Yizhou Sun, Ying Nian Wu, Demetri Terzopoulos, Fangwei Zhong
https://arxiv.org/abs/2509.17703

An LLM-based Agent Simulation Approach to Study Moral Evolution
The evolution of morality presents a puzzle: natural selection should favor self-interest, yet humans developed moral systems promoting altruism. We address this question by introducing a novel Large Language Model (LLM)-based agent simulation framework modeling prehistoric hunter-gatherer societies. This platform is designed to probe diverse questions in social evolution, from survival advantages to inter-group dynamics. To investigate moral evolution, we designed agents with varying moral dis…

A Fourier/Modal-Spectral-Element Method for the Simulation of High-Reynolds Number Incompressible Stratified Flows in Domains with a Single Non-Periodic Direction
Nidia Reyes-Gil, Greg Thomsen, Kristopher Rowe, Peter Diamessis
https://arxiv.org/abs/2509.20833

A Fourier/Modal-Spectral-Element Method for the Simulation of High-Reynolds Number Incompressible Stratified Flows in Domains with a Single Non-Periodic Direction
We present the components of a high-order accurate Navier-Stokes solver designed to simulate high-Reynolds-number stratified flows. The proposed numerical model addresses some of the numerical and computational challenges that high-Reynolds-number simulations pose, facilitating the reproduction of stratified turbulent fluid dynamics typically observed in oceanic and atmospheric flows, namely the development of thin regions of high vertical shear, strongly layered turbulence at high Reynolds num…

OpenAIs neue App #Sora2 macht Deepfakes zur Massenware – mit endlosem KI-Videofeed statt Realität. t3n beschreibt treffend, wie Sora zum Symbol einer „AI-Tiktok-Slop-Maschine“ wird. Es geht längst nicht nur um Technik, sondern um die Frage: Wie viel Simulation verträgt unsere Gesellschaft? | #t3n

Cu2XSiS4 (X = Ge, Sn, and Pb) materials for solar-cell applications: A DFT SCAPS-1D simulation
H. Laltlanmawii, L. Celestine, R. Zosiamliana, B. Chettri, S. Bhattarai, K. C. Bhamu, D. P. Rai
https://arxiv.org/abs/2509.20845

Cu2XSiS4 (X = Ge, Sn, and Pb) materials for solar-cell applications: A DFT+SCAPS-1D simulation
By means of the first-principles density functional theory (DFT), I2-II-IV-VI4 type Cu-based quaternary chalcogenides Cu 2 XSiS 4 (X = Ge, Sn, and Pb) have been thoroughly investigated. We report the study of Ge and Sn substitution in the divalent cation site for their potential applications in photovoltaics for the first time. The structural, electronic, optical, and mechanical properties have been calculated. The structural and thermal stability is verified by calculating the elastic constant…

ZynqParrot: A Scale-Down Approach to Cycle-Accurate, FPGA-Accelerated Co-Emulation
Daniel Ruelas-Petrisko, Farzam Gilani, Anoop Mysore Nataraja, Zoe Taylor, Michael Taylor
https://arxiv.org/abs/2509.20543

ZynqParrot: A Scale-Down Approach to Cycle-Accurate, FPGA-Accelerated Co-Emulation
As processors increase in complexity, costs grow even more rapidly, both for functional verification and performance validation. Most often, silicon characterizations comprise simple performance counters, which are aggregated and separated to tell a story. Based on these inferences, performance engineers employ microarchitectural simulation to inspect deeply into the core. Unfortunately, dramatically longer runtimes make simulation infeasible for long workloads. We propose a Scale-Down approa…

Merger-Induced Disturbance and Temporal Signatures in Galaxy Clusters: A Combined Phase Space and Photometric Analysis
Chuiyang Kong, Ian Dell'Antonio
https://arxiv.org/abs/2509.20637

Merger-Induced Disturbance and Temporal Signatures in Galaxy Clusters: A Combined Phase Space and Photometric Analysis
We present a physically interpretable framework to quantify dynamical disturbances in galaxy clusters using projected two-dimensional phase-space information. Based on the TNG-Cluster simulation, we construct a disturbance score that captures merger-driven asymmetries through features such as velocity dispersion and Gaussian Mixture Model (GMM) peak fitting, which captures asymmetries indicative of dynamical disturbance. All features are derived from observable quantities and are intended to be…

Efficient simulation of a pair of dissipative qubits antiferromagnetically coupled
Francesco G. Capone, Giulio De Filippis, Vittorio Cataudella, Antonio de Candia
https://arxiv.org/abs/2509.17110

Efficient simulation of a pair of dissipative qubits antiferromagnetically coupled
We investigate the efficiency of different quantum Monte Carlo simulations of a pair of antiferromagnetically coupled qubits in an Ohmic dissipative environment. Using a Trotter-Suzuky decomposition and integrating out the degrees of freedom of the thermal bath, the model maps onto a frustrated long-range double-chain Ising lattice. We prove that: i) due to frustration, the conventional Swendsen-Wang approach to cluster dynamics turns out to suffer from a severe inefficiency, stemming from the …

Replaced article(s) found for math.AP. https://arxiv.org/list/math.AP/new
[1/1]:
- Analysis and Simulation of a Fluid-Heat System in a Thin, Rough Layer in Contact With a Solid Bul...
Tom Freudenberg, Michael Eden

FGGS-LiDAR: Ultra-Fast, GPU-Accelerated Simulation from General 3DGS Models to LiDAR
Junzhe Wu, Yufei Jia, Yiyi Yan, Zhixing Chen, Tiao Tan, Zifan Wang, Guangyu Wang
https://arxiv.org/abs/2509.17390

FGGS-LiDAR: Ultra-Fast, GPU-Accelerated Simulation from General 3DGS Models to LiDAR
While 3D Gaussian Splatting (3DGS) has revolutionized photorealistic rendering, its vast ecosystem of assets remains incompatible with high-performance LiDAR simulation, a critical tool for robotics and autonomous driving. We present \textbf{FGGS-LiDAR}, a framework that bridges this gap with a truly plug-and-play approach. Our method converts \textit{any} pretrained 3DGS model into a high-fidelity, watertight mesh without requiring LiDAR-specific supervision or architectural alterations. This …

The First Star-by-star N-body/Hydrodynamics Simulation of Our Galaxy Coupling with a Surrogate Model: #MilkyWay Galaxy" -> Milchstraße erstmals vollständig aufgelöst: https://www.ingenieur.de/technik/fachbereiche/raumfahrt/100-mrd-sterne-milchstrasse-erstmals-vollstaendig-aufgeloest/ - ein KI-gestütztes Verfahren simuliert die Milchstraße mit 100 Milliarden Sternen.

The Impact of Radial Migration on Disk Galaxy SFHs: II. The Role of bar strength, disk thickness, and merger history
J. P. Bernaldez, I. Minchev, B. Ratcliffe, L. Marques, K. Sysoliatina, J. Walcher, S. Khoperskov, M. Martig, R. de Jong, M. Steinmetz
https://arxiv.org/abs/2508.19340

The Impact of Radial Migration on Disk Galaxy SFHs: II. The Role of bar strength, disk thickness, and merger history
Reconstructing the star formation history (SFH) of disk galaxies is central to understanding their growth and evolution, yet such estimates can be strongly biased by stellar radial migration - the redistribution of angular momenta over cosmic time. Using 186 Milky Way (MW) and Andromeda (M31) analogues from the TNG50 cosmological simulation, we compare star formation rates (SFRs) inferred from present-day stellar positions with those based on stellar birth radii to quantify the magnitude, spati…

MonochromeEvolutionaryBioDigitalCellularAutomataSimulation
Unlike the recently shared[1] multi-cellular struggles, these here are some selected research stills (handpicked from tens of thousands) of only single CA configurations (aka mono-cultures) which I found interesting/promising and which were then used as raw ingredients/candidates for my infinitely evolving C-SCAPE project[2]...
Each of these cellular automata is 1.5D, meaning each pixel row is one generation, but I allowe…

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Transition of blue-core helicon discharge
L. Chang, S. J. Zhang, J. T. Wu, Y. W. Zhang, C. Wang, Y. Peng, S. S. Gao, C. J. Sun, Q. Wang, C. F. Sang, S. C. Thakur, S. Isayama, S. J. You
https://arxiv.org/abs/2508.19662

Transition of blue-core helicon discharge
This study explores the transitional characteristics of blue-core helicon discharge, which to our knowledge was not particularly focused on before. Parameters are measured on recently built advanced linear plasma device, i.e. Multiple Plasma Simulation Linear Device (MPS-LD) by various diagnostics including Langmuir probe, optical emission spectrometer, and standard high-speed camera. It is found that the jump direction of electron density (from low level to high level) is opposite to that of e…

Replaced article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[3/4]:
- Pseudo-Simulation for Autonomous Driving
Wei Cao, et al.
https://

AI-enhanced Quantum Simulation of Schwinger Model
Ao-Ning Wang, Min-Quan He, Z. D. Wang
https://arxiv.org/abs/2509.20173 https://arxiv.org/pdf/2509.20173…

AI-enhanced Quantum Simulation of Schwinger Model
The Schwinger Model from Quantum Electrodynamics (QED) has long served as a valuable simplified model for exploring key physical phenomena in Quantum Chromodynamics (QCD)-a field rich with fundamental insights but is substantially more complex. While the phase diagram of the Schwinger Model bears extraordinary significance and remains challenging to investigate, recent progress on the model mainly focuses on detailed case studies. Here, we propose a model that we refer as the Neural Network Fac…

A Multidimensional Self-Adaptive Numerical Simulation Framework for Semiconductor Boltzmann Transport Equation
Zeyu Zhang, Xiaoyu Zhang, Zhigang Song, Qing Fang
https://arxiv.org/abs/2509.15879

A Multidimensional Self-Adaptive Numerical Simulation Framework for Semiconductor Boltzmann Transport Equation
This research addresses the numerical simulation of the Boltzmann transport equation for semiconductor devices by proposing a multidimensional self-adaptive numerical simulation framework. This framework is applied to two important generalized forms of the equation: a parabolic equation with singular properties on the unit disk and a continuity equation. The study enhances the alignment of numerical simulations with physical characteristics through polar coordinate transformation and variable d…

End-to-End Co-Simulation Testbed for Cybersecurity Research and Development in Intelligent Transportation Systems
Minhaj Uddin Ahmad, Akid Abrar, Sagar Dasgupta, Mizanur Rahman
https://arxiv.org/abs/2509.16489

End-to-End Co-Simulation Testbed for Cybersecurity Research and Development in Intelligent Transportation Systems
Intelligent Transportation Systems (ITS) have been widely deployed across major metropolitan regions worldwide to improve roadway safety, optimize traffic flow, and reduce environmental impacts. These systems integrate advanced sensors, communication networks, and data analytics to enable real-time traffic monitoring, adaptive signal control, and predictive maintenance. However, such integration significantly broadens the ITS attack surface, exposing critical infrastructures to cyber threats th…

FRB 20200428 and potentially associated hard X-ray bursts: Maser emission and synchrotron radiation of electrons in a weakly magnetized plasma?
Xiao Li, En-Wei Liang
https://arxiv.org/abs/2508.19315

FRB 20200428 and potentially associated hard X-ray bursts: Maser emission and synchrotron radiation of electrons in a weakly magnetized plasma?
The temporal and spatial coincidence between FRB 20200428 and hard peaks of the X-ray burst from SGR 1935+2154 suggests their potential association. We attributed them to the plasma synchrotron maser emission and synchrotron radiation of electrons in weakly magnetized, relativistically moving plasma blobs, and Monte Carlo simulation analysis shows that our model can predict observable fast radio burst outbursts and associated hard X-ray bursts with current telescopes. We constrained the propert…

Latent class multivariate probit and latent trait models for evaluating test accuracy without a gold standard: A simulation study
Enzo Cerullo, Sean Pinkney, Alex J. Sutton, Tim Lucas, Nicola J. Cooper, Hayley E. Jones
https://arxiv.org/abs/2509.18489

Hybrid Baseband Simulation for Single-Channel Radar-Based Indoor Localization System
Sven Hinderer, Zheming Yin, Athanasios Papanikolaou, Jan Hesselbarth, Bin Yang
https://arxiv.org/abs/2509.15650

Hybrid Baseband Simulation for Single-Channel Radar-Based Indoor Localization System
Indoor localization with chirp sequence radar at millimeter wavelength offers high localization accuracy at low system cost. We propose a hybrid radar baseband signal simulator for our novel single-channel radar-based indoor localization system consisting of an active radar and passive reflectors as references. By combining ray tracing channel simulations with real measurements of the two-way antenna gain of the radar and accurate simulation of the radar cross section of chosen reflectors, real…

Learning Robust Penetration-Testing Policies under Partial Observability: A systematic evaluation
Raphael Simon, Pieter Libin, Wim Mees
https://arxiv.org/abs/2509.20008 https://…

Learning Robust Penetration-Testing Policies under Partial Observability: A systematic evaluation
Penetration testing, the simulation of cyberattacks to identify security vulnerabilities, presents a sequential decision-making problem well-suited for reinforcement learning (RL) automation. Like many applications of RL to real-world problems, partial observability presents a major challenge, as it invalidates the Markov property present in Markov Decision Processes (MDPs). Partially Observable MDPs require history aggregation or belief state estimation to learn successful policies. We investi…

Magnetic Dip Found in a Quiescent Prominence Foot via Observation and Simulation
Huadong Chen, Chun Xia, Suli Ma, Yingna Su, Guiping Zhou, Eric Priest, Lyndsay Fletcher, Yuandeng Shen, Weining Tu, Wei Wang, Jun Zhang
https://arxiv.org/abs/2509.19723

Magnetic Dip Found in a Quiescent Prominence Foot via Observation and Simulation
Solar prominences (or filaments) are cooler and denser plasma suspended in the much hotter and rarefied solar corona. When viewed on the solar disc filament barbs or feet protrude laterally from filament spine. When observed at the limb of the Sun, they reach into the chromosphere or even further down. For a long time, the magnetic field orientation of barbs has remained a mystery due to the paradox that the barbs possess vertical fine structures and flows but are likely to be supported in a ho…

Functionally-graded drug delivery systems with binding reactions: analytical and stochastic approaches for the fraction of drug released
Obi A. Carwood, Elliot J. Carr
https://arxiv.org/abs/2508.19510 …

Functionally-graded drug delivery systems with binding reactions: analytical and stochastic approaches for the fraction of drug released
Mathematical modelling and computer simulation are increasingly being used alongside experiments to help optimise and guide the design of drug delivery systems. Recent drug delivery research has (i) highlighted the advantages of drug delivery systems constructed using functionally graded materials to achieve target release rates and desired dosage levels over time; and (ii) revealed how it is possible for drug to bind to the carrier material and become irreversibly immobilised within the system…

Muonium Spectroscopy as a Quantum Sensor for Ultralight Axion Dark Matter
Feng Fang, Kim Siang Khaw, Ce Zhang, Qiaoli Yang, Liangwen Chen, Jie Yang, Lei Yang, Zhiyu Sun
https://arxiv.org/abs/2509.20862

Muonium Spectroscopy as a Quantum Sensor for Ultralight Axion Dark Matter
High intensity muon beams open new avenues for exploring physics beyond the Standard Model. In this paper, we propose a muonium-based experiment to search for ultralight axions dark matter through resonant quantum transitions between hyperfine states. Combining theoretical calculation with simulation results, we show that a muon beam with a realistic intensity of $10^5 \rm /s$ in the $\mathcal{O}(10~\text{keV})$ energy range could improve constraints on the axion-muon coupling by {up to seven o…

The Syntax and Semantics of einsum
Maurice Wenig, Paul G. Rump, Mark Blacher, Joachim Giesen
https://arxiv.org/abs/2509.20020 https://arxiv.org/pdf/2509.20…

The Syntax and Semantics of einsum
In 2011, einsum was introduced to NumPy as a practical and convenient notation for tensor expressions in machine learning, quantum circuit simulation, and other fields. It has since been implemented in additional Python frameworks such as PyTorch and TensorFlow, as well as in other programming languages such as Julia. Despite its practical success, the einsum notation still lacks a solid theoretical basis, and is not unified across the different frameworks, limiting opportunities for formal rea…

Population-Aligned Persona Generation for LLM-based Social Simulation
Zhengyu Hu, Zheyuan Xiao, Max Xiong, Yuxuan Lei, Tianfu Wang, Jianxun Lian, Kaize Ding, Ziang Xiao, Nicholas Jing Yuan, Xing Xie
https://arxiv.org/abs/2509.10127

Population-Aligned Persona Generation for LLM-based Social Simulation
Recent advances in large language models (LLMs) have enabled human-like social simulations at unprecedented scale and fidelity, offering new opportunities for computational social science. A key challenge, however, is the construction of persona sets that authentically represent the diversity and distribution of real-world populations. Most existing LLM-based social simulation studies focus primarily on designing agentic frameworks and simulation environments, often overlooking the complexities…

The Flagship galaxy mock catalogue - a comprehensive simulation for the #Euclid mission: https://www.aanda.org/articles/aa/full_html/2025/05/aa50853-24/aa50853-24.html -> A virtual Universe for Euclid: https://www.euclid-ec.org/public/press-releases/euclid-flagship-simulations/ - the largest cosmological simulations catalogue is now public.

Rich State Observations Empower Reinforcement Learning to Surpass PID: A Drone Ball Balancing Study
Mingjiang Liu, Hailong Huang
https://arxiv.org/abs/2509.21122 https://…

Rich State Observations Empower Reinforcement Learning to Surpass PID: A Drone Ball Balancing Study
This paper addresses a drone ball-balancing task, in which a drone stabilizes a ball atop a movable beam through cable-based interaction. We propose a hierarchical control framework that decouples high-level balancing policy from low-level drone control, and train a reinforcement learning (RL) policy to handle the high-level decision-making. Simulation results show that the RL policy achieves superior performance compared to carefully tuned PID controllers within the same hierarchical structure…

Connecting Quantum Computing with Classical Stochastic Simulation
Jose Blanchet, Mark S. Squillante, Mario Szegedy, Guanyang Wang
https://arxiv.org/abs/2509.18614 https://

Validation of a Reynolds-averaged numerical simulation environment to simulate high-pressure, auto-igniting hydrogen diffusion flames
N. Diepstraten, L. M. T. Somers, J. A. van Oijen
https://arxiv.org/abs/2509.18841

Trace Replay Simulation of MIT SuperCloud for Studying Optimal Sustainability Policies
Wesley Brewer, Matthias Maiterth, Damien Fay
https://arxiv.org/abs/2509.16513 https://

Trace Replay Simulation of MIT SuperCloud for Studying Optimal Sustainability Policies
The rapid growth of AI supercomputing is creating unprecedented power demands, with next-generation GPU datacenters requiring hundreds of megawatts and producing fast, large swings in consumption. To address the resulting challenges for utilities and system operators, we extend ExaDigiT, an open-source digital twin framework for modeling power, cooling, and scheduling of supercomputers. Originally developed for replaying traces from leadership-class HPC systems, ExaDigiT now incorporates hetero…

NFL longshot picks, 2025 Week 4 odds, player props: This NFL parlay could bring an $8,000 return on $10 bet

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MonochromeEvolutionaryBioDigitalMultiCellularSymbiosisStruggle
(Selected stills from my infinitely evolving C-SCAPE project, 2022 - made with #MonochromeMonday

Data-Driven Reduced-Order Modeling of Phase Mixing Dynamics from Particle Kinetic Simulation
Darian Figuera-Michal, Sungpil Yum, Jae-Min Kwon, Eisung Yoon
https://arxiv.org/abs/2509.16535

Data-Driven Reduced-Order Modeling of Phase Mixing Dynamics from Particle Kinetic Simulation
Phase mixing is a fundamental kinetic process that governs dissipation and stability in collisionless plasmas, but its inherent filamentation in velocity space creates major challenges for both high-fidelity simulations and reduced-order modeling. This work presents the first exploratory evaluation of a joint Proper Orthogonal Decomposition and Sparse Identification of Nonlinear Dynamics (POD-SINDy) framework applied to particle-in-cell simulations of phase mixing. Simulation datasets were gene…

Transversal STAR architecture for megaquop-scale quantum simulation with neutral atoms
Refaat Ismail, I-Chi Chen, Chen Zhao, Ronen Weiss, Fangli Liu, Hengyun Zhou, Sheng-Tao Wang, Andrew Sornborger, Milan Kornja\v{c}a
https://arxiv.org/abs/2509.18294

EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation
Junzhe Wang, Jiarui Xie, Pengfei Hao, Zheng Li, Yi Cai
https://arxiv.org/abs/2509.20656 https://

EEG-Driven AR-Robot System for Zero-Touch Grasping Manipulation
Reliable brain-computer interface (BCI) control of robots provides an intuitive and accessible means of human-robot interaction, particularly valuable for individuals with motor impairments. However, existing BCI-Robot systems face major limitations: electroencephalography (EEG) signals are noisy and unstable, target selection is often predefined and inflexible, and most studies remain restricted to simulation without closed-loop validation. These issues hinder real-world deployment in assistiv…

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
Mohamed Manzour, Catherine M. Elias, Omar M. Shehata, Rub\'en Izquierdo, Miguel \'Angel Sotelo
https://arxiv.org/abs/2509.20218

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
Research on lane change prediction has gained attention in the last few years. Most existing works in this area have been conducted in simulation environments or with pre-recorded datasets, these works often rely on simplified assumptions about sensing, communication, and traffic behavior that do not always hold in practice. Real-world deployments of lane-change prediction systems are relatively rare, and when they are reported, the practical challenges, limitations, and lessons learned are oft…

Dynamical properties of oscillating, viscous, transonic accretion disks around black holes
Sanjit Debnath, Indranil Chattopadhyay, Raj Kishor Joshi, Philippe Laurent, Priyesh Kumar Tripathi, M. Saleem Khan
https://arxiv.org/abs/2509.19934

Dynamical properties of oscillating, viscous, transonic accretion disks around black holes
We investigate the time evolution of sub-Keplerian transonic accretion flow onto a non-rotating black hole using axisymmetric viscous hydrodynamic simulations. We simulate the accretion flow using boundary values from semi-analytical analysis and set up three different models. Two of the models do not predict accretion shocks from the semi-analytic analysis, while one of them does. We also consider radiative cooling along with viscosity in the simulation. Our two-dimensional simulation deviated…

Quantum Random Synthetic Skyrmion Texture Generation, a Qiskit Simulation
Hillol Biswas
https://arxiv.org/abs/2509.18947 https://arxiv.org/pdf/2509.18947…

Quantum Random Synthetic Skyrmion Texture Generation, a Qiskit Simulation
An integer winding, i.e., topological charge, is a characteristic of skyrmions, which are topologically nontrivial spin patterns in magnets. They emerge when smooth two-dimensional spin configurations are stabilized by conflicting interactions such as exchange, anisotropy, the Dzyaloshinskii-Moriya interaction, or geometric frustration. These nanoscale textures, which are typically a few to tens of nanometers in size, are strong 'particle-like' excitations because they are shielded by energy ba…

Energy transfer from MHD-scale slow-mode waves to kinetic-scale ion acoustic waves
Xiaofei Shi, Xin An, Vassilis Angelopoulos
https://arxiv.org/abs/2509.19763 https://

Energy transfer from MHD-scale slow-mode waves to kinetic-scale ion acoustic waves
Large-amplitude slow-mode waves are commonly observed near Earth's magnetopause. Recent observations show that these waves can occur simultaneously with kinetic-scale ion acoustic waves. The amplitude of the ion acoustic waves is enhanced near the magnetic field peaks of the slow-mode wave, suggesting that the slow-mode waves may drive the generation of ion acoustic waves. To test this hypothesis, we conduct a hybrid simulation using observation-based parameters. The simulation results demonstr…

The influence of boundary conditions and interfacial slip on the time taken to achieve a nonequilibrium steady-state for highly confined flows
Carmelo Riccardo Civello, Luca Maffioli, Joseph Johnson, Edward R. Smith, James P. Ewen, Peter J. Daivis, Daniele Dini, B. D. Todd
https://arxiv.org/abs/2509.20944

The influence of boundary conditions and interfacial slip on the time taken to achieve a nonequilibrium steady-state for highly confined flows
We investigate the equilibration time to attain steady-state for a system of liquid molecules under boundary-driven planar Couette flow via nonequilibrium molecular dynamics (NEMD) simulation. In particular, we examine the equilibration time for the two common types of boundary driven flow: one in which both walls slide with equal and opposite velocity, and the other in which one wall is fixed and the other moves with twice the velocity. Both flows give identical steady-state strain rates, and …

$\nu$SpaceSim: A Comprehensive Simulation Package for Modeling the Measurement of Cosmic Neutrinos using the Earth as the Neutrino Target and Space-based Detectors
Mary Hall Reno (for the nuSpaceSim Collaboration), John F. Krizmanic (for the nuSpaceSim Collaboration)
https://arxiv.org/abs/2509.15469

$ν$SpaceSim: A Comprehensive Simulation Package for Modeling the Measurement of Cosmic Neutrinos using the Earth as the Neutrino Target and Space-based Detectors
$ν$SpaceSim is a highly-efficient (e.g., fast) module-based, end-to-end simulation package that models the physical processes of cosmic neutrino interactions that leads to detectable signals for sub-orbital and space-based instruments. Starting with an input flux of neutrinos incident on a user-specified geometry in the Earth, the flux of Earth-emergent leptons are calculated followed by their subsequent extensive air showers (EAS). Next, the EAS optical Cherenkov and radio emission, signal at…

Technical Aspects of Plasma Operational Simulation (POPSIM): A Framework for Data-Driven Simulation and Control
Allen M. Wang, Zander Keith, Mark Dan Boyer, Andrew Oakleigh Nelson, Alex Saperstein, Alessandro Pau, Cristina Rea
https://arxiv.org/abs/2509.10244

Technical Aspects of Plasma Operational Simulation (POPSIM): A Framework for Data-Driven Simulation and Control
This paper reports on technical aspects of Plasma Operational Simulation (POPSIM), a research framework for data-driven simulation and control built in the machine learning framework JAX. The objective of the project is to address the extremely challenging simulation and modeling requirements of tokamak operations and control by combining simple principles-based models with data-driven models, spanning everything from power laws to new neural network architectures. This paper reports on key sof…

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
Mohamed Manzour, Catherine M. Elias, Omar M. Shehata, Rub\'en Izquierdo, Miguel \'Angel Sotelo
https://arxiv.org/abs/2509.20218

Design Insights and Comparative Evaluation of a Hardware-Based Cooperative Perception Architecture for Lane Change Prediction
Research on lane change prediction has gained attention in the last few years. Most existing works in this area have been conducted in simulation environments or with pre-recorded datasets, these works often rely on simplified assumptions about sensing, communication, and traffic behavior that do not always hold in practice. Real-world deployments of lane-change prediction systems are relatively rare, and when they are reported, the practical challenges, limitations, and lessons learned are oft…

A Comparison of Low and high-Order Methods for the Simulation of Supersonic Jet Flows
D. F. Abreu, C. Junqueira-Junior, E. T. V. Dauricio, J. L. F. Azevedo
https://arxiv.org/abs/2509.17725

A Comparison of Low and high-Order Methods for the Simulation of Supersonic Jet Flows
The present work compares results for different numerical methods in search of alternatives to improve the quality of large-eddy simulations for the problem of supersonic turbulent jet flows. Previous work has analyzed supersonic jet flows using a second-order, finite difference solver based on structured meshes, and the results indicated a shorter potential core of the jet and different levels of velocity fluctuations. In the present work, the results of previous simulations are compared to ne…

Parse-Augment-Distill: Learning Generalizable Bimanual Visuomotor Policies from Single Human Video
Georgios Tziafas, Jiayun Zhang, Hamidreza Kasaei
https://arxiv.org/abs/2509.20286

Parse-Augment-Distill: Learning Generalizable Bimanual Visuomotor Policies from Single Human Video
Learning visuomotor policies from expert demonstrations is an important frontier in modern robotics research, however, most popular methods require copious efforts for collecting teleoperation data and struggle to generalize out-ofdistribution. Scaling data collection has been explored through leveraging human videos, as well as demonstration augmentation techniques. The latter approach typically requires expensive simulation rollouts and trains policies with synthetic image data, therefore int…

End-to-End Complexity Analysis for Quantum Simulation of the Extended Jaynes-Cummings Models
Nam Nguyen, Michael Yu, Alan Robertson, Hiromichi Nishimura, Samuel J. Elman, Benjamin Koltenbah
https://arxiv.org/abs/2509.13546

End-to-End Complexity Analysis for Quantum Simulation of the Extended Jaynes-Cummings Models
The extended Jaynes-Cummings model (eJCM) is a foundational framework for describing multi-mode light-matter interactions, with direct applications in quantum technologies such as photon addition and quasi-noiseless amplification. However, the model's complexity makes classical simulation intractable for large systems that could be of practical interest. In this work, we present a comprehensive, end-to-end framework for the quantum simulation of the eJCM. We develop explicit quantum algorithms …

TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies
Liquan Wang, Jiangjie Bian, Eric Heiden, Animesh Garg
https://arxiv.org/abs/2509.19712

TopoCut: Learning Multi-Step Cutting with Spectral Rewards and Discrete Diffusion Policies
Robotic manipulation tasks involving cutting deformable objects remain challenging due to complex topological behaviors, difficulties in perceiving dense object states, and the lack of efficient evaluation methods for cutting outcomes. In this paper, we introduce TopoCut, a comprehensive benchmark for multi-step robotic cutting tasks that integrates a cutting environment and generalized policy learning. TopoCut is built upon three core components: (1) We introduce a high-fidelity simulation env…

HARLI CQUINN: Higher Adjusted Randomness with Linear In Complexity QUantum INspired Networks for K-Means
Jiten Oswal, Saumya Biswas
https://arxiv.org/abs/2509.19395 https://

HARLI CQUINN: Higher Adjusted Randomness with Linear In Complexity QUantum INspired Networks for K-Means
We contrast a minimalistic implementation of quantum k-means algorithm to classical k-means algorithm. With classical simulation results, we demonstrate a quantum performance, on and above par, with the classical k-means algorithm. We present benchmarks of its accuracy for test cases of both well-known and experimental datasets. Despite extensive research into quantum k-means algorithms, our approach reveals previously unexplored methodological improvements. The encoding step can be minimalisti…

Replaced article(s) found for quant-ph. https://arxiv.org/list/quant-ph/new
[2/2]:
- Efficient Preparation of Resource States for Hamiltonian Simulation and Universal Quantum Computa...
Thierry N. Kaldenbach, Isaac D. Smith, Hendrik Poulsen Nautrup, Matthias Heller, Hans J. Briegel
…