Tootfinder

Noch einige der zuletzt hier besonders häufig geteilten #News:
Web-Tipps: Stau verstehen
https://www.heise.de/news/Web-Tip…

Simulation-based Inference via Langevin Dynamics with Score Matching
Haoyu Jiang, Yuexi Wang, Yun Yang
https://arxiv.org/abs/2509.03853 https://arxiv.org/p…

Simulation-based Inference via Langevin Dynamics with Score Matching
Simulation-based inference (SBI) enables Bayesian analysis when the likelihood is intractable but model simulations are available. Recent advances in statistics and machine learning, including Approximate Bayesian Computation and deep generative models, have expanded the applicability of SBI, yet these methods often face challenges in moderate to high-dimensional parameter spaces. Motivated by the success of gradient-based Monte Carlo methods in Bayesian sampling, we propose a novel SBI method …

Are LLM Agents Behaviorally Coherent? Latent Profiles for Social Simulation
James Mooney, Josef Woldense, Zheng Robert Jia, Shirley Anugrah Hayati, My Ha Nguyen, Vipul Raheja, Dongyeop Kang
https://arxiv.org/abs/2509.03736

Are LLM Agents Behaviorally Coherent? Latent Profiles for Social Simulation
The impressive capabilities of Large Language Models (LLMs) have fueled the notion that synthetic agents can serve as substitutes for real participants in human-subject research. In an effort to evaluate the merits of this claim, social science researchers have largely focused on whether LLM-generated survey data corresponds to that of a human counterpart whom the LLM is prompted to represent. In contrast, we address a more fundamental question: Do agents maintain internal consistency, retainin…

Monte Carlo simulation of random circuit sampling in quantum computing
Andreas Raab
https://arxiv.org/abs/2509.04401 https://arxiv.org/pdf/2509.04401

Monte Carlo simulation of random circuit sampling in quantum computing
We develop Monte Carlo methods for sampling random states and corresponding bit strings in qubit systems. To this end, we derive exact probability density functions that yield the Porter-Thomas distribution in the limit of large systems. We apply these functions in importance sampling algorithms and demonstrate efficiency for qubit systems with 70, 105, 1000, and more than one million ($2^{20}$) qubits. In particular, we simulate the output of recent quantum computations without noise on a PC w…

The Thirteenth Floor (1999) was a great concept but the execution (the acting and dialogue) weren't the greatest - and this is coming from me, who watches and doesn't mind a lot of B movies. This one could really do with a modern remake. Simulation etc type stuff. I can just imagine this remade now, but so much better 😂
https://boxd.it/294Y<…

The Thirteenth Floor (1999)
In Los Angeles, a wealthy man, known as Mr. Fuller, discovers a shocking secret about the world he lives in. Fearing for his life, he leaves a desperate message for a friend of his in the most unexpected place.

Should be a yellow for simulation. Maresca looks like a clown for arguing it and gets a card. And, predictably, Taylor has lost control of the game.
#LFC

Simulation of Lateral Impulse Induced Inertial Dilation at the Surface of a Vacuum-Exposed Granular Assembly
Eric Frizzell, Christine Hartzell
https://arxiv.org/abs/2509.04074 h…

Simulation of Lateral Impulse Induced Inertial Dilation at the Surface of a Vacuum-Exposed Granular Assembly
We demonstrate for the first time that a lateral impulse experienced by a granular channel can induce an inertial bulk dilation over long distances across a granular medium with a mechanically free surface. The surface dilation requires zero overburden pressure (exposure to vacuum) and is precipitated by the passing of waves traveling barely above the sound speed (> Mach 1.05). We simulate this phenomenon using open source Soft Sphere Discrete Element Method (SSDEM) software. We prepare channel…

„News Tower“ angespielt: So frisch, dass man die Tinte riechen kann
Werft die Druckmaschinen an! Sparrow Night liefert mit der Zeitungs-Sim „News Tower“ eines der originellsten und besten Management-Spiele des Jahres ab.

Thermodynamically consistent modelling and simulation of two-fluid magnetohydrodynamic equations
Ting Xiao, Qiaolin He
https://arxiv.org/abs/2509.03520 https://

Thermodynamically consistent modelling and simulation of two-fluid magnetohydrodynamic equations
In this paper, we proposes a thermodynamically consistent two-fluid magnetohydrodynamic model based on the Helmholtz free energy framework, which strictly satisfies both the principles of energy conservation and entropy increase in the two-fluid model. By constructing the convexe-concave characteristics of the free energy density (convexity with respect to plasma number density and concavity with respect to temperature), the model self-consistently derives key thermodynamic quantities such as c…

Dynamical simulation of chiral induced spin-polarization and magnetization
Peng-Yi Liu, Tian-Yi Zhang, Qing-Feng Sun
https://arxiv.org/abs/2509.04019 https://

Dynamical simulation of chiral induced spin-polarization and magnetization
Despite generally lacking ferromagnetic properties or strong spin-orbit coupling, electrons in chiral molecules exhibit unique spin-dependent transport behavior, known as chiral-induced spin selectivity (CISS). This phenomenon implies a profound connection between chirality and spin, and draws attention to the link between chirality and magnetism. Experiments in recent years have shown that chirality can induce spin-polarizations and magnetizations, providing fresh insights into interpreting ch…

CGSim: A Simulation Framework for Large Scale Distributed Computing Environment
Sairam Sri Vatsavai, Raees Khan, Kuan-Chieh Hsu, Ozgur O. Kilic, Paul Nilsson, Tatiana Korchuganova, David K. Park, Sankha Dutta, Yihui Ren, Joseph Boudreau, Tasnuva Chowdhury, Shengyu Feng, Jaehyung Kim, Scott Klasky, Tadashi Maeno, Verena Ingrid Martinez, Norbert Podhorszki, Fr\'ed\'eric Suter, Wei Yang, Yiming Yang, Shinjae Yoo, Alexei Klimentov, Adolfy Hoisie

CGSim: A Simulation Framework for Large Scale Distributed Computing Environment
Large-scale distributed computing infrastructures such as the Worldwide LHC Computing Grid (WLCG) require comprehensive simulation tools for evaluating performance, testing new algorithms, and optimizing resource allocation strategies. However, existing simulators suffer from limited scalability, hardwired algorithms, lack of real-time monitoring, and inability to generate datasets suitable for modern machine learning approaches. We present CGSim, a simulation framework for large-scale distribu…

M&SCheck: Towards a Checklist to Support Software Engineering Newcomers to the Modeling and Simulation Area
Luiza Martins de Freitas Cintra, Philipp Zech, Mohamad Kassab, Eliomar Ara\'ujo Lima, Sofia Larissa da Costa Paiva, Valdemar Vicente Graciano Neto
https://arxiv.org/abs/2509.25625

M&SCheck: Towards a Checklist to Support Software Engineering Newcomers to the Modeling and Simulation Area
The advent of increasingly complex and dynamic ecosystems, such as digital twins (DT), smart cities and Industry 4.0 and 5.0, has made evident the need to include modeling and simulation (M&S) in the software development life cycle. Such disruptive systems include simulation models in their own architecture (such as DT) or require the use of simulation models to represent the high degree of movement and the multiplicity of interactions that occur between the involved systems. However, when soft…

NFL longshot picks, Week 1 2025 odds, best props: This parlay would return over $4,000 on a $10 bet

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

Vinci, which uses AI simulations to accelerate chip and other hardware design, raised a $36M Series A led by Xora Innovation, taking its total funding to $46M (Max A. Cherney/Reuters)
https://www.reuters.com/business/software-

PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization
Zixing Lei, Zibo Zhou, Sheng Yin, Yueru Chen, Qingyao Xu, Weixin Li, Yunhong Wang, Bowei Tang, Wei Jing, Siheng Chen
https://arxiv.org/abs/2510.01708

PolySim: Bridging the Sim-to-Real Gap for Humanoid Control via Multi-Simulator Dynamics Randomization
Humanoid whole-body control (WBC) policies trained in simulation often suffer from the sim-to-real gap, which fundamentally arises from simulator inductive bias, the inherent assumptions and limitations of any single simulator. These biases lead to nontrivial discrepancies both across simulators and between simulation and the real world. To mitigate the effect of simulator inductive bias, the key idea is to train policies jointly across multiple simulators, encouraging the learned controller to…

Mathematical Proof Debunks the Idea That the Universe Is a Computer Simulation - Slashdot
https://science.slashdot.org/story/25/10/30/2232258/mathematical-proof-debunks-the-idea-that-the-universe-is-a-computer-simulation

Enceladus Water Plume Modeling Using DSMC (i.e. Direct Simulation Monte Carlo): #Enceladus shoots less ice into space than previous estimates: https://tacc.utexas.edu/news/latest-news/2025/09/30/out-of-this-world-ice-geysers/

An invertible generative model for forward and inverse problems
Tristan van Leeuwen, Christoph Brune, Marcello Carioni
https://arxiv.org/abs/2509.03910 https://

An invertible generative model for forward and inverse problems
We formulate the inverse problem in a Bayesian framework and aim to train a generative model that allows us to simulate (i.e., sample from the likelihood) and do inference (i.e., sample from the posterior). We review the use of triangular normalizing flows for conditional sampling in this context and show how to combine two such triangular maps (an upper and a lower one) in to one invertible mapping that can be used for simulation and inference. We work out several useful properties of this inv…

RealClass: A Framework for Classroom Speech Simulation with Public Datasets and Game Engines
Ahmed Adel Attia, Jing Liu, Carol Espy Wilson
https://arxiv.org/abs/2510.01462 https…

RealClass: A Framework for Classroom Speech Simulation with Public Datasets and Game Engines
The scarcity of large-scale classroom speech data has hindered the development of AI-driven speech models for education. Classroom datasets remain limited and not publicly available, and the absence of dedicated classroom noise or Room Impulse Response (RIR) corpora prevents the use of standard data augmentation techniques. In this paper, we introduce a scalable methodology for synthesizing classroom noise and RIRs using game engines, a versatile framework that can extend to other domains bey…

Digital quantum simulation of many-body localization crossover in a disordered kicked Ising model
Tomoya Hayata, Kazuhiro Seki, Seiji Yunoki
https://arxiv.org/abs/2510.01983 htt…

Digital quantum simulation of many-body localization crossover in a disordered kicked Ising model
Simulating nonequilibrium dynamics of quantum many-body systems is one of the most promising applications of quantum computers. However, a faithful digital quantum simulation of the Hamiltonian evolution is very challenging in the present noisy quantum devices. Instead, nonequilibrium dynamics under the Floquet evolution realized by the Trotter decomposition of the Hamiltonian evolution with a large Trotter step size is considered to be a suitable problem for simulating in the present or near-t…

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.

Disentangling Vortex-driven Dynamics in the Solar Atmosphere Using Information Theory
Suzana S. A. Silva, Erico Rempel, Gary Verth, Istvan Ballai, Viktor Fedun
https://arxiv.org/abs/2509.04329

Disentangling Vortex-driven Dynamics in the Solar Atmosphere Using Information Theory
Solar tornadoes are believed to influence plasma dynamics and create conditions for heating, yet a direct quantitative link is lacking. Here, for the first time, we directly measure vortex-driven dynamics using information-theoretic diagnostics in a Bifrost simulation. By combining Shannon Entropy (SE) and Normalized Mutual Information (NMI), we track how vortices restructure plasma-magnetic interactions and channel energy into heat. The vortex flow originates in the upper photosphere and exten…

A new Timestep Criterion for the Simulation of Immiscible Two-Phase Flow with IMPES Solvers
Dominik Burr, Stefan Rief, Konrad Steiner
https://arxiv.org/abs/2510.00577 https://…

A new Timestep Criterion for the Simulation of Immiscible Two-Phase Flow with IMPES Solvers
We present an iterative IMPES solver and a novel timestep criterion for the simulation of immiscible two-phase flow involving compressible fluid phases. The novel timestep criterion uses the Courant-Friedrichs-Lewy (CFL) condition and employs numerically computed velocity derivatives to adapt the timestep size, regardless of the dominant flow characteristics. The solver combined with this timestep criterion demonstrates both efficiency and robustness across a range of flow scenarios, including …

Reducing Simulation Dependence in Neutrino Telescopes with Masked Point Transformers
Felix J. Yu, Nicholas Kamp, Carlos A. Arg\"uelles
https://arxiv.org/abs/2510.01733 http…

Reducing Simulation Dependence in Neutrino Telescopes with Masked Point Transformers
Machine learning techniques in neutrino physics have traditionally relied on simulated data, which provides access to ground-truth labels. However, the accuracy of these simulations and the discrepancies between simulated and real data remain significant concerns, particularly for large-scale neutrino telescopes that operate in complex natural media. In recent years, self-supervised learning has emerged as a powerful paradigm for reducing dependence on labeled datasets. Here, we present the fir…

Forced silo discharge: Simulation and theory
Luis. A. Pugnaloni, Marcos A. Madrid, J. R. Darias
https://arxiv.org/abs/2509.04368 https://arxiv.org/pdf/2509…

Forced silo discharge: Simulation and theory
We study, through discrete element simulations, the discharge of granular materials through a circular orifice on the base of a cylindrical silo forced by a surcharge. At the beginning of the discharge, for a high granular column, the flow rate $Q_{\rm ini}$ scales as in the Beverloo equation for free discharge. However, we find that the flow rate $Q_{\rm end}$ attained at the end of the forced discharge scales as $\sqrt{ρ_b P}D_o^3/D_s$, with $ρ_b$ the bulk density, $P$ the pressure applied …

Crosslisted article(s) found for math.NA. https://arxiv.org/list/math.NA/new
[1/1]:
- Thermodynamically consistent modelling and simulation of two-fluid magnetohydrodynamic equations
Ting Xiao, Qiaolin He

How two-dimensional are planet--disc interactions? I. Locally isothermal discs
Amelia J. Cordwell, Alexandros Ziampras, Joshua J. Brown, Roman R. Rafikov
https://arxiv.org/abs/2509.04282

How two-dimensional are planet--disc interactions? I. Locally isothermal discs
Planet--disc interactions, despite being fundamentally three-dimensional, are often studied in the two-dimensional `thin-disk' approximation. The overall morphology of planet--disc interactions has ben shown to be similar in both 2D and 3D simulations, however, the ability of a 2D simulation to quantitatively match 3D results depends strongly on how the potential of the planet is handled. Typically, the 2D planetary potential is smoothed out using some `smoothing length', a free parameter, for …

SimCity: Multi-Agent Urban Development Simulation with Rich Interactions
Yeqi Feng, Yucheng Lu, Hongyu Su, Tianxing He
https://arxiv.org/abs/2510.01297 https://

SimCity: Multi-Agent Urban Development Simulation with Rich Interactions
Large Language Models (LLMs) open new possibilities for constructing realistic and interpretable macroeconomic simulations. We present SimCity, a multi-agent framework that leverages LLMs to model an interpretable macroeconomic system with heterogeneous agents and rich interactions. Unlike classical equilibrium models that limit heterogeneity for tractability, or traditional agent-based models (ABMs) that rely on hand-crafted decision rules, SimCity enables flexible, adaptive behavior with tran…

Deciphering galaxy images using machine vision
Samuel Howie, Ting-Yun Cheng, Carlton M. Baugh
https://arxiv.org/abs/2509.03640 https://arxiv.org/pdf/2509.0…

Deciphering galaxy images using machine vision
We present a machine vision approach to quantify galaxy structure combining a variational autoencoder (VAE) framework with principal component analysis (PCA). Using mock gri-band images from the EAGLE simulation, the VAE finds that 35 features are needed to describe images. Adding the PCA, we identify an optimal range of 10-12 features needed to capture 99.9 per cent of the variance in galaxy morphology. The exact optimal number varies with galaxy complexity: disk-dominated galaxies require 12 …

Pressure dependence of magnetron sputtering: 2D-RZ particle-in-cell and 1D fluid modeling
Joseph G. Theis (University of Colorado Boulder), Gregory R. Werner (University of Colorado Boulder), Thomas G. Jenkins (Silvaco Inc), Daniel Main (Silvaco Inc), John R. Cary (University of Colorado Boulder, Silvaco Inc)
https://arxiv.org/abs/2509.036…

Pressure dependence of magnetron sputtering: 2D-RZ particle-in-cell and 1D fluid modeling
We reproduce the consistently-seen experimental voltage versus pressure (V-P) dependence of DC magnetron sputtering (DCMS) with 2D-RZ particle-in-cell (PIC) simulation. Informed by PIC simulation, we develop a steady-state, 1D-axial fluid model of the sheath and presheath that also reproduces this V-P dependence. The V-P dependence is the relationship between the steady-state voltage needed to maintain a constant discharge current and the neutral gas pressure. V-P dependence is fundamental to d…

Massively-Parallel Implementation of Inextensible Elastic Rods Using Inter-block GPU Synchronization
Przemyslaw Korzeniowski, Niels Hald, Fernando Bello
https://arxiv.org/abs/2509.04277

Massively-Parallel Implementation of Inextensible Elastic Rods Using Inter-block GPU Synchronization
An elastic rod is a long and thin body able to sustain large global deformations, even if local strains are small. The Cosserat rod is a non-linear elastic rod with an oriented centreline, which enables modelling of bending, stretching and twisting deformations. It can be used for physically-based computer simulation of threads, wires, ropes, as well as flexible surgical instruments such as catheters, guidewires or sutures. We present a massively-parallel implementation of the original CoRdE mo…

(PhD thesis, 2024) Prototyping phosphene vision: Simulation-based optimization of visual neuroprosthetics using deep learning #BCI

Looking for a edutainment MS-DOS game that teaches you cybernetics (systems thinking) with a (iirc) an economics and environment simulation. It must have been from the late 1980s or early 90s and I think it used EGA graphics. It may have been in German.
Rings a bell what game it is?
Update: found it! It’s called Ökolopoly #retrogaming #retrocomputing #cybernetics #kybernetik

Learning Multi-Stage Pick-and-Place with a Legged Mobile Manipulator
Haichao Zhang, Haonan Yu, Le Zhao, Andrew Choi, Qinxun Bai, Yiqing Yang, Wei Xu
https://arxiv.org/abs/2509.03859

Learning Multi-Stage Pick-and-Place with a Legged Mobile Manipulator
Quadruped-based mobile manipulation presents significant challenges in robotics due to the diversity of required skills, the extended task horizon, and partial observability. After presenting a multi-stage pick-and-place task as a succinct yet sufficiently rich setup that captures key desiderata for quadruped-based mobile manipulation, we propose an approach that can train a visuo-motor policy entirely in simulation, and achieve nearly 80\% success in the real world. The policy efficiently perf…

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…

Design and Evaluation of CZT-based Micro-activity Dose Calibrator for TAT Application using Monte Carlo Simulation
Seoyun Jang, Robin Peter, Biswajit Das, Youngho Seo, Gyuseong Cho
https://arxiv.org/abs/2509.26266

Design and Evaluation of CZT-based Micro-activity Dose Calibrator for TAT Application using Monte Carlo Simulation
A novel CZT-based micro-activity dose calibrator has been designed via Monte Carlo simulation (GATE) to accurately measure low-level activity 225Ac for targeted alpha therapy (TAT) application. Because even small overdoses in TAT can induce severe local toxicity, activities in the microcurie down to nanocurie regime are often required, and accurate activity measurement by dose calibrators is a priori to safe and effective treatment. Standard dose calibrators, or high-pressurized gas-filled ioni…

TBPLaS 2.0: a Tight-Binding Package for Large-scale Simulation
Yunhai Li, Zewen Wu, Miao Zhang, Junyi Wang, Shengjun Yuan
https://arxiv.org/abs/2509.26309 https://

TBPLaS 2.0: a Tight-Binding Package for Large-scale Simulation
We introduce version 2.0 of TBPLaS, a package for large-scale simulation based on the tight-binding propagation method (TBPM). This new version brings significant improvements with many new features. Existing Python/Cython modeling tools have been thoroughly optimized, and a compatible C++ implementation of the modeling tools is now available, offering efficiency enhancement of several orders. The solvers have been rewritten in C++ from scratch, with the efficiency enhanced by several times or …

Quantum simulation of nuclear shell model: bridging theory and hardware limitations
Chandan Sarma, Paul Stevenson
https://arxiv.org/abs/2510.02124 https://…

Quantum simulation of nuclear shell model: bridging theory and hardware limitations
In this work, we introduce a new qubit mapping strategy for the Variational Quantum Eigensolver (VQE) applied to nuclear shell model calculations, where each Slater determinant (SD) is mapped to a qubit, rather than assigning qubits to individual single-particle states. While this approach may increase the total number of qubits required in some cases, it enables the construction of simpler quantum circuits that are more compatible with current noisy intermediate-scale quantum (NISQ) devices. W…

Universal Numerical Simulation Model for Laser Material Processing
Andreas Otto, Michele Buttazzoni, Carlos Dur\'an, Tobias Florian, Constantin Zenz
https://arxiv.org/abs/2509.22666

Universal Numerical Simulation Model for Laser Material Processing
High power lasers are used for a variety of manufacturing processes on time and length scales that cover many orders of magnitude and on different materials. The variety of processes achievable through laser-material interaction results from numerous coupled, nonlinear physical phenomena. Simulation models can be used to gain process understanding, explain experimentally observed phenomena, and optimize or design processes. However, the inherent complexity and diversity of the phenomena make mo…

TopoSPAM: Topology grounded Simulation Platform for morphogenesis and biological Active Matter
Abhinav Singh (Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany, Center for Systems Biology Dresden, Dresden, Germany, School of Engineering and Applied Sciences, Harvard University, Cambridge, MA, USA), Abhijeet Krishna (Max Planck Institute of Molecular Cell Biology and Genetics, Dresden, Germany, Center for Systems Biology Dresden, Dresden, Germany), Aboutaleb …

TopoSPAM: Topology grounded Simulation Platform for morphogenesis and biological Active Matter
We present a topology grounded, multiscale simulation platform for morphogenesis and biological active matter. Morphogenesis and biological active matter represent keystone problems in biology with additional, far-reaching implications across the biomedical sciences. Addressing these problems will require flexible, cross-scale models of tissue shape, development, and dysfunction that can be tuned to understand, model, and predict relevant individual cases. Current approaches to simulating anato…

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…

Benchmarking Quantum Simulation Methods
Calvin Ku, Yu-Cheng Chen, Alice Hu, Min-Hsiu Hsieh
https://arxiv.org/abs/2510.01710 https://arxiv.org/pdf/2510.0171…

Benchmarking Quantum Simulation Methods
Quantum Phase Estimation (QPE) is a cornerstone algorithm for fault-tolerant quantum computation, especially for electronic structure calculations of chemical systems. To accommodate the diverse characteristics of quantum chemical systems, numerous variants of QPE have been developed, each with distinct qubit and gate cost implications. In this paper, we quantify the impact of three key parameters on the overall quantum resource costs for the QPE algorithm: the choice between trotterization and…

The detection of high X-ray polarization from an accretion disc corona source and its modelling via Monte Carlo radiation transfer simulation
Ryota Tomaru, Chris Done, Hirokazu Odaka
https://arxiv.org/abs/2509.26147

The detection of high X-ray polarization from an accretion disc corona source and its modelling via Monte Carlo radiation transfer simulation
We report an X-ray polarization degree (PD) of $8.8\pm1.4\%~(1σ)$ from the accretion-disc-corona (ADC) neutron-star system 2S 0921-630 (=V395 Car) observed with the Imaging X-ray Polarimetry Explorer (IXPE). The PD increases with energy, while the polarization angle (PA) varies significantly across the band. These trends are consistent with a high-inclination ADC geometry where the vertically extended disc blocks direct sight of the central X-ray source, and the observed X-rays are those scatt…

Performance Evaluation of eLoran Spatial ASF Corrections Based on Measured ASF Map
Jaewon Yu, Pyo-Woong Son
https://arxiv.org/abs/2509.26018 https://arxiv.…

Performance Evaluation of eLoran Spatial ASF Corrections Based on Measured ASF Map
This paper analyzes the effectiveness of spatial ASF correction methods in the Korean eLoran system using measured ASF maps. Three correction scenarios were evaluated under identical simulation settings: no correction (S0), local correction using true ASF values (S1), and wide-area correction using a single reference station value (S2). Simulation results show that S1 consistently achieved the lowest positioning errors, while S0 exhibited the largest errors with extensive high-error regions. S2…

TeraAgent: A Distributed Agent-Based Simulation Engine for Simulating Half a Trillion Agents
Lukas Breitwieser, Ahmad Hesam, Abdullah Giray Ya\u{g}l{\i}k\c{c}{\i}, Mohammad Sadrosadati, Fons Rademakers, Onur Mutlu
https://arxiv.org/abs/2509.24063

TeraAgent: A Distributed Agent-Based Simulation Engine for Simulating Half a Trillion Agents
Agent-based simulation is an indispensable paradigm for studying complex systems. These systems can comprise billions of agents, requiring the computing resources of multiple servers to simulate. Unfortunately, the state-of-the-art platform, BioDynaMo, does not scale out across servers due to its shared-memory-based implementation. To overcome this key limitation, we introduce TeraAgent, a distributed agent-based simulation engine. A critical challenge in distributed execution is the exchange…

Leveraging modal structure similarity for simulation of spatially evolving wakes
Divyanshu Gola, Sutanu Sarkar
https://arxiv.org/abs/2509.24925 https://arx…

Leveraging modal structure similarity for simulation of spatially evolving wakes
We present a new methodology to enable efficient simulation of high Reynolds number wakes. In this approach, a body-exclusive hybrid simulation at Re = 5 x 10^4 is initialized using inflow fields reconstructed from a lower Reynolds number (Re = 5 x 10^3) body-inclusive simulation. Spectral Proper Orthogonal Decomposition (SPOD) is employed to identify dominant coherent structures, and a low-rank reconstruction generates physically meaningful inflow conditions. The resulting simulations accurate…

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://

Machine-learning-enabled methodology for the ab-initio simulations of sub-$\mu$m-wide nanoribbons
Guan-Hao Peng, Chin-Jui Huang, Wen-Teng Yang, Shun-Jen Cheng
https://arxiv.org/abs/2510.01802

Machine-learning-enabled methodology for the ab-initio simulations of sub-$μ$m-wide nanoribbons
Simulation of mesoscopic nanostructures is a central challenge in condensed matter physics and device applications. First-principles methods provide accurate electronic structures but are computationally prohibitive for large systems, while empirical band theories are efficient yet limited by parameter fitting that neglects wavefunction information and often yields non-transferable parameters. We propose a methodology that bridges these approaches, achieving first-principles-level reliability w…

Social Welfare Function Leaderboard: When LLM Agents Allocate Social Welfare
Zhengliang Shi, Ruotian Ma, Jen-tse Huang, Xinbei Ma, Xingyu Chen, Mengru Wang, Qu Yang, Yue Wang, Fanghua Ye, Ziyang Chen, Shanyi Wang, Cixing Li, Wenxuan Wang, Zhaopeng Tu, Xiaolong Li, Zhaochun Ren, Linus
https://arxiv.org/abs/2510.01164

Social Welfare Function Leaderboard: When LLM Agents Allocate Social Welfare
Large language models (LLMs) are increasingly entrusted with high-stakes decisions that affect human welfare. However, the principles and values that guide these models when distributing scarce societal resources remain largely unexamined. To address this, we introduce the Social Welfare Function (SWF) Benchmark, a dynamic simulation environment where an LLM acts as a sovereign allocator, distributing tasks to a heterogeneous community of recipients. The benchmark is designed to create a persis…

Scalar-induced gravitational waves including isocurvature perturbations with lattice simulations
Xiang-Xi Zeng
https://arxiv.org/abs/2510.02106 https://arx…

Scalar-induced gravitational waves including isocurvature perturbations with lattice simulations
Scalar-induced gravitational waves (SIGWs) open a unique window into early-universe physics. While their generation from adiabatic perturbations has been extensively studied, the contribution from isocurvature perturbations remains poorly understood. In this work, we develop a lattice simulation framework to compute the stochastic gravitational wave background from both pure isocurvature and mixed initial conditions. Our numerical results show excellent agreement with semi-analytical prediction…

Flow Matching for Robust Simulation-Based Inference under Model Misspecification
Pierre-Louis Ruhlmann, Pedro L. C. Rodrigues, Michael Arbel, Florence Forbes
https://arxiv.org/abs/2509.23385

Flow Matching for Robust Simulation-Based Inference under Model Misspecification
Simulation-based inference (SBI) is transforming experimental sciences by enabling parameter estimation in complex non-linear models from simulated data. A persistent challenge, however, is model misspecification: simulators are only approximations of reality, and mismatches between simulated and real data can yield biased or overconfident posteriors. We address this issue by introducing Flow Matching Corrected Posterior Estimation (FMCPE), a framework that leverages the flow matching paradigm …

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…

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…

Crosslisted article(s) found for astro-ph.IM. https://arxiv.org/list/astro-ph.IM/new
[1/1]:
- Reducing Simulation Dependence in Neutrino Telescopes with Masked Point Transformers
Felix J. Yu, Nicholas Kamp, Carlos A. Arg\"uelles

Simulation of Transcatheter Therapies for Atrioventricular Valve Regurgitation in an Open-Source Finite Element Simulation Framework
Seda Aslan, Nicolas R. Mangine, Devin W. Laurence, Patricia M. Sabin, Wensi Wu, Christian Herz, Justin S. Unger, Steve A. Maas, Matthew J. Gillespie, Jeffrey A. Weiss, Matthew A. Jolley
https://arxiv.org/abs/…

Simulation of Transcatheter Therapies for Atrioventricular Valve Regurgitation in an Open-Source Finite Element Simulation Framework
Purpose: Transcatheter edge-to-edge repair (TEER) and annuloplasty devices are increasingly used to treat mitral valve regurgitation, yet their mechanical effects and interactions remain poorly understood. This study aimed to establish an open-source finite element modeling (FEM) framework for simulating patient-specific mitral valve repairs and to evaluate how TEER, annuloplasty, and combined strategies influence leaflet coaptation and valve mechanics. Methods: Four G4 MitraClip geometries wer…

Simulating Student Success in the Age of GenAI: A Kantian-Axiomatic Perspective
Seyma Yaman Kayadibi
https://arxiv.org/abs/2510.00091 https://arxiv.org/pdf…

Simulating Student Success in the Age of GenAI: A Kantian-Axiomatic Perspective
This study reinterprets a Monte Carlo simulation of students' perceived success with generative AI (GenAI) through a Kantian-axiomatic lens. Building on prior work, theme-level survey statistics Ease of Use and Learnability, System Efficiency and Learning Burden, and Perceived Complexity and Integration from a representative dataset are used to generate 10,000 synthetic scores per theme on the [1,5] Likert scale. The simulated outputs are evaluated against the axioms of dense linear order witho…

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…

An Agent-Based Simulation of Ageing Societies: Accessibility and Care Dynamics in Remote Areas
Roberto garrone
https://arxiv.org/abs/2509.26496 https://arx…

An Agent-Based Simulation of Ageing Societies: Accessibility and Care Dynamics in Remote Areas
This paper presents an agent-based simulation of accessibility and care dynamics in ageing societies, applied to the Italian inner area of Premeno (VB). The model integrates census and municipal data, drone-derived elevation models, GIS road networks, and survey-based caregiving information to generate synthetic populations of older adults and their caregivers. Agents are organized into dyads with socio-economic and mobility attributes, enabling the simulation of both micro-scale accessibility …

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…

Today I did day 1 of #AdventOfCode, and obviously missed the small trap hidden in the second part. Solved the first part with math and the second part with ... let's say a simulation (which sounds smarter than brute force clicking through all positions because I'm to dumb to figure out my Lattenzaunproblem...)

Real-Time Buoyancy Estimation for AUV Simulations Using Convex Hull-Based Submerged Volume Calculation
Ad-Deen Mahbub, Md Ragib Shaharear
https://arxiv.org/abs/2509.03804 https:…

Real-Time Buoyancy Estimation for AUV Simulations Using Convex Hull-Based Submerged Volume Calculation
Accurate real-time buoyancy modeling is essential for high-fidelity Autonomous Underwater Vehicle (AUV) simulations, yet NVIDIA Isaac Sim lacks a native buoyancy system, requiring external solutions for precise underwater physics. This paper presents a novel convex hull-based approach to dynamically compute the submerged volume of an AUV in real time. By extracting mesh geometry from the simulation environment and calculating the hull portion intersecting the water level along the z-axis, our m…

Microscopic Structure of Aqueous Alkylamine mixtures: a Computer Simulation Study
Martina Po\v{z}ar, Lena Friedrich, Bernarda Lovrin\v{c}evi\'c, Michael Paulus, Christian Sternemann, Aur\'elien Perera
https://arxiv.org/abs/2510.02146

Microscopic Structure of Aqueous Alkylamine mixtures: a Computer Simulation Study
Aqueous alkylamine mixtures are studied by computer simulations in order to understand the microscopic origin of the water rich side prominent x-ray scattering pre-peaks reported in a recent study. These pre-peaks are puzzling in view of the apparently contradicting facts that neat amines show pre-peaks much weaker than neat alkanols, while water-rich aqueous alcohols do not. These observations can be intuitively rationalized by noting that the amine head group have two hydrogen atoms when the …

NFL longshot picks, 2025 Week 5 odds, player props: This parlay would bring over a $14,000 return on a $10 bet

https://www.cbssports.com/nfl/news/nfl-longshot-picks-2025-week…

Precision measurement of neutrino oscillation parameters with 10 years of data from the NOvA experiment
The NOvA Collaboration, S. Abubakar, M. A. Acero, B. Acharya, P. Adamson, N. Anfimov, A. Antoshkin, E. Arrieta-Diaz, L. Asquith, A. Aurisano, D. Azevedo, A. Back, N. Balashov, P. Baldi, B. A. Bambah, E. F. Bannister, A. Barros, A. Bat, R. Bernstein, T. J. C. Bezerra, V. Bhatnagar, B. Bhuyan, J. Bian, A. C. Booth, R. Bowles, B. Brahma, C. Bromberg, N. Buchanan, A. Butkevich, S. Calvez…

Precision measurement of neutrino oscillation parameters with 10 years of data from the NOvA experiment
This Letter reports measurements of muon-neutrino disappearance and electron-neutrino appearance and the corresponding antineutrino processes between the two NOvA detectors in the NuMI neutrino beam. These measurements use a dataset with double the neutrino mode beam exposure that was previously analyzed, along with improved simulation and analysis techniques. A joint fit to these samples in the three-flavor paradigm results in the most precise single-experiment constraint on the atmospheric ne…

Consequences of Undecidability in Physics on the #TheoryOfEverything: #universe is a #ComputerSiimulation: https://news.ok.ubc.ca/2025/10/30/ubco-study-debunks-the-idea-that-the-universe-is-a-computer-simulation/ - new study uses logic and physics to definitively answer one of science's biggest questions.

QuLTRA: Quantum hybrid Lumped and TRansmission lines circuits Analyzer
Simona Zaccaria, Antonio Gnudi
https://arxiv.org/abs/2509.03651 https://arxiv.org/pd…

QuLTRA: Quantum hybrid Lumped and TRansmission lines circuits Analyzer
We present QuLTRA (Quantum hybrid Lumped and TRansmission lines circuits Analyzer), an open-source Python package for the accurate simulation of superconducting quantum circuits containing both lumped and distributed elements. QuLTRA directly models coplanar waveguide (CPW) transmission lines and multi-line couplers without discretization into lumped-element equivalents, and extracts the circuit Hamiltonian parameters using the energy participation ratio (EPR) method. This approach enables fast…

Spectral Bootstrap for Non-Parametric Simulation of Multivariate Extreme Events
Nisrine Madhar (UPCit\'e, LPSM), Juliette Legrand (LMBA, UBO), Maud Thomas (LPSM)
https://arxiv.org/abs/2509.26451

Spectral Bootstrap for Non-Parametric Simulation of Multivariate Extreme Events
Inference in extreme value theory relies on a limited number of extreme observations, making estimation challenging. To address this limitation, we propose a non-parametric bootstrap procedure, the multivariate extreme spectral bootstrap procedure, relying on the spectral representation of multivariate generalized Paretodistributed random vectors. Unlike standard bootstrap methods, our approach preserves the joint tail behaviour of the data and generates additional synthetic extreme data, there…

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 …

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…

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.

A Simulation Study on the Cosmic Ray Energy Spectra of Elemental Mass Groups using the Tibet Air Shower and Muon Detector Arrays through the Bayesian Unfolding Method
G. Imaizumi, M. Anzorena, K. Fujita, Y. Katayose, S. Kato, T. Kawashima, K. Kawata, A. Mizuno, M. Ohnishi, R. Garcia, T. Sako, F. Sugimoto, M. Takita, Y. Yokoe
https://arxiv.…

A Simulation Study on the Cosmic Ray Energy Spectra of Elemental Mass Groups using the Tibet Air Shower and Muon Detector Arrays through the Bayesian Unfolding Method
We study the analysis method to determine the cosmic-ray energy spectra of different mass groups assuming the use of the Tibet AS$γ$ experiment, which consists of the high-density Tibet air-shower array (Tibet-AS) and the underground muon detector (MD) array. These arrays measure the sampling air shower size $Σρ$ and the total muon number $ΣN_μ$ of each air shower event. These parameters are known to contain information on the energy and mass of the primary particle. To reconstruct the ene…

Symmetry-preserving random batch Ewald method for constant-potential simulation of electrochemical systems
Weihang Gao, Qi Zhou, Qianru Zhang, Zhenli Xu
https://arxiv.org/abs/2509.24742

Symmetry-preserving random batch Ewald method for constant-potential simulation of electrochemical systems
Constant potential molecular dynamics simulation plays important role for applications of electrochemical systems, yet the calculation of charge fluctuation on electrodes remains a computational bottleneck. We propose a highly scalable, symmetry-preserving random batch Ewald (SRBE) algorithm to address this challenge. The SRBE algorithm deterministically computes the low-frequency components along the direction perpendicular to electrodes, while efficiently approximating the remaining component…

Interdisciplinary Digital Twin Engine InterTwin for calorimeter simulation
Corentin Allaire, Vera Maiboroda, David Rousseau
https://arxiv.org/abs/2509.26527 https://

Interdisciplinary Digital Twin Engine InterTwin for calorimeter simulation
Calorimeter shower simulations are computationally expensive, and generative models offer an efficient alternative. However, achieving a balance between accuracy and speed remains a challenge, with distribution tail modeling being a key limitation. Invertible generative network CaloINN provides a trade-off between simulation quality and efficiency. The ongoing study targets introducing a set of post-processing modifications of analysis-level observables aimed at improving the accuracy of distri…

Die monatliche #Energieerzeugung meiner #Kernfusionskollektoranlage im Vergleich zu Prognosedaten aus einer Simulation.
Gesamtleistung: 480 Wp
Ausrichtung: West
Anstellwinkel: 58 Grad
👉 So berechnest Du die Jahresertragsprognose:

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…

In-situ globular clusters in alternative dark matter Milky Way galaxies: a first approach to fuzzy and core-like dark matter theories
Pierre Boldrini, Paola Di Matteo
https://arxiv.org/abs/2510.02130

In-situ globular clusters in alternative dark matter Milky Way galaxies: a first approach to fuzzy and core-like dark matter theories
We present a first analysis of the dynamics of in-situ globular clusters (GCs) in Milky Way (MW)-like galaxies embedded in fuzzy dark matter (FDM) halos, combining cosmological assembly histories from the TNG50 simulation with dedicated orbital integrations and analytical models. GC populations are initialized with identical distributions in normalized $E$-$L_{z}$ in matched CDM and FDM halos. In a universe dominated by FDM, we identify three distinct regimes for the in-situ GC population depen…

Combining Error Detection and Mitigation: A Hybrid Protocol for Near-Term Quantum Simulation
Dawei Zhong, William Munizzi, Huo Chen, Wibe Albert de Jong
https://arxiv.org/abs/2510.01181

Combining Error Detection and Mitigation: A Hybrid Protocol for Near-Term Quantum Simulation
Practical implementation of quantum error correction is currently limited by near-term quantum hardware. In contrast, quantum error mitigation has demonstrated strong promise for improving the performance of noisy quantum circuits without the requirement of full fault tolerance. In this work, we develop a hybrid error suppression protocol that integrates Pauli twirling, probabilistic error cancellation, and the $[[n, n-2, 2]]$ quantum error detecting code. In addition, to reduce overhead from e…

Exploring the Applicability of the Lattice-Boltzmann Method for Two-Dimensional Turbulence Simulation
Raquel Dapena-Garc\'ia, Vicente P\'erez-Mu\~nuzuri
https://arxiv.org/abs/2509.23820

Exploring the Applicability of the Lattice-Boltzmann Method for Two-Dimensional Turbulence Simulation
The Lattice-Boltzmann method is a mesoscopic approach for solving hydrodynamic problems involving both laminar and turbulent fluids. Although the suitability for the former cases is supported by a myriad of studies, turbulent flows always give rise to additional challenges that need to be addressed properly. In this paper, we estimate the accuracy of the simulation results obtained via a custom implementation of a Lattice-Boltzmann solver for a two-dimensional turbulent flow. To this end, a two…

Efficient spectra from atomistic simulation: a generalized master equation study of the air-water interface
Thomas Sayer
https://arxiv.org/abs/2510.00867 https://

Efficient spectra from atomistic simulation: a generalized master equation study of the air-water interface
Computing condensed phase spectra from atomistic simulations requires calculating correlation functions from molecular dynamics and can be very expensive. A totally general, data-driven method to reduce cost is to employ an exact rewriting to a generalized master equation characterized by a memory kernel. The decay time of the kernel can be less than the original function, reducing the amount of data required. In this paper we construct the minimal projection operator to predict vibrational sum…

Programming RISC-V accelerators via Fortran
Nick Brown, Jake Davies, Felix LeClair
https://arxiv.org/abs/2510.02170 https://arxiv.org/pdf/2510.02170…

Programming RISC-V accelerators via Fortran
A range of RISC-V based accelerators are available and coming to market, and there is strong potential for these to be used for High Performance Computing (HPC) workloads. However, such accelerators tend to provide bespoke programming models and APIs that require codes to be rewritten. In scientific computing, where many of the simulation code are highly complex, extensive, and written in Fortran, this is not realistic. In this extended abstract we present an approach that enables driving such …

NFL longshot picks, 2025 Week 5 odds, player props: This parlay would bring over a $14,000 return on a $10 bet

https://www.cbssports.com/nfl/news/nfl-longshot-picks-2025-week…

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 …

GreenhouseSplat: A Dataset of Photorealistic Greenhouse Simulations for Mobile Robotics
Diram Tabaa, Gianni Di Caro
https://arxiv.org/abs/2510.01848 https://

GreenhouseSplat: A Dataset of Photorealistic Greenhouse Simulations for Mobile Robotics
Simulating greenhouse environments is critical for developing and evaluating robotic systems for agriculture, yet existing approaches rely on simplistic or synthetic assets that limit simulation-to-real transfer. Recent advances in radiance field methods, such as Gaussian splatting, enable photorealistic reconstruction but have so far been restricted to individual plants or controlled laboratory conditions. In this work, we introduce GreenhouseSplat, a framework and dataset for generating photo…

step2point dataset: Detailed shower simulation for data representation studies
Anna Zaborowska (CERN), Peter McKeown (CERN)
https://arxiv.org/abs/2509.22340 https://

step2point dataset: Detailed shower simulation for data representation studies
This dataset contains a detailed simulation output that allows the construction and study of different data representations for electromagnetic and hadronic showers in calorimeters. It is published so that optimal data representations can be studied, with the ultimate goal of constructing a general tool that takes detailed simulation output and translates it into an optimal representation that can serve as the input to surrogate simulators based on generative models.

Die monatliche #Energieerzeugung meiner #Kernfusionskollektoranlage im Vergleich zu Prognosedaten aus einer Simulation.
Gesamtleistung: 480 Wp
Ausrichtung: West
Anstellwinkel: 58 Grad
👉 So berechnest Du die Jahresertragsprognose:

Quaking in Soft Granular Particles with Speed-dependent Friction: Effect of Inertia
Wei-Chang Lo, Jih-Chiang Tsai
https://arxiv.org/abs/2509.25932 https://…

Quaking in Soft Granular Particles with Speed-dependent Friction: Effect of Inertia
Our previous numerical simulation [C.-E. Tsai et al., Physical Review Research 6, 023065 (2024)] has shown that, for soft granular particles under quasistatic shearing, incorporating a speed-dependent friction is a necessary condition for reproducing the rate-dependent stick-slip fluctuations that have been found in laboratory experiments [J.-C. Tsai et al., Physical Review Letters 126, 128001 (2021)]. As a continuation, here we employ the simulation at a wide range of driving speeds to examine…

Planes of satellites, at once transient and persistent
Till Sawala (University of Helsinki)
https://arxiv.org/abs/2510.01318 https://arxiv.org/pdf/2510.013…

Planes of satellites, at once transient and persistent
The appearance of highly anisotropic planes of satellites around the Milky Way and other galaxies was long considered a challenge to the standard cosmological model. Recent simulations have shown such planes to be common, but they have been described as either "transient", short-lived alignments, or "persistent", long-lived structures. Here we analyse Milky Way analogue systems in the cosmological simulation TNG-50 to resolve this apparent contradiction. We show that, as the satellite populatio…

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

Quantum Simulation of Random Unitaries from Clebsch-Gordan Transforms
Dmitry Grinko, Satoshi Yoshida
https://arxiv.org/abs/2509.26623 https://arxiv.org/pdf…

Quantum Simulation of Random Unitaries from Clebsch-Gordan Transforms
We present a general method for simulating an action of $t$ copies of a Haar random unitary for arbitrary compact groups. This construction can be viewed as a representation-theoretic generalization of Zhandry's compressed function oracle technique. It is conceptually simple, exact and utilizes Clebsch-Gordan transforms as main building blocks. In particular, for the unitary group, our method is efficient in space and time. Finally, our general oracle for forward queries can be easily modified …

Performance-Guided Refinement for Visual Aerial Navigation using Editable Gaussian Splatting in FalconGym 2.0
Yan Miao, Ege Yuceel, Georgios Fainekos, Bardh Hoxha, Hideki Okamoto, Sayan Mitra
https://arxiv.org/abs/2510.02248

Performance-Guided Refinement for Visual Aerial Navigation using Editable Gaussian Splatting in FalconGym 2.0
Visual policy design is crucial for aerial navigation. However, state-of-the-art visual policies often overfit to a single track and their performance degrades when track geometry changes. We develop FalconGym 2.0, a photorealistic simulation framework built on Gaussian Splatting (GSplat) with an Edit API that programmatically generates diverse static and dynamic tracks in milliseconds. Leveraging FalconGym 2.0's editability, we propose a Performance-Guided Refinement (PGR) algorithm, which con…

Photonic Simulation of Beyond-Quantum Nonlocal Correlations (e.g. Popescu-Rohrlich Box) with Non-Signaling Quantum Resources
Kunal Shukla, Anirudh Verma, Kanad Sengupta, Sanchari Chakraborti, Manik Banik, C. M. Chandrashekar
https://arxiv.org/abs/2509.26271

Photonic Simulation of Beyond-Quantum Nonlocal Correlations (e.g. Popescu-Rohrlich Box) with Non-Signaling Quantum Resources
Bell nonlocality exemplifies the most profound departure of quantum theory from classical realism. Yet, the extent of nonlocality in quantum theory is intrinsically bounded, falling short of the correlations permitted by the relativistic causality (the no-signaling) principle. A paradigmatic example is the Popescu-Rohrlich correlation: two distant parties sharing arbitrary entanglement cannot achieve this correlation, though it can be simulated with classical communication between them. Here we…

Crosslisted article(s) found for physics.flu-dyn. https://arxiv.org/list/physics.flu-dyn/new
[1/1]:
- RheOFormer: A generative transformer model for simulation of complex fluids and flows
Maedeh Saberi, Amir Barati Farimani, Safa Jamali

Differentiable Skill Optimisation for Powder Manipulation in Laboratory Automation
Minglun Wei, Xintong Yang, Yu-Kun Lai, Ze Ji
https://arxiv.org/abs/2510.01438 https://

Differentiable Skill Optimisation for Powder Manipulation in Laboratory Automation
Robotic automation is accelerating scientific discovery by reducing manual effort in laboratory workflows. However, precise manipulation of powders remains challenging, particularly in tasks such as transport that demand accuracy and stability. We propose a trajectory optimisation framework for powder transport in laboratory settings, which integrates differentiable physics simulation for accurate modelling of granular dynamics, low-dimensional skill-space parameterisation to reduce optimisatio…

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

Relativistic Quantum Simulation under Periodic and Dirichlet Boundary Conditions: A First-Quantised Framework for Near-Term Devices
Jaewoo Joo, Timothy P. Spiller, Kyunghyun Baek, Jeongho Bang
https://arxiv.org/abs/2509.22579

Relativistic Quantum Simulation under Periodic and Dirichlet Boundary Conditions: A First-Quantised Framework for Near-Term Devices
We present a new recipe for relativistic quantum simulation using the first quantisation approach, under periodic (PBC) and Dirichlet (DBC) boundary conditions. The wavefunction is discretised across a finite grid represented by system qubits, and the squared momentum operator is expressed using the finite-difference method based on quantum translation operations. The relativistic kinetic energy is approximated through a perturbative expansion of the total kinetic Hamiltonian, incorporating hig…

Direct numerical simulation of two-phase flows with surfactant-induced surface viscous effects
Debashis Panda, Seungwon Shin, Abdullah M. Abdal, Lyes Kahouadji, Jalel Chergui, Damir Juric, Omar K. Matar
https://arxiv.org/abs/2509.24722

Direct numerical simulation of two-phase flows with surfactant-induced surface viscous effects
Direct numerical simulations of interfacial flows with surfactant-induced complexities involving surface viscous stresses are performed within the framework of the Level Contour Reconstruction Method (LCRM); this hybrid front-tracking/level-set approach leverages the advantages of both methods. In addition to interface-confined surfactant transport that results in surface diffusion and Marangoni stresses, the interface, endowed with shear and dilatational viscosities; these act to resist deform…

The (PXP)$^2$ model: long-range quantum scars in optical cavities
Hossein Hosseinabadi, Riccardo J. Valencia-Tortora, Aleksandr N. Mikheev, Darrick E. Chang, Johannes Zeiher, Roderich Moessner, Jamir Marino
https://arxiv.org/abs/2510.02246

The (PXP)$^2$ model: long-range quantum scars in optical cavities
Rydberg-cavity systems are emerging as promising platforms for quantum simulation and quantum information processing. These hybrid architectures combine two complementary interaction mechanisms: cavity photons mediate collective long-range couplings, while Rydberg excitations generate strong short-range interactions. Together, they offer a setting for engineering many-body phases characterized by a hierarchy of interactions across widely different length scales. In this work, we introduce a min…

Beyond Belief Propagation: Cluster-Corrected Tensor Network Contraction with Exponential Convergence
Siddhant Midha, Yifan F. Zhang
https://arxiv.org/abs/2510.02290 https://

Beyond Belief Propagation: Cluster-Corrected Tensor Network Contraction with Exponential Convergence
Tensor network contraction on arbitrary graphs is a fundamental computational challenge with applications ranging from quantum simulation to error correction. While belief propagation (BP) provides a powerful approximation algorithm for this task, its accuracy limitations are poorly understood and systematic improvements remain elusive. Here, we develop a rigorous theoretical framework for BP in tensor networks, leveraging insights from statistical mechanics to devise a \emph{cluster expansion}…

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…

Mathematical and numerical analysis of quantum signal processing
Lin Lin
https://arxiv.org/abs/2510.00443 https://arxiv.org/pdf/2510.00443

Mathematical and numerical analysis of quantum signal processing
Quantum signal processing (QSP) provides a representation of scalar polynomials of degree $d$ as products of matrices in $\mathrm{SU}(2)$, parameterized by $(d+1)$ real numbers known as phase factors. QSP is the mathematical foundation of quantum singular value transformation (QSVT), which is often regarded as one of the most important quantum algorithms of the past decade, with a wide range of applications in scientific computing, from Hamiltonian simulation to solving linear systems of equati…