Physics-Based Simulation

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19 papers in the last four weeks, up 217% on the four weeks before. 0.2% of all new papers.

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Latest papers 152

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MPMWorlds: Material-Point-Method Simulations for Inferring and Extrapolating Physical Dynamics
Jun 1, 2026Žiga Kovačič, Kevin EllisVideo Diffusion Models Material Point Method
Cornell University
Emergent Transfer of a Physics Foundation Model from Simulation to Laboratory Turbulence
May 31, 2026Payel Mukhopadhyay, Stefan S. Nixon, Romain Watteaux +20Sim-to-Real Transfer Physics-Based Simulation
University of Cambridge, UK · Polymathic AI · CEA, DAM/DIF, 91297 Arpajon Cedex, France +6
Real-Time Physics Simulation with Dynamic Mesh-Gaussian Reconstructions
May 30, 2026Adrian Ramlal, John S. Zelek3D Reconstruction Dynamic Scene Reconstruction
University of Waterloo
Coupling Language Models with Physics-based Simulation for Synthesis of Inorganic Materials
May 29, 2026Edward W. Staley, Tom Arbaugh, Michael Pekala +6Materials Science Large Language Model-Guided Scientific Discovery
Johns Hopkins Applied Physics Laboratory, Laurel, MD 20723 · Johns Hopkins University, Baltimore, MD 21218
NeuROK: Generative 4D Neural Object Kinematics
May 28, 2026Chen Geng, Guangzhao He, Yue Gao +3Generative Modeling 3D Representation Learning
1Stanford University · 3Cornell University · University of Cambridge
PhyGenHOI: Physically-Aware 4D Generation of Dynamic Human-Object Interactions
May 28, 2026Omer Benishu, Gal Fiebelman, Sagie BenaimHOI Generation Human Motion Generation
Hebrew University of Jerusalem
SAM3D-Phys: Towards Multi-Object Interactive Simulation in Real World
May 28, 2026Xin Dong, Weijian Deng, Lihan Zhang +33D Reconstruction 3D Mesh Reconstruction
Shenzhen International Graduate School, Tsinghua University · Pengcheng Laboratory
FreeForm: Reduced-Order Deformable Simulation from Particle-Based Skinning Eigenmodes
May 28, 2026Donglai Xiang, Vismay Modi, Rishit Dagli +5Hyperelasticity Reduced-Order Modeling
NVIDIA · 1NVIDIA · University of Toronto
Deep Learning Strain Estimation: Is Physics-Based Simulation the Solution?
May 27, 2026Thierry Judge, Nicolas Duchateau, Andreas Østvik +13Medical Image Analysis Echocardiography
Dept. of Computer Science, University of Sherbrooke, Sherbrooke, Canada · INSA, Universit´e Lyon 1, CNRS UMR 5220, Inserm U1206, CREATIS, Villeurbanne, France · Institut Universitaire de France (IUF) +7
ClothTransformer: Unified Latent-Space Transformers for Scalable Cloth Simulation
May 27, 2026Yu Zhang, Yidi Shao, Wenqi Ouyang +5Transformer Physics-Based Simulation
1S-Lab, Nanyang Technological University, Singapore · 2Feeling AI · University of Oxford +2
NUCLEUS-MoE: Unified Model of Pool Boiling for Liquid Cooling
May 26, 2026Arthur Feeney, Xianwei Zou, Sheikh Md Shakeel Hassan +2Neural Surrogate Modeling PDE Surrogate Modeling
Department of Electrical Engineering and Computer Science University of California, Irvine Irvine, CA, USA
Recursive Flow Matching
May 26, 2026Jiahe Huang, Sihan Xu, Sharvaree Vadgama +1Neural Surrogate Modeling Flow Matching
University of California, San Diego · University of Michigan
MuJoCoUni:Persistent Batched Runtime Primitives for MuJoCo
May 24, 2026Yufei Jia, Junzhe WuRobotics Simulation Physics-Based Simulation
Tsinghua University
Towards Real-World Identification of Fatigued Muscle Groups via Musculoskeletal Simulation
May 23, 2026Jenishkumar Chauhan, Samarth Brahmbhatt, Vineet VashistaMedical Diagnosis Sim-to-Real Transfer
Human-Centered Robotics Lab at IIT Gandhinagar, Gujarat, India · independent researcher from Mountain View, California, USA
IsaacIPC: Coupling High-Fidelity Simulation and Realistic Rendering for Contact-Rich Robotic Systems
May 23, 2026Qixin Liang, Zhongqing HanContact-Rich Robotic Manipulation Robotics Simulation
Anker Humanoid Lab · Shenzhen, China · The University of Hong Kong +1
Learning a Particle Dynamics Model with Real-world Videos
May 22, 2026Chanho Kim, Suhas V. Sumukh, Li FuxinWorld Model Learning Physics-Based Simulation
Oregon State University
Coupling-Robust Accuracy in Multiphysics Physics Informed Neural Networks via Kronecker-Preconditioned Optimization
May 22, 2026Youngjae Park, Jaemin Kim, Junghwa HongGauss-Newton Optimization Neural Network Optimization
Dept. of Control and Instrumentation Engineering, Korea University, Sejong, South Korea · BK21 FOUR Smart Mobility Education and Research Team, Korea University, Sejong, South Korea
MoSA: Motion-constrained Stress Adaptation for Mitigating Real-to-Sim Gap in Continuum Dynamics via Learning Residual Anisotropy
May 21, 2026Jiaxu Wang, Junhao He, Jingkai Sun +5Residual Learning Sim-to-Real Transfer
Hong Kong University of Science and Technology, Guangzhou, China · MMLab, Chinese University of Hong Kong, Hong Kong SAR · The University of Hong Kong, Hong Kong SAR
PhysX-Omni: Unified Simulation-Ready Physical 3D Generation for Rigid, Deformable, and Articulated Objects
May 20, 2026Ziang Cao, Yinghao Liu, Haitian Li +53D Asset Generation Physics-Based Simulation
S-Lab, Nanyang Technological University · ACE Robotics
Point Cloud Sequence Encoding for Material-conditioned Graph Network Simulators
May 20, 2026Philipp Dahlinger, Balázs Gyenes, Niklas Freymuth +6Sim-to-Real Transfer Point Cloud Learning
1Autonomous Learning Robots · 2Methods for Big Data · Institute of Vehicle System Technology
HyperBones: Realtime Bone-driven Neural Garment Simulation with Hypernetwork Conditioning
May 19, 2026Astitva Srivastava, Hsiao-Yu Chen, Ryan Goldade +9Physics-Based Simulation Deformable Object Simulation
IIIT Hyderabad, India · Meta Reality Labs, USA · IIT Jodhpur, India
Physics-informed simulation framework for realistic sonar image generation and statistical validation
May 19, 2026Kamal Basha S, Athira NambiarUnderwater Imaging Synthetic Data Generation
Department of Computational Intelligence, SRM Institute of Science and Technology, Chennai, India
MatPhys: Learning Material-Aware Physics Parameters for Deformable Object Simulation from Videos
May 19, 2026Yang Yang, Yiyan Wang, Zheming Liu +1Dynamic Scene Reconstruction Materials Property Prediction
1The University of Osaka · 3Huawei Technologies Japan K.K. · 2The University of Tokyo
pyforce-1.0.0: Python Framework for data-driven model Order Reduction of multi-physiCs problEms
May 18, 2026Stefano Riva, Yantao Luo, Carolina Introini +1Reduced-Order Modeling Physics-Based Simulation
Department of Energy, Nuclear Engineering Division, Politecnico di Milano, Milan, Italy · Department of Mechanical and Nuclear Engineering and Emirates Nuclear Technology Center, Khalifa University, Abu Dhabi (127788), United Arab Emirates
ML-based Fast Simulation of FARICH Responses
May 17, 2026Foma Shipilov, Alexander Barnyakov, Artem Ivanov +1High-Energy Physics Conditional Generative Modeling
HSE University, Moscow, Russia · Budker Institute of Nuclear Physics SB RAS, Novosibirsk, Russia · Novosibirsk State Technical University, Novosibirsk, Russia +1
WorldParticle: Unified World Simulation of Lagrangian Particle Dynamics via Transformer
May 14, 2026Caoliwen Wang, Minghao Guo, Siyuan Chen +13Neural Surrogate Modeling Transformer
University of British Columbia, Canada · MIT CSAIL, USA · Georgia Institute of Technology, USA +7
Chrono-Gymnasium: An Open-Source, Gymnasium-Compatible Distributed Simulation Framework
May 14, 2026Bocheng Zou, Harry Zhang, Khailanii Slaton +5Robotics Simulation Physics-Based Simulation
University of Wisconsin-Madison
DiffPhD: A Unified Differentiable Solver for Projective Heterogeneous Materials in Elastodynamics with Contact-Rich GPU-Acceleration
May 14, 2026Shih-Yu Lai, Sung-Han Tien, Jui-I Huang +9Robotics Simulation Hyperelasticity
National Taiwan University · MoonShine Animation Studio · National University of Singapore +3
Coding Agent Is Good As World Simulator
May 14, 2026Hongyu Wang, Jingquan Wang, Bocheng Zou +2Robotics Simulation World Models
Department of Mechanical & Aerospace Engineering, University of Wisconsin-Madison · School of Computer, Data, and Information Sciences, University of Wisconsin-Madison
Real2Sim: A Physics-driven and Editable Gaussian Splatting Framework for Autonomous Driving Scenes
May 13, 2026Kaicong Huang, Talha Azfar, Weisong Shi +13D Gaussian Splatting Synthetic Data Generation
Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, 110 Eighth Street, Troy, NY USA 12180. · Department of Computer and Information Sciences, University of Delaware, Newark, DE USA 19716.

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MPMWorlds: Material-Point-Method Simulations for Inferring and Extrapolating Physical Dynamics

Žiga Kovačič, Kevin Ellis

Cornell University

Video Diffusion Models Material Point Method Physics-Based Simulation Physical Reasoning in Video

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To study the ability to infer physical dynamics from videos and extrapolate them forward in time, we assemble a dataset of 2D Material Point Method (MPM) physical simulations covering rich physical phenomena such as deformable objects, fluids, kinetic objects, and emitters. We study code generation and video diffusion approaches on this dataset, identifying their strengths and weaknesses by varying the amount of physically relevant side information. The code generation model, beyond giving a working demonstration of automatic synthesis of MPM simulations, reveals that such an approach struggles with inferring physical parameters from visual input, but relative to video diffusion, produces physically and temporally stable extrapolations forward in time, while the video diffusion model more strongly identifies geometric properties from visual input but produces physically implausible extrapolations.

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