Awesome Neural Physics

A curated list of papers on the seamless fusion of neural models and physics simulation. It follows the field from injecting neural capabilities into classical solvers to embedding physical simulators directly within neural architectures.

Best browsing experience: use the interactive index for search, filtering, and tag-based lookup.

Interactive Index | BibTeX | Tag Guide | Citation

Contents

• Fluid (80)
• Cloth (53)
• Softbody (63)
• Rigidbody (38)
• Multiphys (13)
• Tag Guide
• Citation

Fluid (80)

Neural physics papers on fluid simulation, reconstruction, control, and differentiable methods.

• A Neural Particle Level Set Method for Dynamic Interface Tracking | TOG 2025
  Duowen Chen, Junwei Zhou, Bo Zhu
  [DOI] [Project]
  

• A Pioneering Neural Network Method for Efficient and Robust Fuel Sloshing Simulation in Aircraft | AAAI 2025
  Chen Yu, Shuai Zheng, Nianyi Wang, Menglong Jin, et al.
  [DOI] [Code]
  

• AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation | CVPR 2025
  Zeyi Xu, Jinfan Liu, Kuangxu Chen, Ye Chen, et al.
  [DOI] [Code]
  

• An Adjoint Method for Differentiable Fluid Simulation on Flow Maps | Siggraph Asia 2025
  Zhiqi Li, Jinjin He, Barnab'as B"orcs"ok, Taiyuan Zhang, et al.
  [Paper] [Project] [DOI]
  

• FlowCapX: Physics-Grounded Flow Capture with Long-Term Consistency | CGF 2025
  N. Tao, L. Zhang, Xingyu Ni, Mengyu Chu, et al.
  [DOI] [Code]
  

• Learning an Implicit Physical Model for Image-based Fluid Simulation | ICCV 2025
  Emily Yue-ting Jia, Jiageng Mao, Zhiyuan Gao, Yajie Zhao, et al.
  [Paper] [Project]
  

• Neural Kinematic Bases for Fluids | Siggraph Asia 2025
  Yibo Liu, Zhixin Fang, Sune Darkner, Noam Aigerman, et al.
  [Paper] [DOI]
  

• Representing Flow Fields with Divergence-Free Kernels for Reconstruction | PACMCGIT 2025
  Xingyu Ni, Jingrui Xing, X. Li, Bin Wang, et al.
  [DOI] [Project]
  

• UniPhy: Learning a Unified Constitutive Model for Inverse Physics Simulation | CVPR 2025
  Himangi Mittal, Peiye Zhuang, Hsin-Ying Lee, Shubham Tulsiani
  [DOI] [Project]
  

• A Real-Time and Interactive Fluid Modeling System for Mixed Reality | TVCG 2024
  Yunchi Cen, Hanchen Deng, Yue Ma, Xiaohui Liang
  [DOI] [Code]
  

• Dynamic ocean inverse modeling based on differentiable rendering | CVM 2024
  Xie, Xueguang, Gao, Yang, Hou, Fei, Hao, Aimin, et al.
  [Paper]
  

• Fluid Inverse Volumetric Modeling and Applications from Surface Motion | TVCG 2024
  Xie, Xueguang, Gao, Yang, Hou, Fei, Cheng, Tianwei, et al.
  [Paper]
  

• Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting | Arxiv 2024
  Yutao Feng, Xiang Feng, Yintong Shang, Ying Jiang, et al.
  [Project]
  

• Laplacian Projection Based Global Physical Prior Smoke Reconstruction | TVCG 2024
  Xiao, Shibang, Tong, Chao, Zhang, Qifan, Cen, Yunchi, et al.
  [Paper]
  

• Learning Reduced Fluid Dynamics | AAAI 2024
  Pan, Zherong, Gao, Xifeng, Wu, Kui
  [Paper]
  

• Neural Implicit Reduced Fluid Simulation | Siggraph Asia 2024
  Yuanyuan Tao, Ivan Puhachov, Derek Nowrouzezahrai, Paul Kry
  [DOI] [Project]
  

• Neural Monte Carlo Fluid Simulation | Siggraph 2024
  Pranav Jain, Ziyin Qu, Peter Yichen Chen, Oded Stein
  [DOI] [Code]
  

• Neural Physical Simulation with Multi-Resolution Hash Grid Encoding | AAAI 2024
  Wang, Haoxiang, Yu, Tao, Yang, Tianwei, Qiao, Hui, et al.
  [Paper]
  

• NeuralFluid: Neural Fluidic System Design and Control with Differentiable Simulation | NeurIPS 2024
  Li, Yifei, Sun, Yuchen, Ma, Pingchuan, Sifakis, Eftychios, et al.
  [Paper] [Project]
  

• NeuSmoke: Efficient Smoke Reconstruction and View Synthesis with Neural Transportation Fields | Siggraph Asia 2024
  Jiaxiong Qiu, Ruihong Cen, Zhong Li, Han Yan, et al.
  [DOI] [Code]
  

• Physics-Informed Learning of Characteristic Trajectories for Smoke Reconstruction | Siggraph 2024
  Yiming Wang, Siyu Tang, Mengyu Chu
  [DOI] [Code]
  

• Reconstruction of implicit surfaces from fluid particles using convolutional neural networks | CGF 2024
  Chunming Zhao, Tamar Shinar, Craig Schroeder
  [DOI] [Project]
  

• SNN-PDE: Learning Dynamic PDEs from Data with Simplicial Neural Networks | AAAI 2024
  Jae Woong Choi, Yuzhou Chen, Huikyo Lee, Hyun Kim, et al.
  [DOI] [DOI]
  

• Symmetric Basis Convolutions for Learning Lagrangian Fluid Mechanics | ICLR 2024
  Rene Winchenbach, Nils Thuerey
  [Code]
  

• A generalized constitutive model for versatile mpm simulation and inverse learning with differentiable physics | PACMCGIT 2023
  Su, Haozhe, Li, Xuan, Xue, Tao, Jiang, Chenfanfu, et al.
  [Project]
  

• Boundary Graph Neural Networks for 3D Simulations | AAAI 2023
  Andreas Mayr, Sebastian Lehner, Arno Mayrhofer, Christoph Kloss, et al.
  [DOI] [Project]
  

• Fast fluid simulation via dynamic multi-scale gridding | AAAI 2023
  Liu, Jinxian, Chen, Ye, Ni, Bingbing, Ren, Wei, et al.
  [Paper]
  

• Fluid Simulation on Neural Flow Maps | TOG 2023
  Deng, Yitong, Yu, Hong-Xing, Zhang, Diyang, Wu, Jiajun, et al.
  [Project]
  

• FluidLab: A Differentiable Environment for Benchmarking Complex Fluid Manipulation | ICLR 2023
  Xian, Zhou, Zhu, Bo, Xu, Zhenjia, Tung, Hsiao-Yu, et al.
  [Project]
  

• Inferring Hybrid Neural Fluid Fields from Videos | NeurIPS 2023
  Yu, Hong-Xing, Zheng, Yang, Gao, Yuan, Deng, Yitong, et al.
  [Paper] [Project]
  

• Interactive design of 2D car profiles with aerodynamic feedback | CGF 2023
  Nicolas Rosset, Guillaume Cordonnier, Régis Duvigneau, Adrien Bousseau
  [DOI] [Project]
  

• Learning to Estimate Single-View Volumetric Flow Motions without 3D Supervision | ICLR 2023
  Erik Franz, Barbara Solenthaler, Nils Thuerey
  [Project]
  

• Learning Vortex Dynamics for Fluid Inference and Prediction | ICLR 2023
  Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu
  [Code]
  

• Neural Stress Fields for Reduced-order Elastoplasticity and Fracture | Siggraph Asia 2023
  Zong, Zeshun, Li, Xuan, Li, Minchen, Chiaramonte, Maurizio M, et al.
  [Project]
  

• Neural vortex method: From finite Lagrangian particles to infinite dimensional Eulerian dynamics | Comput. Fluids 2023
  Shiying Xiong, Xingzhe He, Yunjin Tong, Yitong Deng, et al.
  [Paper] [DOI]
  

• PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification | ICLR 2023
  Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, et al.
  [Project]
  

• PhysGaussian: Physics-Integrated 3D Gaussians for Generative Dynamics | Arxiv 2023
  Xie, Tianyi, Zong, Zeshun, Qiu, Yuxing, Li, Xuan, et al.
  [Project]
  

• Physics-Informed Neural Corrector for Deformation-based Fluid Control | CGF 2023
  Tang, Jingwei, Kim, Byungsoo, Azevedo, Vinicius C., Solenthaler, Barbara
  [Project] [DOI]
  

• Solving Inverse Physics Problems with Score Matching | NeurIPS 2023
  Holzschuh, Benjamin, Vegetti, Simona, Thuerey, Nils
  [Code]
  

• SurfsUp: Learning Fluid Simulation for Novel Surfaces | ICCV 2023
  Arjun Mani, Ishaan Preetam Chandratreya, Elliot Creager, Carl Vondrick, et al.
  [DOI] [Project]
  

• ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation | RSS 2022
  Bokui Shen, Zhenyu Jiang, Christopher Choy, Silvio Savarese, et al.
  [DOI]
  

• Deep Reconstruction of 3D Smoke Densities from Artist Sketches | CGF 2022
  Kim, Byungsoo, Huang, Xingchang, Wuelfroth, Laura, Tang, Jingwei, et al.
  [Paper] [DOI]
  

• Efficient Neural Style Transfer for Volumetric Simulations | TOG 2022
  Aurand, Joshua, Ortiz, Raphael, Nauer, Silvia, Azevedo, Vinicius C.
  [Project] [DOI]
  

• Fluidic Topology Optimization with an Anisotropic Mixture Model | TOG 2022
  Yifei Li, Tao Du, Sangeetha Srinivasan, Kui Wu, et al.
  [DOI] [Project]
  

• Guaranteed conservation of momentum for learning particle-based fluid dynamics | NeurIPS 2022
  Prantl, Lukas, Ummenhofer, Benjamin, Koltun, Vladlen, Thuerey, Nils
  [Code]
  

• Half-Inverse Gradients for Physical Deep Learning | ICLR 2022
  Patrick Schnell, Philipp Holl, Nils Thuerey
  [Paper]
  

• Neurofluid: Fluid dynamics grounding with particle-driven neural radiance fields | ICML 2022
  Guan, Shanyan, Deng, Huayu, Wang, Yunbo, Yang, Xiaokang
  [Project]
  

• Physics informed neural fields for smoke reconstruction with sparse data | TOG 2022
  Chu, Mengyu, Liu, Lingjie, Zheng, Quan, Franz, Erik, et al.
  [Project] [DOI]
  

• Transformer with implicit edges for particle-based physics simulation | ECCV 2022
  Shao, Yidi, Loy, Chen Change, Dai, Bo
  [Project]
  

• Versatile Control of Fluid-directed Solid Objects Using Multi-task Reinforcement Learning | TOG 2022
  Ren, Bo, Ye, Xiaohan, Pan, Zherong, Zhang, Taiyuan
  [Paper] [DOI]
  

• Data-driven simulation in fluids animation: A survey | VRIH 2021
  Chen, Qian, Wang, Yue, Wang, Hui, Yang, Xubo
  [Paper]
  

• Global transport for fluid reconstruction with learned self-supervision | CVPR 2021
  Franz, Erik, Solenthaler, Barbara, Thuerey, Nils
  [Project]
  

• Learning meaningful controls for fluids | TOG 2021
  Chu, Mengyu, Thuerey, Nils, Seidel, Hans-Peter, Theobalt, Christian, et al.
  [Project]
  

• Model-Predictive Control of Blood Suction for Surgical Hemostasis using Differentiable Fluid Simulations | ICRA 2021
  Jing-bin Huang, Fei Liu, Florian Richter, Michael C. Yip
  [DOI] [Project]
  

• Neural upflow: A scene flow learning approach to increase the apparent resolution of particle-based liquids | PACMCGIT 2021
  Roy, Bruno, Poulin, Pierre, Paquette, Eric
  [Paper]
  

• Predicting high-resolution turbulence details in space and time | TOG 2021
  Bai, Kai, Wang, Chunhao, Desbrun, Mathieu, Liu, Xiaopei
  [Paper]
  

• Two-step Temporal Interpolation Network Using Forward Advection for Efficient Smoke Simulation | CGF 2021
  Oh, Young Jin, Lee, In-Kwon
  [Project]
  

• Volumetric appearance stylization with stylizing kernel prediction network | TOG 2021
  Guo, Jie, Li, Mengtian, Zong, Zijing, Liu, Yuntao, et al.
  [Paper] [DOI]
  

• A Novel CNN-Based Poisson Solver for Fluid Simulation | TVCG 2020
  Xiao, Xiangyun, Zhou, Yanqing, Wang, Hui, Yang, Xubo
  [Project] [DOI]
  

• Dynamic fluid surface reconstruction using deep neural network | CVPR 2020
  Thapa, Simron, Li, Nianyi, Ye, Jinwei
  [Project]
  

• Dynamic Upsampling of Smoke through Dictionary-based Learning | TOG 2020
  Bai, Kai, Li, Wei, Desbrun, Mathieu, Liu, Xiaopei
  [Project] [DOI]
  

• Interactive liquid splash modeling by user sketches | TOG 2020
  Yan, Guowei, Chen, Zhili, Yang, Jimei, Wang, Huamin
  [Paper]
  

• Lagrangian neural style transfer for fluids | TOG 2020
  Kim, Byungsoo, Azevedo, Vinicius C., Gross, Markus, Solenthaler, Barbara
  [Code] [DOI]
  

• Latent space subdivision: stable and controllable time predictions for fluid flow | CGF 2020
  Wiewel, Steffen, Kim, Byungsoo, Azevedo, Vinicius C, Solenthaler, Barbara, et al.
  [Project]
  

• Learning to Control PDEs with Differentiable Physics | ICLR 2020
  Philipp Holl, Vladlen Koltun, Nils Thuerey
  [Paper] [Code] [DOI]
  

• Learning to manipulate amorphous materials | TOG 2020
  Zhang, Yunbo, Yu, Wenhao, Liu, C. Karen, Kemp, Charlie, et al.
  [Project] [DOI]
  

• Machine learning for fluid mechanics | ARFM 2020
  Brunton, Steven L, Noack, Bernd R, Koumoutsakos, Petros
  [Project]
  

• Tomofluid: Reconstructing dynamic fluid from sparse view videos | CVPR 2020
  Zang, Guangming, Idoughi, Ramzi, Wang, Congli, Bennett, Anthony, et al.
  [Paper]
  

• A CNN-based Flow Correction Method for Fast Preview | CGF 2019
  Xiao, Xiangyun, Wang, Hui, Yang, Xubo
  [Project]
  

• Lagrangian fluid simulation with continuous convolutions | ICLR 2019
  Ummenhofer, Benjamin, Prantl, Lukas, Thuerey, Nils, Koltun, Vladlen
  [Project]
  

• ScalarFlow: a large-scale volumetric data set of real-world scalar transport flows for computer animation and machine learning | TOG 2019
  Eckert, Marie-Lena, Um, Kiwon, Thuerey, Nils
  [Project] [DOI]
  

• Transport-based neural style transfer for smoke simulations | TOG 2019
  Kim, Byungsoo, Azevedo, Vinicius C., Gross, Markus, Solenthaler, Barbara
  [Paper] [DOI]
  

• Video-guided real-to-virtual parameter transfer for viscous fluids | TOG 2019
  Takahashi, Tetsuya, Lin, Ming C.
  [Project] [DOI]
  

• Deep dynamical modeling and control of unsteady fluid flows | NeurIPS 2018
  Morton, Jeremy, Jameson, Antony, Kochenderfer, Mykel J, Witherden, Freddie
  [Code]
  

• Fluid directed rigid body control using deep reinforcement learning | TOG 2018
  Ma, Pingchuan, Tian, Yunsheng, Pan, Zherong, Ren, Bo, et al.
  [Project] [DOI]
  

• tempoGAN: A temporally coherent, volumetric GAN for super-resolution fluid flow | TOG 2018
  Xie, You, Franz, Erik, Chu, Mengyu, Thuerey, Nils
  [Project]
  

• Accelerating eulerian fluid simulation with convolutional networks | ICML 2017
  Tompson, Jonathan, Schlachter, Kristofer, Sprechmann, Pablo, Perlin, Ken
  [Code]
  

• Data-driven synthesis of smoke flows with CNN-based feature descriptors | TOG 2017
  Chu, Mengyu, Thuerey, Nils
  [Project] [DOI]
  

• Data-driven projection method in fluid simulation | CAVW 2016
  Yang, Cheng, Yang, Xubo, Xiao, Xiangyun
  [Project] [DOI]
  

• Data-driven fluid simulations using regression forests | TOG 2015
  Ladick'y, L'ubor, Jeong, SoHyeon, Solenthaler, Barbara, Pollefeys, Marc, et al.
  [Paper] [DOI]
  

Cloth (53)

Papers on cloth, garments, and apparel-related dynamics, reconstruction, and avatar-centric modeling.

• Dress Anyone : Automatic Physically-Based Garment Pattern Refitting 56 | PACMCGIT 2025
  Hsiao-yu Chen, Egor Larionov, Ladislav Kavan, Gene Wei-Chin Lin, et al.
  [DOI] [Project]
  

• Dress-1-to-3: Single Image to Simulation-Ready 3D Outfit with Diffusion Prior and Differentiable Physics | TOG 2025
  Xuan Li, Chang Yu, Wenxin Du, Ying Jiang, et al.
  [DOI] [Project]
  

• Frequency-Divided Learning of Fine-Grained Clothing Behavior via Flexible Dynamic Graphs | TVCG 2025
  Tianxing Li, Rui Shi, Takashi Kanai, Qing Zhu
  [DOI] [Project]
  

• PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos | ICCV 2025
  Jiang, Hanxiao, Hsu, Hao-Yu, Zhang, Kaifeng, Yu, Hsin-Ni, et al.
  [Project]
  

• PICA: Physics-Integrated Clothed Avatar | TVCG 2025
  Bo Peng, Yunfan Tao, Haoyu Zhan, Yudong Guo, et al.
  [DOI] [Project] [DOI]
  

• Self-Supervised Humidity-Controllable Garment Simulation via Capillary Bridge Modeling | CGF 2025
  Min Shi, Xinyuan Wang, J. Zhang, Lin Gao, et al.
  [DOI]
  

• Bayesian Differentiable Physics for Cloth Digitalization | CVPR 2024
  Deshan Gong, Ningtao Mao, He Wang
  [Code]
  

• ContourCraft: Learning to Resolve Intersections in Neural Multi-Garment Simulations | Siggraph 2024
  Artur Grigorev, Giorgio Becherini, Michael J. Black, Otmar Hilliges, et al.
  [DOI]
  

• DiffAvatar: Simulation-Ready Garment Optimization with Differentiable Simulation | CVPR 2024
  Li, Yifei, Chen, Hsiao-yu, Larionov, Egor, Sarafianos, Nikolaos, et al.
  [Paper]
  

• Efficient Deformation Learning of Varied Garments with a Structure-Preserving Multilevel Framework | PACMCGIT 2024
  Tianxing Li, Rui Shi, Zihui Li, Takashi Kanai, et al.
  [DOI] [Project]
  

• Estimating Cloth Simulation Parameters From Tag Information and Cusick Drape Test | CGF 2024
  Eunjung Ju, Kwang-yun Kim, S. W. Yoon, Eungjune Shim, et al.
  [DOI] [Project]
  

• Garment Animation NeRF with Color Editing | CGF 2024
  Renke Wang, Meng Zhang, Jun Li, Jian Yang
  [DOI] [Project]
  

• GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details | Arxiv 2024
  Li, Boqian, Li, Xuan, Jiang, Ying, Xie, Tianyi, et al.
  [Paper]
  

• Inverse Garment and Pattern Modeling with a Differentiable Simulator | CGF 2024
  Boyang Yu, Frédéric Cordier, Hyewon Seo
  [DOI]
  

• Neural Garment Dynamic Super-Resolution | Siggraph Asia 2024
  Meng Zhang, Jun Li
  [DOI] [Project]
  

• Neural Garment Dynamics via Manifold-Aware Transformers | CGF 2024
  Peizhuo Li, Tuanfeng Y. Wang, Timur Levent Kesdogan, Duygu Ceylan, et al.
  [DOI] [Code]
  

• NeuralClothSim: Neural Deformation Fields Meet the Thin Shell Theory | NeurIPS 2024
  Navami Kairanda, Marc Habermann, Christian Theobalt, Vladislav Golyanik
  [Paper] [Project]
  

• Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments | TVCG 2024
  X. Chen, Guangrun Wang, Xiaogang Xu, Philip H. S. Torr, et al.
  [DOI] [Project]
  

• Physics-guided Shape-from-Template: Monocular Video Perception through Neural Surrogate Models | CVPR 2024
  David Stotko, Nils Wandel, Reinhard Klein
  [DOI] [Code]
  

• Real-Time Neural Cloth Deformation Using a Compact Latent Space and a Latent Vector Predictor | ECCV 2024
  Chanhaeng Lee, Maksym Perepichka, Saeed Ghorbani, Sudhir Mudur, et al.
  [DOI]
  

• Super-Resolution Cloth Animation with Spatial and Temporal Coherence | TOG 2024
  Jiawang Yu, Zhendong Wang
  [DOI] [Project]
  

• ClothCombo: Modeling Inter-Cloth Interaction for Draping Multi-Layered Clothes | TOG 2023
  Lee, Dohae, Kang, Hyun, Lee, In-Kwon
  [Paper]
  

• D-Cloth: Skinning-based Cloth Dynamic Prediction with a Three-stage Network | CGF 2023
  Li, Yu Di, Tang, Min, Chen, Xiao Rui, Yang, Yun, et al.
  [Project]
  

• Data-Free Learning of Reduced-Order Kinematics | Siggraph 2023
  Sharp, Nicholas, Romero, Cristian, Jacobson, Alec, Vouga, Etienne, et al.
  [Project]
  

• Detail-Aware Deep Clothing Animations Infused with Multi-Source Attributes | CGF 2023
  Li, Tianxing, Shi, Rui, Kanai, Takashi
  [Paper]
  

• DiffXPBD: Differentiable Position-Based Simulation of Compliant Constraint Dynamics | PACMCGIT 2023
  Stuyck, Tuur, Chen, Hsiao-yu
  [DOI]
  

• Dynamic mesh-aware radiance fields | ICCV 2023
  Qiao, Yi-Ling, Gao, Alexander, Xu, Yiran, Feng, Yue, et al.
  [Project]
  

• HOOD: Hierarchical Graphs for Generalized Modelling of Clothing Dynamics | CVPR 2023
  Artur Grigorev, Michael J. Black, Otmar Hilliges
  [DOI] [Project]
  

• How Will It Drape Like? Capturing Fabric Mechanics from Depth Images | CGF 2023
  Carlos Rodríguez-Pardo, Melania Prieto-Martín, Dan Casas, Elena Garcés
  [DOI] [Project] [DOI]
  

• Learning Anchor Transformations for 3D Garment Animation | CVPR 2023
  Fang Zhao, Zekun Li, Shaoli Huang, Junwu Weng, et al.
  [DOI] [Project]
  

• SwinGar: Spectrum-Inspired Neural Dynamic Deformation for Free-Swinging Garments | TVCG 2023
  Tianxing Li, Rui Shi, Qing Zhu, Takashi Kanai
  [DOI]
  

• Towards Multi-Layered 3D Garments Animation | ICCV 2023
  Yidi Shao, Chen Change Loy, Bo Dai
  [DOI] [Project]
  

• DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact | TOG 2022
  Li, Yifei, Du, Tao, Wu, Kui, Xu, Jie, et al.
  [Paper] [DOI]
  

• Dressing avatars: Deep photorealistic appearance for physically simulated clothing | TOG 2022
  Xiang, Donglai, Bagautdinov, Timur, Stuyck, Tuur, Prada, Fabian, et al.
  [Project]
  

• Learning Latent Graph Dynamics for Visual Manipulation of Deformable Objects | ICRA 2022
  Xiao Ma, David Hsu, Wee Sun Lee
  [DOI]
  

• Learning-based bending stiffness parameter estimation by a drape tester | TOG 2022
  Feng, Xudong, Huang, Wenchao, Xu, Weiwei, Wang, Huamin
  [Code]
  

• Mesh-based Dynamics with Occlusion Reasoning for Cloth Manipulation | RSS 2022
  Zixuan Huang, Xingyu Lin, David Held
  [DOI]
  

• Neural cloth simulation | TOG 2022
  Bertiche, Hugo, Madadi, Meysam, Escalera, Sergio
  [Project]
  

• Pattern-based cloth registration and sparse-view animation | TOG 2022
  Halimi, Oshri, Stuyck, Tuur, Xiang, Donglai, Bagautdinov, Timur, et al.
  [Paper]
  

• Predicting loose-fitting garment deformations using bone-driven motion networks | Siggraph 2022
  Pan, Xiaoyu, Mai, Jiaming, Jiang, Xinwei, Tang, Dongxue, et al.
  [Project]
  

• Snug: Self-supervised neural dynamic garments | CVPR 2022
  Santesteban, Igor, Otaduy, Miguel A, Casas, Dan
  [Project]
  

• Dynamic neural garments | TOG 2021
  Zhang, Meng, Wang, Tuanfeng Y., Ceylan, Duygu, Mitra, Niloy J.
  [Project] [DOI]
  

• gradSim: Differentiable Simulation for System Identification and Visuomotor Control | ICLR 2021
  Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, et al.
  [Paper] [Project]
  

• Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control | CVPR 2021
  Jingfan Guo, Jie Li, Rahul Narain, Hyun Soo Park
  [DOI]
  

• Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based Simulations | Arxiv 2021
  Bertiche, Hugo, Madadi, Meysam, Escalera, Sergio
  [Paper] [Project]
  

• PBNS: physically based neural simulation for unsupervised garment pose space deformation | TOG 2021
  Bertiche, Hugo, Madadi, Meysam, Escalera, Sergio
  [Project] [DOI]
  

• Self-supervised collision handling via generative 3d garment models for virtual try-on | CVPR 2021
  Santesteban, Igor, Thuerey, Nils, Otaduy, Miguel A, Casas, Dan
  [Project]
  

• Cloth in the wind: A case study of physical measurement through simulation | CVPR 2020
  Runia, Tom FH, Gavrilyuk, Kirill, Snoek, Cees GM, Smeulders, Arnold WM
  [Paper]
  

• Learning Mesh-Based Simulation with Graph Networks | ICLR 2020
  Tobias Pfaff, Meire Fortunato, Álvaro Sánchez-González, Peter Battaglia
  [Paper] [Project] [DOI]
  

• Learning to measure the static friction coefficient in cloth contact | CVPR 2020
  Rasheed, Abdullah Haroon, Romero, Victor, Bertails-Descoubes, Florence, Wuhrer, Stefanie, et al.
  [Paper]
  

• Projective dynamics with dry frictional contact | TOG 2020
  Ly, Micka"el, Jouve, Jean, Boissieux, Laurence, Bertails-Descoubes, Florence
  [Project] [DOI]
  

• Differentiable Cloth Simulation for Inverse Problems | NeurIPS 2019
  Liang, Junbang, Lin, Ming, Koltun, Vladlen
  [Project]
  

• Learning an intrinsic garment space for interactive authoring of garment animation | TOG 2019
  Wang, Tuanfeng Y., Shao, Tianjia, Fu, Kai, Mitra, Niloy J.
  [Project] [DOI]
  

Softbody (63)

Work on deformable objects, elasticity, fracture, soft robots, and learned physical models for soft materials.

• Neuralocks: Real-Time Dynamic Neural Hair Simulation | CGF 2026
  Gene Wei-Chin Lin, Egor Larionov, Hsiao-yu Chen, Doug Roble, et al.
  [DOI]
  

• A Differentiable Material Point Method Framework for Shape Morphing | TVCG 2025
  Min Xu, Chongmin Song, David I. W. Levin, David Hyde
  [DOI] [Project]
  

• DeepFracture: A Generative Approach for Predicting Brittle Fractures with Neural Discrete Representation Learning | CGF 2025
  Huang, Yuhang, Kanai, Takashi
  [Project] [DOI]
  

• Differentiable Simulation of Soft Robots with Frictional Contacts | IEEE 8th International Conference on Soft Robotics (RoboSoft) 2025
  Etienne Ménager, Louis Montaut, Quentin Le Lidec, Justin Carpentier
  [DOI] [Project]
  

• Elastic Locomotion with Mixed Second-order Differentiation | Siggraph 2025
  Siyuan Shen, Tianjia Shao, Kun Zhou, Chenfanfu Jiang, et al.
  [DOI]
  

• Inverse Design of Discrete Interlocking Materials with Desired Mechanical Behavior | Siggraph 2025
  Pengbin Tang, Bernhard Thomaszewski, Stelian Coros, Bernd Bickel
  [DOI] [Project]
  

• Learning Object Properties Using Robot Proprioception via Differentiable Robot-Object Interaction | ICRA 2025
  Peter Yichen Chen, Lijun Liu, Pingchuan Ma, J. J. Eastman, et al.
  [DOI] [Project]
  

• Neural Modular Physics for Elastic Simulation | Arxiv 2025
  Li, Yifei, Wu, Haixu, Xu, Zeyi, Stuyck, Tuur, et al.
  [Paper] [Project]
  

• Neurally Integrated Finite Elements for Differentiable Elasticity on Evolving Domains | TOG 2025
  Gilles Daviet, Tianchang Shen, Nicholas Sharp, David I. W. Levin
  [DOI] [Project]
  

• Precise Gradient Discontinuities in Neural Fields for Subspace Physics | Siggraph Asia 2025
  Mengfei Liu, Yue Chang, Zhecheng Wang, Peter Yichen Chen, et al.
  [DOI] [Project]
  

• Quaffure: Real-Time Quasi-Static Neural Hair Simulation | CVPR 2025
  Tuur Stuyck, Gene Wei-Chin Lin, Egor Larionov, Hsiao-yu Chen, et al.
  [DOI] [Project]
  

• Self-supervised Learning of Latent Space Dynamics | PACMCGIT 2025
  Yue Li, Gene Wei-Chin Lin, Egor Larionov, Aljaž Božič, et al.
  [DOI]
  

• Shape Space Spectra | TOG 2025
  Chang Yue, Otman Benchekroun, Maurizio M. Chiaramonte, Peter Yichen Chen, et al.
  [DOI] [Project]
  

• Structure from Collision | CVPR 2025
  Takuhiro Kaneko
  [DOI]
  

• Differentiable solver for time-dependent deformation problems with contact | TOG 2024
  Huang, Zizhou, Tozoni, Davi Colli, Gjoka, Arvi, Ferguson, Zachary, et al.
  [Paper]
  

• Differentiable Voronoi Diagrams for Simulation of Cell-Based Mechanical Systems | TOG 2024
  Numerow, Logan, Li, Yue, Coros, Stelian, Thomaszewski, Bernhard
  [Code]
  

• DiffSound: Differentiable Modal Sound Rendering and Inverse Rendering for Diverse Inference Tasks | Siggraph 2024
  Xutong Jin, Chenxi Xu, Ruohan Gao, Jiajun Wu, et al.
  [DOI] [Project]
  

• ElastoGen: 4D Generative Elastodynamics | Arxiv 2024
  Feng, Yutao, Shang, Yintong, Feng, Xiang, Lan, Lei, et al.
  [Paper]
  

• Feature Splatting: Language-Driven Physics-Based Scene Synthesis and Editing | Arxiv 2024
  Qiu, Ri-Zhao, Yang, Ge, Zeng, Weijia, Wang, Xiaolong
  [Project]
  

• Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization | CVPR 2024
  Takuhiro Kaneko
  [DOI]
  

• Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution | TOG 2024
  Hyojoon Park, Sangeetha Grama Srinivasan, Matthew Cong, Doyub Kim, et al.
  [DOI] [Code]
  

• Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces | CVPR 2024
  Jiahong Wang, Yinwei Du, Stelian Coros, Bernhard Thomaszewski
  [DOI] [Code]
  

• PhysDreamer: Physics-Based Interaction with 3D Objects via Video Generation | Arxiv 2024
  Tianyuan Zhang, Hong-Xing Yu, Rundi Wu, Brandon Y. Feng, et al.
  [Project]
  

• Pie-nerf: Physics-based interactive elastodynamics with nerf | CVPR 2024
  Feng, Yutao, Shang, Yintong, Li, Xuan, Shao, Tianjia, et al.
  [Project]
  

• Real-time Wing Deformation Simulations for Flying Insects | Siggraph 2024
  Qiang Chen, Zhigang Deng, Feng Li, Yuming Fang, et al.
  [DOI] [Project]
  

• VR-GS: A Physical Dynamics-Aware Interactive Gaussian Splatting System in Virtual Reality | Arxiv 2024
  Jiang, Ying, Yu, Chang, Xie, Tianyi, Li, Xuan, et al.
  [Project]
  

• Beyond Chainmail: Computational Modeling of Discrete Interlocking Materials | TOG 2023
  Pengbin Tang, Stelian Coros, Bernhard Thomaszewski
  [DOI]
  

• DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets | ICRA 2023
  Isabella Huang, Yashraj Narang, Růžena Bajcsy, Fábio Ramos, et al.
  [DOI] [Project]
  

• DiffVL: Scaling Up Soft Body Manipulation using Vision-Language Driven Differentiable Physics | NeurIPS 2023
  Huang, Zhiao, Chen, Feng, Pu, Yewen, Lin, Chunru, et al.
  [Paper]
  

• Elastic Context: Encoding Elasticity for Data-driven Models of Textiles Elastic Context: Encoding Elasticity for Data-driven Models of Textiles | ICRA 2023
  Alberta Longhini, Marco Moletta, Alfredo Reichlin, Michael C. Welle, et al.
  [DOI]
  

• Learning Contact Deformations with General Collider Descriptors | Siggraph Asia 2023
  Romero, Cristian, Casas, Dan, Chiaramonte, Maurizio, Otaduy, Miguel A
  [Project]
  

• LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields | Siggraph Asia 2023
  Chang, Yue, Chen, Peter Yichen, Wang, Zhecheng, Chiaramonte, Maurizio M., et al.
  [Paper] [DOI]
  

• Neural Metamaterial Networks for Nonlinear Material Design | TOG 2023
  Li, Yue, Coros, Stelian, Thomaszewski, Bernhard
  [Code] [DOI]
  

• Neuwigs: A neural dynamic model for volumetric hair capture and animation | CVPR 2023
  Wang, Ziyan, Nam, Giljoo, Stuyck, Tuur, Lombardi, Stephen, et al.
  [Project]
  

• SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering | RSS 2023
  Jun Lv, Yunhai Feng, Cheng Zhang, Shuang Zhao, et al.
  [DOI]
  

• Contact-centric deformation learning | TOG 2022
  Romero, Cristian, Casas, Dan, Chiaramonte, Maurizio M, Otaduy, Miguel A
  [Project]
  

• Differentiable Depth for Real2Sim Calibration of Soft Body Simulations | CGF 2022
  Kasra Arnavaz, Mads Nielsen, Paul G. Kry, Miles Macklin, et al.
  [DOI] [Project]
  

• Differentiable simulation of inertial musculotendons | TOG 2022
  Wang, Ying, Verheul, Jasper, Yeo, Sang-Hoon, Kalantari, Nima Khademi, et al.
  [Paper]
  

• DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools | ICLR 2022
  Xingyu Lin, Zhiao Huang, Yunzhu Li, Joshua B. Tenenbaum, et al.
  [Paper] [Project] [DOI]
  

• Implicit neural representation for physics-driven actuated soft bodies | TOG 2022
  Yang, Lingchen, Kim, Byungsoo, Zoss, Gaspard, G"ozc"u, Baran, et al.
  [Paper]
  

• Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints | ICRA 2022
  Xinghao Zhu, Siddarth Jain, Masayoshi Tomizuka, Jeroen van Baar
  [DOI]
  

• Neuphysics: Editable neural geometry and physics from monocular videos | NeurIPS 2022
  Qiao, Yi-Ling, Gao, Alexander, Lin, Ming
  [Project]
  

• RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks | RSS 2022
  Haochen Shi, Huazhe Xu, Zhiao Huang, Yunzhu Li, et al.
  [DOI]
  

• Soft Robots Learn to Crawl: Jointly Optimizing Design and Control with Sim-to-Real Transfer | RSS 2022
  Charles Schaff, Audrey Sedal, Matthew R. Walter
  [DOI]
  

• Tracking Fast Trajectories with a Deformable Object using a Learned Model | ICRA 2022
  James A. Preiss, David Millard, Tao Yao, Gaurav S. Sukhatme
  [DOI] [Project]
  

• Virtual Elastic Objects | CVPR 2022
  Hsiao-yu Chen, Edith Tretschk, Tuur Stuyck, Petr Kadleček, et al.
  [DOI] [Project]
  

• A Deep Emulator for Secondary Motion of 3D Characters | CVPR 2021
  Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbič
  [DOI] [Code]
  

• Accurately Solving Rod Dynamics with Graph Learning | NeurIPS 2021
  Han Shao, Tassilo Kugelstadt, Torsten Hädrich, Wojtek Pałubicki, et al.
  [Project] [Project]
  

• DiffAqua | TOG 2021
  Pingchuan Ma, Tao Du, John Z. Zhang, Kui Wu, et al.
  [DOI] [Project]
  

• Differentiable simulation of soft multi-body systems | NeurIPS 2021
  Qiao, Yiling, Liang, Junbang, Koltun, Vladlen, Lin, Ming
  [Code]
  

• Diffpd: Differentiable projective dynamics | TOG 2021
  Du, Tao, Wu, Kui, Ma, Pingchuan, Wah, Sebastien, et al.
  [Project]
  

• Fast and Feature-Complete Differentiable Physics Engine for Articulated Rigid Bodies with Contact Constraints | RSS 2021
  Keenon Werling AND Dalton Omens AND Jeongseok Lee AND Ioannis Exarchos AND C. Karen Liu
  [Paper] [DOI]
  

• High-order differentiable autoencoder for nonlinear model reduction | TOG 2021
  Shen, Siyuan, Yang, Yin, Shao, Tianjia, Wang, He, et al.
  [Paper] [DOI]
  

• Learning active quasistatic physics-based models from data | TOG 2021
  Srinivasan, Sangeetha Grama, Wang, Qisi, Rojas, Junior, Kl'ar, Gergely, et al.
  [Project]
  

• Learning contact corrections for handle-based subspace dynamics | TOG 2021
  Romero, Cristian, Casas, Dan, P'erez, Jes'us, Otaduy, Miguel
  [Project]
  

• Learning to Propagate Interaction Effects for Modeling Deformable Linear Objects Dynamics | ICRA 2021
  Yuxuan Yang, Johannes A. Stork, Todor Stoyanov
  [DOI] [Project]
  

• ADD: analytically differentiable dynamics for multi-body systems with frictional contact | TOG 2020
  Geilinger, Moritz, Hahn, David, Zehnder, Jonas, B"acher, Moritz, et al.
  [Paper] [DOI]
  

• Correspondence-Free Material Reconstruction using Sparse Surface Constraints | CVPR 2020
  Sebastian Weiß, Robert Maier, Daniel Cremers, Rüdiger Westermann, et al.
  [DOI] [Project]
  

• Real-time hair simulation with neural interpolation | TVCG 2020
  Lyu, Qing, Chai, Menglei, Chen, Xiang, Zhou, Kun
  [Paper]
  

• ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics | ICRA 2019
  Hu, Yuanming, Liu, Jiancheng, Spielberg, Andrew, Tenenbaum, Joshua B., et al.
  [Code] [DOI]
  

• Latent-space dynamics for reduced deformable simulation | CGF 2019
  Fulton, Lawson, Modi, Vismay, Duvenaud, David, Levin, David IW, et al.
  [Project]
  

• Real2Sim: visco-elastic parameter estimation from dynamic motion | TOG 2019
  Hahn, David, Banzet, Pol, Bern, James M., Coros, Stelian
  [Paper] [DOI]
  

• SoftCon: simulation and control of soft-bodied animals with biomimetic actuators | TOG 2019
  Min, Sehee, Won, Jungdam, Lee, Seunghwan, Park, Jungnam, et al.
  [Project] [DOI]
  

Rigidbody (38)

Methods for articulated rigid bodies, robotics, contact-rich motion, and rigid object dynamics.

• Efficient Differentiable Contact Model with Long-range Influence | ICLR 2026
  Xiaohan Ye, Kui Wu, Zherong Pan, Taku Komura
  [Paper] [DOI]
  

• Newton: An Open-Source, GPU-Accelerated Physics Simulation Engine Built upon NVIDIA Warp | 2025
  newton-physics contributors
  [Code]
  

• Painless Differentiable Rotation Dynamics | TOG 2025
  Magí Romanyà-Serrasolsas, Juan J. Casafranca, Miguel Á. Otaduy
  [DOI] [Project]
  

• Prof. Robot: Differentiable Robot Rendering Without Static and Self-Collisions | CVPR 2025
  Qi Ruan, Jiabao Lei, Wenhao Yuan, Yanglin Zhang, et al.
  [DOI]
  

• Estimating Material Properties of Interacting Objects Using Sum-GP-UCB | ICRA 2024
  M. Yunus Seker, Oliver Kroemer
  [DOI] [Project]
  

• Jade: A Differentiable Physics Engine for Articulated Rigid Bodies with Intersection-Free Frictional Contact | ICRA 2024
  Yang, Gang, Luo, Siyuan, Feng, Yunhai, Sun, Zhixin, et al.
  [Project]
  

• Soft Pneumatic Actuator Design using Differentiable Simulation | Siggraph 2024
  Arvi Gjoka, Espen Knoop, Moritz Bächer, Denis Zorin, et al.
  [DOI] [Project]
  

• An Extensible, Data-Oriented Architecture for High-Performance, Many-World Simulation | TOG 2023
  Shacklett, Brennan, Rosenzweig, Luc Guy, Xie, Zhiqiang, Sarkar, Bidipta, et al.
  [Project] [DOI]
  

• Differentiable Dynamics Simulation Using Invariant Contact Mapping and Damped Contact Force | ICRA 2023
  Minji Lee, Jeong Min Lee, Dongjun Lee
  [DOI]
  

• Differentiable Physics Simulation of Dynamics-Augmented Neural Objects | RA-L 2023
  Le Cleac'h, Simon, Yu, Hong-Xing, Guo, Michelle, Howell, Taylor A., et al.
  [DOI]
  

• DOC: Differentiable Optimal Control for Retargeting Motions onto Legged Robots | TOG 2023
  Grandia, Ruben, Farshidian, Farbod, Knoop, Espen, Schumacher, Christian, et al.
  [Paper] [DOI]
  

• Dynamic-Resolution Model Learning for Object Pile Manipulation | RSS 2023
  Yixuan Wang, Yunzhu Li, Katherine Driggs-Campbell, Li Fei-Fei, et al.
  [DOI] [Code]
  

• Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation | ICRA 2023
  Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, et al.
  [DOI]
  

• Neural Collision Fields for Triangle Primitives | Siggraph Asia 2023
  Zesch, Ryan S., Modi, Vismay, Sueda, Shinjiro, Levin, David I.W.
  [Paper] [DOI]
  

• RoboNinja: Learning an Adaptive Cutting Policy for Multi-Material Objects | RSS 2023
  Zhenjia Xu, Xian Zhou, Xingyu Lin, Cheng Chi, et al.
  [DOI]
  

• Vr-handnet: A visually and physically plausible hand manipulation system in virtual reality | TVCG 2023
  Han, DongHeun, Lee, RoUn, Kim, KyeongMin, Kang, HyeongYeop
  [Paper]
  

• Accelerated Policy Learning with Parallel Differentiable Simulation | Conference on Robot Learning (CoRL) 2022
  Jie Xu, Viktor Makoviychuk, Yashraj Narang, Fábio Ramos, et al.
  [Paper] [Project] [DOI]
  

• Dojo: A Differentiable Physics Engine for Robotics | Arxiv 2022
  Howell, Taylor, Le Cleac'h, Simon, Bruedigam, Jan, Kolter, Zico, et al.
  [Project]
  

• Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter | ICRA 2022
  Xibai Lou, Yang Yang, Changhyun Choi
  [DOI]
  

• Learning physical dynamics with subequivariant graph neural networks | NeurIPS 2022
  Han, Jiaqi, Huang, Wenbing, Ma, Hengbo, Li, Jiachen, et al.
  [Project]
  

• Learning physics constrained dynamics using autoencoders | NeurIPS 2022
  Yang, Tsung-Yen, Rosca, Justinian, Narasimhan, Karthik, Ramadge, Peter J
  [Paper]
  

• Physical Simulation Layer for Accurate 3D Modeling | CVPR 2022
  Mariem Mezghanni, Théo Bodrito, Malika Boulkenafed, Maks Ovsjanikov
  [DOI]
  

• Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation | ICRA 2022
  Eric Heiden, Christopher E. Denniston, David Millard, Fábio Ramos, et al.
  [DOI] [Project]
  

• SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning | ICRA 2022
  Jun Lv, Qiaojun Yu, Lin Shao, Wenhai Liu, et al.
  [DOI]
  

• Brax - A Differentiable Physics Engine for Large Scale Rigid Body Simulation | NeurIPS 2021
  C. Daniel Freeman, Erik Frey, Anton Raichuk, Sertan Girgin, et al.
  [Code]
  

• DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting | RSS 2021
  Eric Heiden, Miles Macklin, Yashraj Narang, Dieter Fox, et al.
  [DOI] [Project]
  

• Efficient Differentiable Simulation of Articulated Bodies | ICML 2021
  Qiao, Yi-Ling, Liang, Junbang, Koltun, Vladlen, Lin, Ming C.
  [Code]
  

• NeuralSim: Augmenting Differentiable Simulators with Neural Networks | ICRA 2021
  Heiden, Eric, Millard, David, Coumans, Erwin, Sheng, Yizhou, et al.
  [Code]
  

• NeuralSim: Augmenting Differentiable Simulators with Neural Networks | ICRA 2021
  Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, et al.
  [DOI] [Project]
  

• PyBullet, a Python module for physics simulation for games, robotics and machine learning | 2016--2021
  Erwin Coumans, Yunfei Bai
  [Project]
  

• Single-view robot pose and joint angle estimation via render & compare | CVPR 2021
  Labb'e, Yann, Carpentier, Justin, Aubry, Mathieu, Sivic, Josef
  [Project]
  

• The Role of Physics-Based Simulators in Robotics | ARCRAS 2021
  Liu, C. Karen, Negrut, Dan
  [DOI]
  

• Rl-cyclegan: Reinforcement learning aware simulation-to-real | CVPR 2020
  Rao, Kanishka, Harris, Chris, Irpan, Alex, Levine, Sergey, et al.
  [Paper]
  

• Scalable Differentiable Physics for Learning and Control | ICML 2020
  Qiao, Yi-Ling, Liang, Junbang, Koltun, Vladlen, Lin, Ming C.
  [Code]
  

• Use the force, luke! learning to predict physical forces by simulating effects | CVPR 2020
  Ehsani, Kiana, Tulsiani, Shubham, Gupta, Saurabh, Farhadi, Ali, et al.
  [Project]
  

• Drake: Model-based design and verification for robotics | 2019
  Russ Tedrake, the Drake Development Team
  [Project]
  

• Learning to fly: computational controller design for hybrid UAVs with reinforcement learning | TOG 2019
  Xu, Jie, Du, Tao, Foshey, Michael, Li, Beichen, et al.
  [Project] [DOI]
  

• MuJoCo: A physics engine for model-based control | IROS 2012
  Todorov, Emanuel, Erez, Tom, Tassa, Yuval
  [Project] [DOI]
  

Multiphys (13)

Papers that span multiple physical domains or focus on coupled systems and general simulation frameworks.

• Multiphysics Simulation Methods in Computer Graphics | CGF 2025
  Daniel Holz, Stefan Rhys Jeske, Fabian Löschner, Jan Bender, et al.
  [DOI] [Project]
  

• Stabilizing Reinforcement Learning in Differentiable Multiphysics Simulation | ICLR 2025
  Eliot Xing, Vernon Luk, Jean Oh
  [Paper] [Project]
  

• A Review of Differentiable Simulators | IEEE Access 2024
  R. Newbury, Jack Collins, Kerry He, Jiahe Pan, et al.
  [DOI] [Project]
  

• SoftMAC: Differentiable Soft Body Simulation with Forecast-based Contact Model and Two-way Coupling with Articulated Rigid Bodies and Clothes | IROS 2024
  Min Liu, Gang Yang, Siyuan Luo, Lin Shao
  [DOI] [Project]
  

• Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications | ICRA 2023
  Jeong Hun Lee, Mike Y. Michelis, Robert K. Katzschmann, Zachary Manchester
  [DOI] [Code]
  

• DiffFR: Differentiable SPH-Based Fluid-Rigid Coupling for Rigid Body Control | TOG 2023
  Li, Zhehao, Xu, Qingyu, Ye, Xiaohan, Ren, Bo, et al.
  [Project] [DOI]
  

• Learning neural constitutive laws from motion observations for generalizable pde dynamics | ICML 2023
  Ma, Pingchuan, Chen, Peter Yichen, Deng, Bolei, Tenenbaum, Joshua B, et al.
  [Project]
  

• MPMNet: A data-driven MPM framework for dynamic fluid-solid interaction | TVCG 2023
  Li, Jin, Gao, Yang, Dai, Ju, Li, Shuai, et al.
  [Paper]
  

• FishGym: A High-Performance Physics-based Simulation Framework for Underwater Robot Learning | ICRA 2022
  Wenji Liu, Kai Bai, Xuming He, Shuran Song, et al.
  [DOI] [Code]
  

• Differentiable Fluids with Solid Coupling for Learning and Control | AAAI 2021
  Takahashi, Tetsuya, Liang, Junbang, Qiao, Yi-Ling, Lin, Ming C.
  [Paper] [DOI]
  

• Differentiable Simulation | Siggraph Asia 2021
  Stelian Coros, Miles Macklin, Bernhard Thomaszewski, Nils Th"urey
  [DOI]
  

• NVIDIA SimNetTM: An AI-Accelerated Multi-Physics Simulation Framework | ICCS 2021
  Hennigh, Oliver, Narasimhan, Susheela, Nabian, Mohammad Amin, Subramaniam, Akshay, et al.
  [Paper]
  

• Learning to simulate complex physics with graph networks | ICML 2020
  Sanchez-Gonzalez, Alvaro, Godwin, Jonathan, Pfaff, Tobias, Ying, Rex, et al.
  [Project]
  

Tag Guide

Reader-facing tags used in the list for quick scanning and search.

Citation

If you find this repository helpful, please consider citing it!

@misc{wang2024awesomelist,
  title = {Awesome Neural Physics - A Curated List of Papers on AI Techniques for Physics Simulation in Computer Graphics},
  author = {Hui Wang},
  journal = {GitHub repository},
  url = {https://github.com/awesome-physics/awesome-neural-physics},
  year = {2026},
}