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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)

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]
    Neural Representation

  • 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]
    Neural Solver

  • 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]
    Neural Solver Transformer

  • 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]
    Differentiable Simulation

  • FlowCapX: Physics-Grounded Flow Capture with Long-Term Consistency | CGF 2025
    N. Tao, L. Zhang, Xingyu Ni, Mengyu Chu, et al.
    [DOI] [Code]
    Reconstruction Real2Sim Fluid Reconstruction

  • 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]
    Reconstruction Real2Sim Fluid Reconstruction

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

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

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

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

  • Dynamic ocean inverse modeling based on differentiable rendering | CVM 2024
    Xie, Xueguang, Gao, Yang, Hou, Fei, Hao, Aimin, et al.
    [Paper]
    Differentiable Simulation Reconstruction Real2Sim Fluid Reconstruction

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

  • Gaussian Splashing: Dynamic Fluid Synthesis with Gaussian Splatting | Arxiv 2024
    Yutao Feng, Xiang Feng, Yintong Shang, Ying Jiang, et al.
    [Project]
    NeRF 3DGS

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

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

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

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

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

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

  • 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]
    Reconstruction Fluid Reconstruction

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

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

  • 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]
    Neural Solver GNN

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

  • 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]
    Differentiable Simulation

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

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

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

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

  • Inferring Hybrid Neural Fluid Fields from Videos | NeurIPS 2023
    Yu, Hong-Xing, Zheng, Yang, Gao, Yuan, Deng, Yitong, et al.
    [Paper] [Project]
    Neural Solver Reconstruction Real2Sim Fluid Reconstruction

  • Interactive design of 2D car profiles with aerodynamic feedback | CGF 2023
    Nicolas Rosset, Guillaume Cordonnier, Régis Duvigneau, Adrien Bousseau
    [DOI] [Project]
    Neural Solver Neural Representation Shape Design User Interaction

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

  • Learning Vortex Dynamics for Fluid Inference and Prediction | ICLR 2023
    Yitong Deng, Hong-Xing Yu, Jiajun Wu, Bo Zhu
    [Code]
    Differentiable Simulation Neural Solver Neural Representation Reconstruction Real2Sim Fluid Reconstruction

  • 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 Representation Fracture Neural Field

  • 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]
    Neural Solver

  • 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]
    Differentiable Simulation Reconstruction Real2Sim Fluid Reconstruction Parameter Estimation NeRF

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

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

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

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

  • ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation | RSS 2022
    Bokui Shen, Zhenyu Jiang, Christopher Choy, Silvio Savarese, et al.
    [DOI]
    Neural Solver Reconstruction Embodied AI Real2Sim Fluid Reconstruction

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

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

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

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

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

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

  • Physics informed neural fields for smoke reconstruction with sparse data | TOG 2022
    Chu, Mengyu, Liu, Lingjie, Zheng, Quan, Franz, Erik, et al.
    [Project] [DOI]
    Neural Representation Reconstruction Real2Sim Fluid Reconstruction NeRF

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

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

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

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

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

  • 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]
    Differentiable Simulation Control Embodied AI Fluid Control

  • 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]
    Super Resolution

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

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

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

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

  • Dynamic fluid surface reconstruction using deep neural network | CVPR 2020
    Thapa, Simron, Li, Nianyi, Ye, Jinwei
    [Project]
    Reconstruction Real2Sim Fluid Reconstruction

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

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

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

  • 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]
    Neural Representation CNN

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

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

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

  • Tomofluid: Reconstructing dynamic fluid from sparse view videos | CVPR 2020
    Zang, Guangming, Idoughi, Ramzi, Wang, Congli, Bennett, Anthony, et al.
    [Paper]
    Reconstruction Real2Sim Fluid Reconstruction

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

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

  • 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]
    Reconstruction Real2Sim Fluid Reconstruction

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

  • Video-guided real-to-virtual parameter transfer for viscous fluids | TOG 2019
    Takahashi, Tetsuya, Lin, Ming C.
    [Project] [DOI]
    Reconstruction Real2Sim Fluid Reconstruction Material Estimation

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

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

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

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

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

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

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

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]
    Differentiable Simulation Optimization Avatar

  • 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]
    Differentiable Simulation Reconstruction Avatar Real2Sim

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

  • 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]
    Reconstruction Embodied AI Real2Sim Cloth Reconstruction

  • PICA: Physics-Integrated Clothed Avatar | TVCG 2025
    Bo Peng, Yunfan Tao, Haoyu Zhan, Yudong Guo, et al.
    [DOI] [Project] [DOI]
    Avatar 3DGS GNN

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

  • Bayesian Differentiable Physics for Cloth Digitalization | CVPR 2024
    Deshan Gong, Ningtao Mao, He Wang
    [Code]
    Reconstruction Real2Sim Cloth Reconstruction Parameter Estimation

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

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

  • 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]
    Neural Solver

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