Overview

Differentiable physics studies how to compute gradients through simulations of systems such as rigid-body contact, deformable materials, fluids, and chemical processes. Common approaches differentiate numerical solvers with automatic differentiation, adjoints, or implicit differentiation, and combine FEM, MPM, or PDE solvers with learned models; smoothing is often used for contacts and discrete events. These gradients support inverse problems, where observations are used to infer physical parameters, as well as trajectory optimization and control in settings such as robot manipulation and fluid engineering. GPU acceleration is making larger simulations practical, but gradients can still be unreliable around contact and other discontinuities, and speed must be balanced against physical fidelity and numerical stability.

Latest papers

CardsList

66 papers14 papers in the last four weeks, up 100% on the four weeks before. 0.1% of all new papers.

  1. Differentiable Contact Dynamics for Legged Locomotion: Policy Learning and Contact-Implicit Trajectory Optimization

    Oct 26, 2026Gijeong Kim, Seungbin Oh, Dongyun Kang +1Differentiable PhysicsTrajectory Optimization

  2. CQDC-Warp: GPU-Accelerated Differentiable Quasi-Dynamic Simulation for Contact-Rich Manipulation

    Oct 15, 2026Yanchen Ding, Jiayi Chen, Jianfeng Xu +3Contact-Rich Robotic ManipulationTrajectory Optimization

  3. DiffGIPC: Differentiable Mixed-Coordinate Contact Dynamics on GPU

    Oct 13, 2026Kemeng Huang, Bowen Ren, Xinyu Lu +2Differentiable PhysicsInverse Problems

  4. TorchSpin: Differentiable Electron Paramagnetic Resonance Simulation in PyTorch

    Oct 12, 2026Alec H. FollmerMagnetic Resonance SpectroscopyDifferentiable Physics

  5. Observation-Referenced Tissue Deformation Forecasting with Tool-Driven and Residual Dynamics

    Oct 9, 2026Tom Olesch, Nan Xiao, Xiongye Xiao +2Deformable Object SimulationSurgical Robotics

  6. A Physics-Informed Collision Learning Framework for Collaborative Robot Motion Generation

    Oct 8, 2026Chen Cai, Steven LiuRobot Collision AvoidanceRobot Motion Generation

  7. UWB Meets Crazyflow: Simulating Degraded Feedback at Scale for Aerial Robotics

    Oct 6, 2026Martin Schuck, Marcel P. Rath, Yufei Hua +3Aerial RoboticsRobotics Simulation

  8. DexForge: High-Fidelity Physics-Informed Dexterous Retargeting

    Oct 5, 2026Meizhong Wang, Kun Cao, Ruiqi Ni +2Contact-Rich Robotic ManipulationMotion Retargeting

  9. An End-to-End Framework for Modelling Pneumatic Soft Robots Based on Differentiable Finite Element Methods

    Oct 3, 2026Shaohong Zhong, Yao Yao, Perla Maiolino +1Soft RoboticsRobot Dynamics Identification

  10. On the Numerical Reliability of Differentiable Physics-Based Optimization for Robotic Material Manipulation

    Sep 28, 2026Xintong Yang, Minglun Wei, Yu-Kun Lai +1Robot Dynamics IdentificationMaterial Point Method

  11. Differentiable Dynamics for Autonomous Micro-Mobility Navigation

    Sep 25, 2026Grace Cai, Joey Lee, Nithin Parepally +2Vehicle DynamicsDifferentiable Physics

  12. Bundled Contact Gradients: Stabilizing Differentiable Simulation for Deployable Dynamic Tasks

    Sep 25, 2026Dyuman Aditya, Jin Cheng, Clemens Schwarke +4Robotics SimulationDifferentiable Physics

  13. CraftSPH: A composable framework for differentiable smoothed particle hydrodynamics implemented in PyTorch

    Sep 24, 2026Gen Matono, Shujiro Fujioka, Mayuko NishioComputational Fluid DynamicsDifferentiable Physics

  14. Adapting Rigid-Body Dynamics Derivatives for Constraint Embedding Closed-Chain Models

    Sep 17, 2026Daniel J. Volpi, Patrick M. WensingMultibody DynamicsDifferentiable Physics

  15. Benchmarking Optimizers to Solve Inverse Problems with Differentiable Physics Simulators

    Sep 12, 2026Xiang Chen, Huanhuan XiaDifferentiable OptimizationInverse Problems

  16. Ostrich: Taking Large Strides Through Stiff Contact in Differentiable Dynamics

    Sep 8, 2026Aleš Kučera, Karel ZimmermannTrajectory OptimizationContact-Rich Manipulation

  17. Differentiable Hybrid Modelling for Learning and Optimising Chemical Transport Processes from Experimental Data

    Sep 3, 2026Arthur Jessop, Mohammed Alsubeihi, Ben Moseley +1Differentiable PhysicsDifferentiable Optimization

  18. From Numerical Simulators of PDEs to Neural Emulators and Back

    Aug 25, 2026Felix KoehlerPDE Surrogate ModelingPDE Solving

  19. Differentiate the Solver, Not the Equation: Reverse-Sweep Adjoints for Block Implicit Simulation

    Aug 9, 2026Lei Shu, Ying Jiang, Kui Wu +3Automatic DifferentiationDifferentiable Programming

  20. SoRoMoX: Fast, Differentiable, and Parallelizable Soft Robot Models

    Aug 6, 2026Maximilian Stölzle, Solange Gribonval, Daniel Feliu-Talegon +9Differentiable PhysicsContinuum Robot Control

  21. BendTwin: Robust Dense-to-Sparse Physical Reconstruction with Bending-Aware Differentiable Spring-Mass Models

    Aug 6, 2026Yixiong Jing, Qi Wang, Lin Chen +6Structural MechanicsSparse-View 3D Reconstruction

  22. Wearing A Coat: Dual-Arm Robot-Assisted Dressing with Differentiable Clothing Simulation

    Jul 13, 2026Yiming Liu, Lijun Han, Hesheng WangContact-Rich Robotic ManipulationAssistive Robotics

  23. Microcosmos: Reimagining Artificial Life for the GPU Era

    Jul 3, 2026Mark Tensen, Ciaran Regan, Bert Wang-Chak Chan +3Artificial LifeDifferentiable Physics

  24. Mosaic: A Benchmark Suite for Differentiable Physics Solvers

    Jun 26, 2026Andrin Rehmann, Heiko Zimmermann, Dion HäfnerAutomatic DifferentiationPDE Solving