Learning to Control PDEs with Differentiable Physics

21 January 2020

Papers citing "Learning to Control PDEs with Differentiable Physics"

50 / 120 papers shown

Title
Neuro-symbolic partial differential equation solver Pouria A. Mistani Samira Pakravan Rajesh Ilango S. Choudhry Frédéric Gibou 26 1 0 25 Oct 2022
JAX-DIPS: Neural bootstrapping of finite discretization methods and application to elliptic problems with discontinuities Pouria A. Mistani Samira Pakravan Rajesh Ilango Frédéric Gibou 16 8 0 25 Oct 2022
DaXBench: Benchmarking Deformable Object Manipulation with Differentiable Physics Siwei Chen Yiqing Xu Cunjun Yu Linfeng Li Xiao Ma Zhongwen Xu David Hsu AI4CE 15 16 0 24 Oct 2022
NeuPhysics: Editable Neural Geometry and Physics from Monocular Videos Yi-Ling Qiao Alexander Gao Ming-Chyuan Lin 3DH 74 38 0 22 Oct 2022
FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities Takashi Matsubara Takaharu Yaguchi PINN 14 7 0 01 Oct 2022
Training Efficient Controllers via Analytic Policy Gradient Nina Wiedemann Valentin Wüest Antonio Loquercio M. Müller Dario Floreano Davide Scaramuzza OffRL 19 17 0 26 Sep 2022
Liquid Structural State-Space Models Ramin Hasani Mathias Lechner Tsun-Hsuan Wang Makram Chahine Alexander Amini Daniela Rus AI4TS 101 95 0 26 Sep 2022
Differentiable Programming for Earth System Modeling Maximilian Gelbrecht Alistair J R White S. Bathiany Niklas Boers 19 16 0 29 Aug 2022
j-Wave: An open-source differentiable wave simulator A. Stanziola Simon Arridge B. Cox B. Treeby VLM 33 21 0 30 Jun 2022
Learning to Accelerate Partial Differential Equations via Latent Global Evolution Tailin Wu Takashi Maruyama J. Leskovec AI4CE 31 28 0 15 Jun 2022
Unsupervised Discovery of Inertial-Fusion Plasma Physics using Differentiable Kinetic Simulations and a Maximum Entropy Loss Function A. Joglekar Alec G. R. Thomas 19 6 0 03 Jun 2022
Learning to Solve PDE-constrained Inverse Problems with Graph Networks Qingqing Zhao David B. Lindell Gordon Wetzstein AI4CE 36 40 0 01 Jun 2022
Control of Two-way Coupled Fluid Systems with Differentiable Solvers B. Ramos Felix Trost Nils Thuerey AI4CE 9 5 0 01 Jun 2022
RoboCraft: Learning to See, Simulate, and Shape Elasto-Plastic Objects with Graph Networks Haochen Shi Huazhe Xu Zhiao Huang Yunzhu Li Jiajun Wu 19 59 0 05 May 2022
Differentiable Simulation of Soft Multi-body Systems Yi-Ling Qiao Junbang Liang V. Koltun Ming-Chyuan Lin AI4CE 16 40 0 03 May 2022
Leveraging Stochastic Predictions of Bayesian Neural Networks for Fluid Simulations Maximilian Mueller Robin Greif Frank Jenko Nils Thuerey 22 3 0 02 May 2022
A posteriori learning for quasi-geostrophic turbulence parametrization Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 22 56 0 08 Apr 2022
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning Chuizheng Meng Sungyong Seo Defu Cao Sam Griesemer Yan Liu PINN AI4CE 36 55 0 31 Mar 2022
Half-Inverse Gradients for Physical Deep Learning Patrick Schnell Philipp Holl Nils Thuerey 8 7 0 18 Mar 2022
Simulating Liquids with Graph Networks Jonathan Klimesch Philipp Holl Nils Thuerey GNN AI4CE 19 8 0 14 Mar 2022
Learned Turbulence Modelling with Differentiable Fluid Solvers: Physics-based Loss-functions and Optimisation Horizons Bjorn List Li-Wei Chen Nils Thuerey 21 55 0 14 Feb 2022
AD-NEGF: An End-to-End Differentiable Quantum Transport Simulator for Sensitivity Analysis and Inverse Problems Ying Zhou Xiang Chen Peng Zhang Jun Wang Lei Wang Hongfeng Guo 18 1 0 10 Feb 2022
Deep Neural Networks to Correct Sub-Precision Errors in CFD Akash Haridas N. R. Vadlamani Y. Minamoto 13 4 0 09 Feb 2022
Learning Similarity Metrics for Volumetric Simulations with Multiscale CNNs Georg Kohl Li-Wei Chen Nils Thuerey 23 0 0 08 Feb 2022
Learning to Simulate Unseen Physical Systems with Graph Neural Networks Ce Yang Weihao Gao Di Wu Chong-Jun Wang PINN AI4CE 14 4 0 28 Jan 2022
Pseudo-Differential Neural Operator: Generalized Fourier Neural Operator for Learning Solution Operators of Partial Differential Equations J. Shin Jae Yong Lee H. Hwang 16 2 0 28 Jan 2022
Control of Dual-Sourcing Inventory Systems using Recurrent Neural Networks Lucas Böttcher Thomas Asikis I. Fragkos BDL 16 10 0 16 Jan 2022
SAGCI-System: Towards Sample-Efficient, Generalizable, Compositional, and Incremental Robot Learning Jun Lv Qiaojun Yu Lin Shao Wenhai Liu Wenqiang Xu Cewu Lu 27 24 0 29 Nov 2021
A posteriori learning of quasi-geostrophic turbulence parametrization: an experiment on integration steps Hugo Frezat Julien Le Sommer Ronan Fablet G. Balarac Redouane Lguensat 28 2 0 12 Nov 2021
A research framework for writing differentiable PDE discretizations in JAX A. Stanziola Simon Arridge B. Cox B. Treeby 24 8 0 09 Nov 2021
Solving PDE-constrained Control Problems Using Operator Learning Rakhoon Hwang Jae Yong Lee J. Shin H. Hwang AI4CE 109 43 0 09 Nov 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations Rishikesh Ranade C. Hill Haiyang He Amir Maleki Norman Chang Jay Pathak AI4CE 41 6 0 07 Oct 2021
Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models M. Lutter Jan Peters PINN AI4CE 31 39 0 05 Oct 2021
Differentiable Spline Approximations Minsu Cho Aditya Balu Ameya Joshi Anjana Prasad Biswajit Khara S. Sarkar Baskar Ganapathysubramanian A. Krishnamurthy C. Hegde 17 4 0 04 Oct 2021
Scale-invariant Learning by Physics Inversion Philipp Holl V. Koltun Nils Thuerey PINN AI4CE 21 8 0 30 Sep 2021
Efficient Differentiable Simulation of Articulated Bodies Yi-Ling Qiao Junbang Liang V. Koltun Ming Lin AI4CE 32 54 0 16 Sep 2021
Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils Li-Wei Chen Nils Thuerey AI4CE 26 9 0 05 Sep 2021
Physics-Guided Deep Learning for Dynamical Systems: A Survey Rui Wang Rose Yu AI4CE PINN 39 64 0 02 Jul 2021
Causal Navigation by Continuous-time Neural Networks Charles J. Vorbach Ramin Hasani Alexander Amini Mathias Lechner Daniela Rus 26 47 0 15 Jun 2021
Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling Niv Giladi Z. Ben-Haim Sella Nevo Yossi Matias Daniel Soudry AI4CE 13 8 0 14 Jun 2021
DiffCloth: Differentiable Cloth Simulation with Dry Frictional Contact Yifei Li Tao Du Kui Wu Jie Xu Wojciech Matusik 22 90 0 09 Jun 2021
Deep Bayesian Active Learning for Accelerating Stochastic Simulation D. Wu Ruijia Niu Matteo Chinazzi Alessandro Vespignani Yi-An Ma Rose Yu AI4CE 27 8 0 05 Jun 2021
Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting Stephan Thaler J. Zavadlav 17 66 0 02 Jun 2021
Global Transport for Fluid Reconstruction with Learned Self-Supervision Erik Franz B. Solenthaler Nils Thuerey 25 26 0 13 Apr 2021
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics Zhiao Huang Yuanming Hu Tao Du Siyuan Zhou Hao Su J. Tenenbaum Chuang Gan AI4CE 20 127 0 07 Apr 2021
A Latent space solver for PDE generalization Rishikesh Ranade C. Hill Haiyang He Amir Maleki Jay Pathak AI4CE 14 4 0 06 Apr 2021
DiffAqua: A Differentiable Computational Design Pipeline for Soft Underwater Swimmers with Shape Interpolation Pingchuan Ma Tao Du John Z. Zhang Kui Wu Andrew Spielberg Robert K. Katzschmann Wojciech Matusik 41 37 0 02 Apr 2021
Fast and Feature-Complete Differentiable Physics for Articulated Rigid Bodies with Contact Keenon Werling Dalton Omens Jeongseok Lee Ionnis Exarchos C. Karen Liu PINN 16 80 0 30 Mar 2021
Learning optimal multigrid smoothers via neural networks Ru Huang Ruipeng Li Yuanzhe Xi AI4CE 16 27 0 24 Feb 2021
NTopo: Mesh-free Topology Optimization using Implicit Neural Representations Jonas Zehnder Yue Li Stelian Coros B. Thomaszewski AI4CE 14 58 0 22 Feb 2021