SPNets: Differentiable Fluid Dynamics for Deep Neural Networks

15 June 2018

Papers citing "SPNets: Differentiable Fluid Dynamics for Deep Neural Networks"

34 / 34 papers shown

Title
DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction Qilong Ma Haixu Wu Lanxiang Xing Jianmin Wang Mingsheng Long AI4CE 26 0 0 04 Feb 2024
System Identification and Control of Front-Steered Ackermann Vehicles through Differentiable Physics B. M. Gonultas Pratik Mukherjee O. G. Poyrazoglu Volkan Isler 6 3 0 07 Aug 2023
SPONGE: Sequence Planning with Deformable-ON-Rigid Contact Prediction from Geometric Features Tran Minh Son Le Fares J. Abu-Dakka Ville Kyrki 31 1 0 24 Mar 2023
Exploring Physical Latent Spaces for High-Resolution Flow Restoration Chloé Paliard Nils Thuerey Kiwon Um AI4CE 15 0 0 21 Nov 2022
Guaranteed Conservation of Momentum for Learning Particle-based Fluid Dynamics L. Prantl Benjamin Ummenhofer V. Koltun Nils Thuerey AI4CE PINN 26 29 0 12 Oct 2022
Learning Pair Potentials using Differentiable Simulations Wujie Wang Zhenghao Wu Rafael Gómez-Bombarelli 17 23 0 16 Sep 2022
Wavelet-based Loss for High-frequency Interface Dynamics L. Prantl Jan Bender Tassilo Kugelstadt Nils Thuerey GAN 18 0 0 06 Sep 2022
Thermodynamics of learning physical phenomena Elías Cueto Francisco Chinesta AI4CE 23 22 0 26 Jul 2022
Transformer with Implicit Edges for Particle-based Physics Simulation Yidi Shao Chen Change Loy Bo Dai 16 15 0 22 Jul 2022
Control of Two-way Coupled Fluid Systems with Differentiable Solvers B. Ramos Felix Trost Nils Thuerey AI4CE 9 5 0 01 Jun 2022
Differentiable solver for time-dependent deformation problems with contact Zizhou Huang Davi C. Tozoni Arvi Gjoka Z. Ferguson T. Schneider Daniele Panozzo Denis Zorin AI4CE 21 18 0 26 May 2022
DiffSkill: Skill Abstraction from Differentiable Physics for Deformable Object Manipulations with Tools Xingyu Lin Zhiao Huang Yunzhu Li J. Tenenbaum David Held Chuang Gan 20 72 0 31 Mar 2022
Differentiable Robotic Manipulation of Deformable Rope-like Objects Using Compliant Position-based Dynamics Fei Liu Entong Su Jingpei Lu Ming Li Michael C. Yip AI4CE 16 8 0 20 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
Parameter Identification and Motion Control for Articulated Rigid Body Robots Using Differentiable Position-based Dynamics Fei Liu Ming Li Jingpei Lu Entong Su Michael C. Yip AI4CE 19 6 0 15 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
DQC: a Python program package for Differentiable Quantum Chemistry M. F. Kasim S. Lehtola S. Vinko 13 34 0 22 Oct 2021
Direct Prediction of Steady-State Flow Fields in Meshed Domain with Graph Networks Lukas Harsch S. Riedelbauch AI4CE 55 12 0 06 May 2021
Transferable Model for Shape Optimization subject to Physical Constraints Lukas Harsch Johannes Burgbacher S. Riedelbauch AI4CE 21 1 0 19 Mar 2021
Teaching the Incompressible Navier-Stokes Equations to Fast Neural Surrogate Models in 3D Nils Wandel Michael Weinmann Reinhard Klein AI4CE 23 50 0 22 Dec 2020
Trajectory Prediction using Equivariant Continuous Convolution Robin G. Walters Jinxi Li Rose Yu 21 43 0 21 Oct 2020
Autonomous Robotic Suction to Clear the Surgical Field for Hemostasis using Image-based Blood Flow Detection Florian Richter Shihao Shen Fei Liu Jingbin Huang E. Funk Ryan K. Orosco Michael C. Yip OOD 13 37 0 16 Oct 2020
Smoothed Particle Hydrodynamics Techniques for the Physics Based Simulation of Fluids and Solids Dan Koschier Jan Bender B. Solenthaler M. Teschner AI4CE 22 84 0 15 Sep 2020
Combining Differentiable PDE Solvers and Graph Neural Networks for Fluid Flow Prediction Filipe de Avila Belbute-Peres T. Economon J. Zico Kolter AI4CE 22 223 0 08 Jul 2020
Learning Physical Constraints with Neural Projections Shuqi Yang Xingzhe He Bo Zhu 3DV AI4CE 20 25 0 23 Jun 2020
Learning to Slide Unknown Objects with Differentiable Physics Simulations Changkyu Song Abdeslam Boularias 25 38 0 11 May 2020
Identifying Mechanical Models through Differentiable Simulations Changkyu Song Abdeslam Boularias 6 12 0 11 May 2020
Lagrangian Neural Style Transfer for Fluids Byungsoo Kim Vinicius Azevedo Markus Gross B. Solenthaler 28 37 0 02 May 2020
Differentiable Molecular Simulations for Control and Learning Wujie Wang Simon Axelrod Rafael Gómez-Bombarelli AI4CE 100 49 0 27 Feb 2020
Learning to Control PDEs with Differentiable Physics Philipp Holl V. Koltun Nils Thuerey AI4CE PINN 32 185 0 21 Jan 2020
A Review of Robot Learning for Manipulation: Challenges, Representations, and Algorithms Oliver Kroemer S. Niekum G. Konidaris 22 355 0 06 Jul 2019
Learning Particle Dynamics for Manipulating Rigid Bodies, Deformable Objects, and Fluids Yunzhu Li Jiajun Wu Russ Tedrake J. Tenenbaum Antonio Torralba PINN AI4CE 27 387 0 03 Oct 2018
Interaction Networks for Learning about Objects, Relations and Physics Peter W. Battaglia Razvan Pascanu Matthew Lai Danilo Jimenez Rezende Koray Kavukcuoglu AI4CE OCL PINN GNN 278 1,400 0 01 Dec 2016
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 521 0 21 Sep 2016