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2204.12584
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Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models
30 March 2022
Elvis Nava
John Z. Zhang
M. Michelis
Tao Du
Pingchuan Ma
Benjamin Grewe
Wojciech Matusik
Robert K. Katzschmann
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Papers citing
"Fast Aquatic Swimmer Optimization with Differentiable Projective Dynamics and Neural Network Hydrodynamic Models"
4 / 4 papers shown
Title
Physics-aware Machine Learning Revolutionizes Scientific Paradigm for Machine Learning and Process-based Hydrology
Qingsong Xu
Yilei Shi
Jonathan Bamber
Ye Tuo
Ralf Ludwig
Xiao Xiang Zhu
AI4CE
37
10
0
08 Oct 2023
Aquarium: A Fully Differentiable Fluid-Structure Interaction Solver for Robotics Applications
Jeonghoon Lee
M. Michelis
Robert K. Katzschmann
Zachary Manchester
27
4
0
17 Jan 2023
Spline-PINN: Approaching PDEs without Data using Fast, Physics-Informed Hermite-Spline CNNs
Nils Wandel
Michael Weinmann
Michael Neidlin
Reinhard Klein
AI4CE
58
60
0
15 Sep 2021
Flow Navigation by Smart Microswimmers via Reinforcement Learning
S. Colabrese
K. Gustavsson
A. Celani
Luca Biferale
38
156
0
30 Jan 2017
1