Implicit Neural Spatial Representations for Time-dependent PDEs

30 September 2022

Papers citing "Implicit Neural Spatial Representations for Time-dependent PDEs"

8 / 8 papers shown

Title
Shape Space Spectra Yue Chang Otman Benchekroun Maurizio M. Chiaramonte Peter Yichen Chen E. Grinspun 28 0 0 19 Aug 2024
Robust Biharmonic Skinning Using Geometric Fields Ana Dodik Vincent Sitzmann Justin Solomon Oded Stein 3DH 42 2 0 01 Jun 2024
Sequential-in-time training of nonlinear parametrizations for solving time-dependent partial differential equations Huan Zhang Yifan Chen Eric Vanden-Eijnden Benjamin Peherstorfer 31 2 0 01 Apr 2024
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields Yue Chang Peter Yichen Chen Zhecheng Wang Maurizio M. Chiaramonte Kevin Carlberg E. Grinspun AI4CE 18 7 0 24 Oct 2023
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 39 493 0 09 Feb 2021
$NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework$ NVIDIA SimNet^{TM}: an AI-accelerated multi-physics simulation framework O. Hennigh S. Narasimhan M. A. Nabian Akshay Subramaniam Kaustubh Tangsali M. Rietmann J. Ferrandis Wonmin Byeon Z. Fang S. Choudhry PINN AI4CE 91 126 0 14 Dec 2020
Fourier Neural Operator for Parametric Partial Differential Equations Zong-Yi Li Nikola B. Kovachki Kamyar Azizzadenesheli Burigede Liu K. Bhattacharya Andrew M. Stuart Anima Anandkumar AI4CE 203 2,281 0 18 Oct 2020
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 186 1,242 0 22 Jul 2020