Efficient physics-informed neural networks using hash encoding

26 February 2023

Papers citing "Efficient physics-informed neural networks using hash encoding"

8 / 8 papers shown

Title
Gabor-Enhanced Physics-Informed Neural Networks for Fast Simulations of Acoustic Wavefields Mohammad Mahdi Abedi David Pardo Tariq Alkhalifah 49 1 0 24 Feb 2025
Machine learning for modelling unstructured grid data in computational physics: a review Sibo Cheng Marc Bocquet Weiping Ding Tobias S. Finn Rui Fu ... Yong Zeng Mingrui Zhang Hao Zhou Kewei Zhu Rossella Arcucci PINN AI4CE 114 0 0 13 Feb 2025
Accelerated Training of Physics-Informed Neural Networks (PINNs) using Meshless Discretizations Ramansh Sharma Varun Shankar 35 40 0 19 May 2022
PINNup: Robust neural network wavefield solutions using frequency upscaling and neuron splitting Xinquan Huang T. Alkhalifah 35 45 0 29 Sep 2021
On the eigenvector bias of Fourier feature networks: From regression to solving multi-scale PDEs with physics-informed neural networks Sifan Wang Hanwen Wang P. Perdikaris 131 438 0 18 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 205 2,282 0 18 Oct 2020
Neural Sparse Voxel Fields Lingjie Liu Jiatao Gu Kyaw Zaw Lin Tat-Seng Chua Christian Theobalt 191 1,242 0 22 Jul 2020
Local Implicit Grid Representations for 3D Scenes C. Jiang Avneesh Sud A. Makadia Jingwei Huang Matthias Nießner Thomas Funkhouser 3DPC 237 558 0 19 Mar 2020