PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural
Networks

PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks

21 July 2023

Xueying Ding

Papers citing "PINNsFormer: A Transformer-Based Framework For Physics-Informed Neural Networks"

9 / 9 papers shown

Title
Always Skip Attention Yiping Ji Hemanth Saratchandran Peyman Moghaddam Simon Lucey 184 0 0 04 May 2025
Unraveling particle dark matter with Physics-Informed Neural Networks M.P. Bento H.B. Câmara J.F. Seabra 67 0 0 24 Feb 2025
SetPINNs: Set-based Physics-informed Neural Networks Mayank Nagda Phil Ostheimer Thomas Specht Frank Rhein Fabian Jirasek Stephan Mandt Marius Kloft Sophie Fellenz 3DPC PINN 46 0 0 30 Sep 2024
Cauchy activation function and XNet Xin Li Zhihong Xia Hongkun Zhang 48 4 0 28 Sep 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks Youngsik Hwang Dong-Young Lim AI4CE 38 2 0 27 Sep 2024
Architectural Strategies for the optimization of Physics-Informed Neural Networks Hemanth Saratchandran Shin-Fang Chng Simon Lucey AI4CE 39 0 0 05 Feb 2024
Physics-informed neural networks with hard constraints for inverse design Lu Lu R. Pestourie Wenjie Yao Zhicheng Wang F. Verdugo Steven G. Johnson PINN 50 494 0 09 Feb 2021
Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting Haoyi Zhou Shanghang Zhang J. Peng Shuai Zhang Jianxin Li Hui Xiong Wan Zhang AI4TS 169 3,900 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 247 2,298 0 18 Oct 2020