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

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

21 July 2023

Xueying Ding

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

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Title
Hierarchical-embedding autoencoder with a predictor (HEAP) as efficient architecture for learning long-term evolution of complex multi-scale physical systems Alexander Khrabry Edward Startsev Andrew Powis Igor Kaganovich AI4CE 87 0 0 24 May 2025
Mollifier Layers: Enabling Efficient High-Order Derivatives in Inverse PDE Learning Ananyae Kumar Bhartari Vinayak Vinayak Vivek B Shenoy AI4CE 208 0 0 16 May 2025
Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models Congcong Zhu Xiaoyan Xu Jiayue Han Jingrun Chen OOD AI4CE 146 0 0 16 May 2025
Always Skip Attention Yiping Ji Hemanth Saratchandran Peyman Moghaddam Simon Lucey 453 3 0 04 May 2025
Unraveling particle dark matter with Physics-Informed Neural Networks M.P. Bento H.B. Câmara J.F. Seabra 140 0 0 24 Feb 2025
Sub-Sequential Physics-Informed Learning with State Space Model Chenhui Xu Dancheng Liu Yuting Hu Jiajie Li Ruiyang Qin Qingxiao Zheng Jinjun Xiong AI4CE PINN 472 1 0 01 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 PINN 3DPC 198 1 0 30 Sep 2024
Cauchy activation function and XNet Xin Li Zhihong Xia Hongkun Zhang 187 6 0 28 Sep 2024
Dual Cone Gradient Descent for Training Physics-Informed Neural Networks Youngsik Hwang Dong-Young Lim AI4CE 117 3 0 27 Sep 2024
RoPINN: Region Optimized Physics-Informed Neural Networks Haixu Wu Huakun Luo Yuezhou Ma Jianmin Wang Mingsheng Long AI4CE 73 9 0 23 May 2024
Enhancing Multiscale Simulations with Constitutive Relations-Aware Deep Operator Networks Hamidreza Eivazi Mahyar Alikhani Jendrik-Alexander Tröger Stefan H. A. Wittek Stefan Hartmann Andreas Rausch AI4CE 57 0 0 22 May 2024