GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward
non-intrusive Meta-learning of parametric PDEs

GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs

27 March 2023

Papers citing "GPT-PINN: Generative Pre-Trained Physics-Informed Neural Networks toward non-intrusive Meta-learning of parametric PDEs"

13 / 13 papers shown

Title
BO-SA-PINNs: Self-adaptive physics-informed neural networks based on Bayesian optimization for automatically designing PDE solvers Rui Zhang Liang Li Stéphane Lanteri Hao Kang Jiaqi Li 38 0 0 14 Apr 2025
Adaptive Physics-informed Neural Networks: A Survey Edgar Torres Jonathan Schiefer Mathias Niepert PINN AI4CE 63 0 0 23 Mar 2025
Meta-learning Loss Functions of Parametric Partial Differential Equations Using Physics-Informed Neural Networks Michail Koumpanakis Ricardo Vilalta AI4CE 83 0 0 29 Nov 2024
Enhanced physics-informed neural networks (PINNs) for high-order power grid dynamics Vineet Jagadeesan Nair PINN 38 0 0 10 Oct 2024
Principle Driven Parameterized Fiber Model based on GPT-PINN Neural Network Yubin Zang Boyu Hua Zhenzhou Tang Zhipeng Lin Fangzheng Zhang Simin Li Zuxing Zhang Hongwei Chen 37 0 0 19 Aug 2024
Fiber Transmission Model with Parameterized Inputs based on GPT-PINN Neural Network Yubin Zang Boyu Hua Zhipeng Lin Fangzheng Zhang Simin Li Zuxing Zhang Hongwei Chen 32 0 0 19 Aug 2024
Spectral-Refiner: Accurate Fine-Tuning of Spatiotemporal Fourier Neural Operator for Turbulent Flows Shuhao Cao Francesco Brarda Ruipeng Li Yuanzhe Xi 44 1 0 27 May 2024
TGPT-PINN: Nonlinear model reduction with transformed GPT-PINNs Yanlai Chen Yajie Ji A. Narayan Zhenli Xu PINN 32 2 0 06 Mar 2024
Resolution invariant deep operator network for PDEs with complex geometries Jianguo Huang Yue Qiu 25 0 0 01 Feb 2024
AcademicGPT: Empowering Academic Research Shufa Wei Xiaolong Xu Xianbiao Qi Xi Yin Jun Xia ... Chihao Dai Lihua Wang Xiaohui Liu Lei Zhang Yutao Xie LM&MA 39 3 0 21 Nov 2023
LatentPINNs: Generative physics-informed neural networks via a latent representation learning M. H. Taufik T. Alkhalifah AI4CE DiffM 41 4 0 11 May 2023
Meta-learning PINN loss functions Apostolos F. Psaros Kenji Kawaguchi George Karniadakis PINN 41 97 0 12 Jul 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 332 11,684 0 09 Mar 2017