physics-informed-learning

#计算机科学#A library for scientific machine learning and physics-informed learning

#计算机科学#Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

physics-informed neural network for elastodynamics problem

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

#计算机科学#Generative Pre-Trained Physics-Informed Neural Networks Implementation

Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.

NVFi in PyTorch (NeurIPS 2023)

Physics-informed deep super-resolution of spatiotemporal data

Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs

Source code for Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning

#计算机科学#Official Implementation of Integrating Physics-Informed Vectors for Improved Wind Speed Forecasting with Neural Networks

Code for the NeurIPS 2021 paper "Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features"

#计算机科学#Official imprementation of the paper "A general deep learning method for computing molecular parameters of viscoelastic constitutive model by solving an inverse problem"