PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)

Physics-informed refinement learning for equation discovery

Navier-Stokes oil dynamics in a rectangular 3D tank, physics-informed neural network approach

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

This repository is the implementation of the paper "A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems"

Physics-based machine learning with dynamic Boltzmann distributions

Rheology-informed Machine Learning Projects

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn

PINEURODEs is a repository collecting CMS group research work on the application of neural (stochastic/ordinary) differential equations and physically-informed neural networks to model complex multiscale systems.

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

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

Sunwoda Electronic Co., Ltd, and Tsinghua Berkeley Shenzhen Institute (TBSI) generate the TBSI Sunwoda Battery Dataset. We open-source this dataset to inspire more data-driven novel material verification, battery management research and applications.

Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning

Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. To appear in the Proceedings of the Royal Society A.

NVFi in PyTorch (NeurIPS 2023)

Data-parallel PINNs with Horovod

This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks

Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery

Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning