PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
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Updated
Apr 1, 2024 - Gnuplot
PDE discovery using UBIC (uncertainty-penalized Bayesian information criterion)
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Bayesian autoencoders for data-driven discovery of coordinates, governing equations and fundamental constants. To appear in the Proceedings of the Royal Society A.
Physics-based machine learning with dynamic Boltzmann distributions
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.
Data-parallel PINNs with Horovod
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.
Physics-informed refinement learning for equation discovery
This repository is the implementation of the paper "A Variational Autoencoder Framework for Robust, Physics-Informed Cyberattack Recognition in Industrial Cyber-Physical Systems"
Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn
Official imprementation of the paper "A general deep learning method for computing molecular parameters of viscoelastic constitutive model by solving an inverse problem"
Navier-Stokes oil dynamics in a rectangular 3D tank, physics-informed neural network approach
study code for physics informed machine learning and deep learning
The implementation of the paper "A Machine Learning Pressure Emulator for Hydrogen Embrittlement", accepted to ICML 2023 SynS & ML Workshop
Source code for Zero-Shot Wireless Indoor Navigation through Physics-Informed Reinforcement Learning
Nonnegative Tensor Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
Uncertainty-penalized Bayesian information criterion (UBIC) for PDE Discovery
Code for the NeurIPS 2021 paper "Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random Features"
This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks
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