Discover Jianxun-Wang/PICNNSR Open Source project

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Language
C++
License
MIT License
Created over 3 years ago
Updated over 3 years ago

Jianxun-Wang

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Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- parametric forward SR and boundary inference

phygeonet

PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain

C++

LabelFree-DNN-Surrogate

Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning

Jupyter Notebook

graphGalerkin

Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems

Python

PIMBRL

Physics-informed Dyna-style model-based deep reinforcement learning for dynamic control

Python

Physics-constrained-Bayesian-deep-learning

Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data

Python

PPNN

Predicting parametric spatiotemporal dynamics by multi-resolution PDE structure-preserved deep learning

PiNDiff-manufacturing

Physics-integrated neural differentiable model for composites manufacturing

Python

baselineOperatorLearner

A group of baseline model for spatiotemporal operator learning

Jianxun-Wang/PICNNSR

Jianxun-Wang

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