Jianxun-Wang/baselineOperatorLearner

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Created almost 2 years ago
Updated almost 2 years ago

Jianxun-Wang/baselineOperatorLearner

Jianxun-Wang

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A group of baseline model for spatiotemporal operator learning

phygeonet

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

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

PIMBRL

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

Physics-constrained-Bayesian-deep-learning

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

PICNNSR

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

PPNN

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

PiNDiff-manufacturing

Physics-integrated neural differentiable model for composites manufacturing