Hejiandong

Hejiandong's Stars

• idrl-lab/PINNpapers

  Must-read Papers on Physics-Informed Neural Networks.

  Language:Python897264155

• PyDMD/PyDMD

  Python Dynamic Mode Decomposition

  Language:Python87934124303

• jerabaul29/Cylinder2DFlowControlDRL

  code for performing active flow control of the 2D Karman street using Deep Reinforcement Learning

  Language:Python150123064

• okada39/pinn_cavity

  Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.

  Language:Python1226630

• cschenck/SmoothParticleNets

  A set of custom deep network layers written in PyTorch to enable computation with unordered particle sets with an emphasis on fluid dynamics.

  Language:Python662114

• kangluosee/CFD-Python

  Language:Jupyter Notebook532110

• sisl/deep_flow_control

  Source code for "Deep Dynamical Modeling and Control of Unsteady Fluid Flows" from NeurIPS 2018

  Language:Python456018

• gbstack/AAAI-2022-papers

  AAAI 2022 papers with code

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• deepmorzaria/Lid-Driven-Cavity-Collocated-Grid

  SIMPLE Algorithm for Driven Cavity problem on collocated grid using Python.

  Language:Python19162

• sumanth107/PINNs-TF2.4.0

  Contains implementation of PINN using Tensorflow 2.4.0

  Language:Jupyter Notebook14106

• tittuvmathew/tvmathew1986-Physics_Informed_Neural_Network_for_Continuum_Mechanics_application

  The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed Neural Network implementation in Tensorflow using Jupyter notebooks.

  Language:Jupyter Notebook10103

• JacobCrabill/tioga

  Tioga is a library for overset grid assembly on parallel distributed systems

  Language:C4401