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deep-flow-prediction

A framework for fluid flow (Reynolds-averaged Navier Stokes) predictions with deep learning

deepxde

A library for scientific machine learning

ecogen-1

A CFD open source code dedicated to multiphase compressible flows

ecogen1.0

My own edits to the source code of ecogen1.0

extendedsg_eos

Finding the extended stiffened gas EoS parameters for compressible diphasic flow under mechanical equilibrium.

lstm_rom_arxiv

A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269

mfc-caltech

High-fidelity multiphase flow simulation

neuralsolvers

Neural network based solvers for partial differential equations and inverse problems :milky_way:. Implementation of physics-informed neural networks in pytorch.

openfoamteaching

optimization-of-mrr-in-milling

Optimization of material removal rate in milling of thin-walled structures using penalty cost function using MATLAB

physics-informed-deep-learning-solid-and-fluid-mechanics

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

plotdigitizer

A Python utility to digitize plots.

pycycle

Thermodynamic cycle modeling library, built on top of OpenMDAO

pydmd

Python Dynamic Mode Decomposition

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorchtutorial

PyTorch Tutorials from my YouTube channel

reconstruction-of-flows

Super resolution reconstruction in computational fluid dynamics. Proposed a novel autoencoder architecture to improve over existing results.

tensorflowfoam

Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development

topy

Topology Optimization using Python