kilicdilan

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deepxde

A library for scientific machine learning and physics-informed learning

PINNpapers

Must-read Papers on Physics-Informed Neural Networks.

machine-learning-exams

This repository contains links to machine learning exams, homework assignments, and exercises that can help you test your understanding.

pde-surrogate

Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data

nn4topopt

Code for "Neural Networks for Topology Optimization"

Deep-Learning-Based-Structural-Damage-Detection

Structural damage detection using convolutional neural networks

PoreFlow-Net

3D CNN to predict single-phase flow velocity fields

mlfem

Deep Learning and Finite Element Method for Physical Systems Modeling

CNN-for-Airfoil

CNN for airfoil lift-to-drag-ratio prediction

PEC00025

Introduction to Vibration Theory

Deep-Learning-for-Aerodynamic-Prediction

This repository contains code used to create and train a deep neural network that replicates a RANS solver for aerodynamic prediction over airfoils.

airfoil-learning

pylanczos

Python wrapper for Lambda Lanczos

pyrefine

Python scripting for computational fluid dynamics mesh adaptation with refine

TopOpt

Topology optimization design using Matlab

AeroelasticAirfoil-SU2

A simple framework that automatically generates SU2 configuration (.cfg) files and make calls to SU2 to perform aeroelastic simulations all within Python. The Matrix Pencil method is then used to compute the damping coefficient.

1d-pinn-reconstruction

This is the code for "Neural Network Reconstruction of Plasma Space-Time" by C.Bard and J.Dorelli (DOI: 10.3389/fspas.2021.732275). It is a Physics-Informed Transformer Neural Network which was used to reconstruct one-dimensional (M)HD shocktubes from partial samples. Includes source code, data, and jupyter notebooks for scientific reproduction

Picewise-linear-Rayleigh-Ritz

I use piecewise linear function to approximate the solution to a boundary value problem.

IH-GAN_CMAME_2022

IH-GAN, data generation, and topology optimization code associated with our accepted CMAME 2022 paper: "IH-GAN: A Conditional Generative Model for Implicit Surface-Based Inverse Design of Cellular Structures."

structure_vibration

code for lecture

Semester-2

Physics_informed_GANs_turbulent_flows

Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution (DNS) fields without solving NS equations numerically.

PyMesh

Geometry Processing Library for Python

ml-cfd-lecture

Lecture material for machine learning applied to computational fluid mechanics

ModalPINN_Python_code

Publication of Python code used to train ModalPINN

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

HALE

mfem

Lightweight, general, scalable C++ library for finite element methods

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging