sedaoturak's repositories
data-resources-for-materials-science
A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
Quantum_Espresso_Colab
This repository includes a notebook to run the open-source materials modeling package Quantum Espresso on Google Colab.
linear_elasticity_3D_fenics
Finite element modeling for linear elasticity problem in 3D by using FEniCS software
vae_cahn-hilliard
Generative model variational autoencoder (VAE) implementation for the predictions of phase separation in binary alloys
normalization-frc
Simple desktop application for normalization of tensile/compression test data of fiber reinforced composites
dcgan_cahn-hilliard
Generative model Deep Convolutional Generative Adversarial Networks (DCGAN) implementation for the predictions of phase separation in binary alloys
classical-laminate-theory
A collection of Python scripts to calculate the properties of composite laminates.
cmap_periodictable
Python script to plot periodic trends as a heat map over the periodic table of elements
OC22_adsorption_energy
Notebook for calculating adsorption energy from the total energies in OC22 dataset.
edbo
Experimental Design via Bayesian Optimization
tricks_for_efficient_pytorch
Some tricks to speed up the codes written with PyTorch library.