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