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A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.
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Simple Digital Twin example in materials science
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Quantum_Espresso_Colab Public
This repository includes a notebook to run the open-source materials modeling package Quantum Espresso on Google Colab.
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cmu_mse_dissertation_template Public
Forked from realitychemist/cmu_mse_dissertation_templateA LaTeX template for PhD dissertations that conforms to the requirements of CMU's MSE department.
TeX The Unlicense UpdatedFeb 13, 2025 -
OC22_adsorption_energy Public
Notebook for calculating adsorption energy from the total energies in OC22 dataset.
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cmap_periodictable Public
Forked from Andrew-S-Rosen/periodic_trendsPython script to plot periodic trends as a heat map over the periodic table of elements
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ScienceU Public
Material simulation tutorial on DFT for high school students to find alternative, green energy source to fossil fuels.
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normalization-frc Public
Simple desktop application for normalization of tensile/compression test data of fiber reinforced composites
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dcgan_cahn-hilliard Public
Generative model Deep Convolutional Generative Adversarial Networks (DCGAN) implementation for the predictions of phase separation in binary alloys
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tricks_for_efficient_pytorch Public
Some tricks to speed up the codes written with PyTorch library.
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vae_cahn-hilliard Public
Generative model variational autoencoder (VAE) implementation for the predictions of phase separation in binary alloys
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classical-laminate-theory Public
Forked from AJJLagerweij/Classical-Composite-Laminate-Theory-CalculatorA collection of Python scripts to calculate the properties of composite laminates.
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linear_elasticity_3D_fenics Public
Finite element modeling for linear elasticity problem in 3D by using FEniCS software
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