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1. data-resources-for-materials-science data-resources-for-materials-science Public

   A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.

   374 55

2. simple_digital_twin_in_materials_science simple_digital_twin_in_materials_science Public

   Simple Digital Twin example in materials science

   Python 1

3. vae_cahn-hilliard vae_cahn-hilliard Public

   Generative model variational autoencoder (VAE) implementation for the predictions of phase separation in binary alloys

   Jupyter Notebook 5

4. Quantum_Espresso_Colab Quantum_Espresso_Colab Public

   This repository includes a notebook to run the open-source materials modeling package Quantum Espresso on Google Colab.

   Jupyter Notebook 14 4

5. dcgan_cahn-hilliard dcgan_cahn-hilliard Public

   Generative model Deep Convolutional Generative Adversarial Networks (DCGAN) implementation for the predictions of phase separation in binary alloys

   Jupyter Notebook 2

6. normalization-frc normalization-frc Public

   Simple desktop application for normalization of tensile/compression test data of fiber reinforced composites

   Python 3 1