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A demo of a conditional Generative Adversarial Network for High Entropy Alloy design

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HEA cGAN Demonstrator Package and Notebooks

A demo of a conditional Generative Adversarial Network for High Entropy Alloy design developed by ULTERA (ultera.org) team at Penn State under the DOE ARPA-E ULTIMATE program that aims to develop a new generation of materials for turbine blades in gas turbines and related applications.

Inverse Design: DOI

Connecting with Experiments: DOI (accepted)

Quick start

You can access the demo by clicking the button below, that will open a pre-configured Codespace with all the all dependencies installed.

Open in GitHub Codespaces

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A demo of a conditional Generative Adversarial Network for High Entropy Alloy design

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