/cGAN_demo

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

Primary LanguageJupyter NotebookMIT LicenseMIT

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)

Lunch Stable Demo: Binder

Lunch AMK Dev: Binder