https://github.com/amkrajewski/cgan_demo
A demo of a conditional Generative Adversarial Network for High Entropy Alloy design
Science Score: 13.0%
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Found 5 DOI reference(s) in README -
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○Scientific vocabulary similarity
Low similarity (3.9%) to scientific vocabulary
Last synced: 9 months ago
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Repository
A demo of a conditional Generative Adversarial Network for High Entropy Alloy design
Basic Info
- Host: GitHub
- Owner: amkrajewski
- License: mit
- Language: Jupyter Notebook
- Default Branch: master
- Size: 4.32 MB
Statistics
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
- Releases: 0
Fork of dovahkiin0022/cGAN_demo
Created about 3 years ago
· Last pushed over 2 years ago
Metadata Files
Readme
License
README.md
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:
Connecting with Experiments: 
Lunch Stable Demo: 
Lunch AMK Dev:
Owner
- Name: Adam Krajewski
- Login: amkrajewski
- Kind: user
- Location: University Park, PA, USA
- Company: Phases Research Lab
- Website: phaseslab.com/adam
- Repositories: 1
- Profile: https://github.com/amkrajewski