61 citations · 69 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 8 cited
Data-efficient and Interpretable Inverse Materials Design using a Disentangled Variational Autoencoder
Cheng Zeng, Zulqarnain Khan, Nathan L. Post
Inverse materials design has proven successful in accelerating novel material discovery. Many inverse materials design methods use unsupervised learning where a latent space is lea…
cond-mat.mtrl-sci2023★ 61 cited
Machine learning accelerated discovery of corrosion-resistant high-entropy alloys
Cheng Zeng, Andrew Neils, Jack Lesko +1
Corrosion has a wide impact on society, causing catastrophic damage to structurally engineered components. An emerging class of corrosion-resistant materials are high-entropy alloy…