21 citations · 26 across the 2 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2020★ 21 cited
Machine learning formation enthalpies of intermetallics
Zhaohan Zhang, Mu Li, Katharine Flores +1
Developing fast and accurate methods to discover intermetallic compounds is relevant for alloy design. While density-functional-theory (DFT)-based methods have accelerated design o…
cond-mat.dis-nn2019★ 5 cited
MATGANIP: Learning to Discover the Structure-Property Relationship in Perovskites with Generative Adversarial Networks
Junjie Hu, Mu Li, Peng Gao
Accelerating the design of materials with artificial neural network draws more attention due to its magnitude potential. In the past works, some tools of materials information have…