158 citations · 209 across the 4 of their papers we have counts for
4 papers
A Fast and Robust Method for Predicting the Phase Stability of Refractory Complex Concentrated Alloys using Pairwise Mixing Enthalpy
Zhaohan Zhang, Mu Li, John Cavin +2
The ability to predict the composition- and temperature-dependent stability of refractory complex concentrated alloys (RCCAs) is vital to the design of high-temperature structural…
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…
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…
Evaluation of microstructure and mechanical property variations in AlxCoCrFeNi high entropy alloys produced by a high-throughput laser deposition method
Mu Li, Jaume Gazquez, Albina Borisevich +2
Twenty-one distinct AlxCoCrFeNi alloys were rapidly prepared by laser alloying an equiatomic CoCrFeNi substrate with Al powder to create an alloy library ranging x=0.15-1.32. Varia…