Chong, Xiaoyu
Shang, Shun-Li https://orcid.org/0000-0002-6524-8897
Krajewski, Adam M https://orcid.org/0000-0002-2266-0099
Shimanek, John D https://orcid.org/0000-0002-2775-8466
Du, Weihang
Wang, Yi
Feng, Jing
Shin, Dongwon
Beese, Allison M https://orcid.org/0000-0002-7022-3387
Liu, Zi-Kui https://orcid.org/0000-0003-3346-3696
Funding for this research was provided by:
Rare and Precious Metals Material Genetic Engineering Project of Yunnan Province, 2020
US Department of Energy (DE-FE0031553 and DE-EE0008456)
Article Title: Correlation analysis of materials properties by machine learning: illustrated with stacking fault energy from first-principles calculations in dilute fcc-based alloys
Journal Title: Journal of Physics: Condensed Matter
Article Type: paper
Copyright Information: © 2021 IOP Publishing Ltd
Publication dates
Date Received: 2020-12-26
Date Accepted: 2021-05-14
Online publication date: 2021-06-14