Li, Jia, Xie, Baobin, Fang, Qihong, Liu, Bin, Liu, Yong, and Liaw, Peter K. High-throughput simulation combined machine learning search for optimum elemental composition in medium entropy alloy. Retrieved from https://par.nsf.gov/biblio/10265859. Journal of Materials Science & Technology 68.C Web. doi:10.1016/j.jmst.2020.08.008.

Li, Jia, Xie, Baobin, Fang, Qihong, Liu, Bin, Liu, Yong, & Liaw, Peter K. High-throughput simulation combined machine learning search for optimum elemental composition in medium entropy alloy. Journal of Materials Science & Technology, 68 (C). Retrieved from https://par.nsf.gov/biblio/10265859. https://doi.org/10.1016/j.jmst.2020.08.008

Li, Jia, Xie, Baobin, Fang, Qihong, Liu, Bin, Liu, Yong, and Liaw, Peter K. "High-throughput simulation combined machine learning search for optimum elemental composition in medium entropy alloy". Journal of Materials Science & Technology 68 (C). Country unknown/Code not available. https://doi.org/10.1016/j.jmst.2020.08.008. https://par.nsf.gov/biblio/10265859.

@article{osti_10265859,
place = {Country unknown/Code not available}, title = {High-throughput simulation combined machine learning search for optimum elemental composition in medium entropy alloy}, url = {https://par.nsf.gov/biblio/10265859}, DOI = {10.1016/j.jmst.2020.08.008}, abstractNote = {}, journal = {Journal of Materials Science & Technology}, volume = {68}, number = {C}, author = {Li, Jia and Xie, Baobin and Fang, Qihong and Liu, Bin and Liu, Yong and Liaw, Peter K.}, editor = {null} }