Liu, Xianglin, Zhang, Jiaxin, Yin, Junqi, Bi, Sirui, Eisenbach, Markus, and Wang, Yang. Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach. Retrieved from https://par.nsf.gov/biblio/10297286. Computational Materials Science 187.C Web. doi:10.1016/j.commatsci.2020.110135.

Liu, Xianglin, Zhang, Jiaxin, Yin, Junqi, Bi, Sirui, Eisenbach, Markus, & Wang, Yang. Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach. Computational Materials Science, 187 (C). Retrieved from https://par.nsf.gov/biblio/10297286. https://doi.org/10.1016/j.commatsci.2020.110135

Liu, Xianglin, Zhang, Jiaxin, Yin, Junqi, Bi, Sirui, Eisenbach, Markus, and Wang, Yang. "Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach". Computational Materials Science 187 (C). Country unknown/Code not available. https://doi.org/10.1016/j.commatsci.2020.110135. https://par.nsf.gov/biblio/10297286.

@article{osti_10297286,
place = {Country unknown/Code not available}, title = {Monte Carlo simulation of order-disorder transition in refractory high entropy alloys: A data-driven approach}, url = {https://par.nsf.gov/biblio/10297286}, DOI = {10.1016/j.commatsci.2020.110135}, abstractNote = {}, journal = {Computational Materials Science}, volume = {187}, number = {C}, author = {Liu, Xianglin and Zhang, Jiaxin and Yin, Junqi and Bi, Sirui and Eisenbach, Markus and Wang, Yang}, editor = {null} }