Li, Yuxin, Dong, Rongzhi, Yang, Wenhui, and Hu, Jianjun. Composition based crystal materials symmetry prediction using machine learning with enhanced descriptors. Retrieved from https://par.nsf.gov/biblio/10288169. Computational Materials Science 198.C Web. doi:10.1016/j.commatsci.2021.110686.

Li, Yuxin, Dong, Rongzhi, Yang, Wenhui, & Hu, Jianjun. Composition based crystal materials symmetry prediction using machine learning with enhanced descriptors. Computational Materials Science, 198 (C). Retrieved from https://par.nsf.gov/biblio/10288169. https://doi.org/10.1016/j.commatsci.2021.110686

Li, Yuxin, Dong, Rongzhi, Yang, Wenhui, and Hu, Jianjun. "Composition based crystal materials symmetry prediction using machine learning with enhanced descriptors". Computational Materials Science 198 (C). Country unknown/Code not available. https://doi.org/10.1016/j.commatsci.2021.110686. https://par.nsf.gov/biblio/10288169.

@article{osti_10288169,
place = {Country unknown/Code not available}, title = {Composition based crystal materials symmetry prediction using machine learning with enhanced descriptors}, url = {https://par.nsf.gov/biblio/10288169}, DOI = {10.1016/j.commatsci.2021.110686}, abstractNote = {}, journal = {Computational Materials Science}, volume = {198}, number = {C}, author = {Li, Yuxin and Dong, Rongzhi and Yang, Wenhui and Hu, Jianjun}, editor = {null} }