Dong, Rongzhi, Dan, Yabo, Li, Xiang, and Hu, Jianjun. Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization. Retrieved from https://par.nsf.gov/biblio/10288165. Computational Materials Science 188.C Web. doi:10.1016/j.commatsci.2020.110166.

Dong, Rongzhi, Dan, Yabo, Li, Xiang, & Hu, Jianjun. Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization. Computational Materials Science, 188 (C). Retrieved from https://par.nsf.gov/biblio/10288165. https://doi.org/10.1016/j.commatsci.2020.110166

Dong, Rongzhi, Dan, Yabo, Li, Xiang, and Hu, Jianjun. "Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization". Computational Materials Science 188 (C). Country unknown/Code not available. https://doi.org/10.1016/j.commatsci.2020.110166. https://par.nsf.gov/biblio/10288165.

@article{osti_10288165,
place = {Country unknown/Code not available}, title = {Inverse design of composite metal oxide optical materials based on deep transfer learning and global optimization}, url = {https://par.nsf.gov/biblio/10288165}, DOI = {10.1016/j.commatsci.2020.110166}, abstractNote = {}, journal = {Computational Materials Science}, volume = {188}, number = {C}, author = {Dong, Rongzhi and Dan, Yabo and Li, Xiang and Hu, Jianjun}, editor = {null} }