Cite
Insight into the Electronic Properties of Semiconductor Heterostructure Based on Machine Learning and First-Principles
MLA
Yuanyuan Yuan, et al. “Insight into the Electronic Properties of Semiconductor Heterostructure Based on Machine Learning and First-Principles.” ACS Applied Materials & Interfaces, vol. 15, Feb. 2023, pp. 12462–72. EBSCOhost, https://doi.org/10.1021/acsami.2c15957.
APA
Yuanyuan Yuan, Junqiang Ren, Hongtao Xue, Junchen Li, Fuling Tang, Peiqing La, & Xuefeng Lu. (2023). Insight into the Electronic Properties of Semiconductor Heterostructure Based on Machine Learning and First-Principles. ACS Applied Materials & Interfaces, 15, 12462–12472. https://doi.org/10.1021/acsami.2c15957
Chicago
Yuanyuan Yuan, Junqiang Ren, Hongtao Xue, Junchen Li, Fuling Tang, Peiqing La, and Xuefeng Lu. 2023. “Insight into the Electronic Properties of Semiconductor Heterostructure Based on Machine Learning and First-Principles.” ACS Applied Materials & Interfaces 15 (February): 12462–72. doi:10.1021/acsami.2c15957.