APA (7th ed.) Citation

SD, M., S, H., KT, B., & R, G. (2021). Bandgap Engineering in the Configurational Space of Solid Solutions via Machine Learning: (Mg,Zn)O Case Study. The journal of physical chemistry letters, 12(21), 5163. https://doi.org/10.1021/acs.jpclett.1c01031

Chicago Style (17th ed.) Citation

SD, Midgley, Hamad S, Butler KT, and Grau-Crespo R. "Bandgap Engineering in the Configurational Space of Solid Solutions via Machine Learning: (Mg,Zn)O Case Study." The Journal of Physical Chemistry Letters 12, no. 21 (2021): 5163. https://doi.org/10.1021/acs.jpclett.1c01031.

MLA (9th ed.) Citation

SD, Midgley, et al. "Bandgap Engineering in the Configurational Space of Solid Solutions via Machine Learning: (Mg,Zn)O Case Study." The Journal of Physical Chemistry Letters, vol. 12, no. 21, 2021, p. 5163, https://doi.org/10.1021/acs.jpclett.1c01031.