Cite
Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning.
MLA
Howard, John M., et al. “Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning.” Journal of Physical Chemistry Letters, vol. 13, no. 9, Mar. 2022, pp. 2254–63. EBSCOhost, https://doi.org/10.1021/acs.jpclett.2c00131.
APA
Howard, J. M., Qiong Wang, Srivastava, M., Tao Gong, Erica Lee, Abate, A., & Leite, M. S. (2022). Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning. Journal of Physical Chemistry Letters, 13(9), 2254–2263. https://doi.org/10.1021/acs.jpclett.2c00131
Chicago
Howard, John M., Qiong Wang, Meghna Srivastava, Tao Gong, Erica Lee, Antonio Abate, and Marina S. Leite. 2022. “Quantitative Predictions of Moisture-Driven Photoemission Dynamics in Metal Halide Perovskites via Machine Learning.” Journal of Physical Chemistry Letters 13 (9): 2254–63. doi:10.1021/acs.jpclett.2c00131.