Cite
Improving Density Functional Prediction of Molecular Thermochemical Properties with a Machine-Learning-Corrected Generalized Gradient Approximation.
MLA
JingChun Wang, et al. “Improving Density Functional Prediction of Molecular Thermochemical Properties with a Machine-Learning-Corrected Generalized Gradient Approximation.” Journal of Physical Chemistry A, vol. 126, no. 6, Feb. 2022, pp. 970–78. EBSCOhost, https://doi.org/10.1021/acs.jpca.1c10491.
APA
JingChun Wang, DaDi Zhang, Rui-Xue Xu, ChiYung Yam, GuanHua Chen, & Xiao Zheng. (2022). Improving Density Functional Prediction of Molecular Thermochemical Properties with a Machine-Learning-Corrected Generalized Gradient Approximation. Journal of Physical Chemistry A, 126(6), 970–978. https://doi.org/10.1021/acs.jpca.1c10491
Chicago
JingChun Wang, DaDi Zhang, Rui-Xue Xu, ChiYung Yam, GuanHua Chen, and Xiao Zheng. 2022. “Improving Density Functional Prediction of Molecular Thermochemical Properties with a Machine-Learning-Corrected Generalized Gradient Approximation.” Journal of Physical Chemistry A 126 (6): 970–78. doi:10.1021/acs.jpca.1c10491.