Machine-Learning Coupled Cluster Properties through a Density Tensor Representation

MLA

Benjamin G. Peyton, et al. “Machine-Learning Coupled Cluster Properties through a Density Tensor Representation.” The Journal of Physical Chemistry A, vol. 124, May 2020, pp. 4861–71. EBSCOhost, https://doi.org/10.1021/acs.jpca.0c02804.

APA

Benjamin G. Peyton, T. Daniel Crawford, Ruhee D’Cunha, Johannes T. Margraf, & Connor Briggs. (2020). Machine-Learning Coupled Cluster Properties through a Density Tensor Representation. The Journal of Physical Chemistry A, 124, 4861–4871. https://doi.org/10.1021/acs.jpca.0c02804

Chicago

Benjamin G. Peyton, T. Daniel Crawford, Ruhee D’Cunha, Johannes T. Margraf, and Connor Briggs. 2020. “Machine-Learning Coupled Cluster Properties through a Density Tensor Representation.” The Journal of Physical Chemistry A 124 (May): 4861–71. doi:10.1021/acs.jpca.0c02804.