Cite
Improving the Efficiency of the Multireference Driven Similarity Renormalization Group via Sequential Transformation, Density Fitting, and the Noninteracting Virtual Orbital Approximation
MLA
Zhang, Tianyuan, et al. “Improving the Efficiency of the Multireference Driven Similarity Renormalization Group via Sequential Transformation, Density Fitting, and the Noninteracting Virtual Orbital Approximation.” Journal of Chemical Theory and Computation, vol. 15, no. 8, Aug. 2019, pp. 4399–414. EBSCOhost, https://doi.org/10.1021/acs.jctc.9b00353.
APA
Zhang, T., Li, C., & Evangelista, F. A. (2019). Improving the Efficiency of the Multireference Driven Similarity Renormalization Group via Sequential Transformation, Density Fitting, and the Noninteracting Virtual Orbital Approximation. Journal of Chemical Theory and Computation, 15(8), 4399–4414. https://doi.org/10.1021/acs.jctc.9b00353
Chicago
Zhang, Tianyuan, Chenyang Li, and Francesco A. Evangelista. 2019. “Improving the Efficiency of the Multireference Driven Similarity Renormalization Group via Sequential Transformation, Density Fitting, and the Noninteracting Virtual Orbital Approximation.” Journal of Chemical Theory and Computation 15 (8): 4399–4414. doi:10.1021/acs.jctc.9b00353.