Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting
Publication
, Journal Article
Wu, X; Lindsey, M; Zhou, T; Tong, Y; Lin, L
Published in: Physical Review B
August 12, 2020
Duke Scholars
Published In
Physical Review B
DOI
EISSN
2469-9969
ISSN
2469-9950
Publication Date
August 12, 2020
Volume
102
Issue
8
Publisher
American Physical Society (APS)
Related Subject Headings
- 51 Physical sciences
- 40 Engineering
- 34 Chemical sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Wu, X., Lindsey, M., Zhou, T., Tong, Y., & Lin, L. (2020). Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting. Physical Review B, 102(8). https://doi.org/10.1103/physrevb.102.085123
Wu, Xiaojie, Michael Lindsey, Tiangang Zhou, Yu Tong, and Lin Lin. “Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting.” Physical Review B 102, no. 8 (August 12, 2020). https://doi.org/10.1103/physrevb.102.085123.
Wu X, Lindsey M, Zhou T, Tong Y, Lin L. Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting. Physical Review B. 2020 Aug 12;102(8).
Wu, Xiaojie, et al. “Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting.” Physical Review B, vol. 102, no. 8, American Physical Society (APS), Aug. 2020. Crossref, doi:10.1103/physrevb.102.085123.
Wu X, Lindsey M, Zhou T, Tong Y, Lin L. Enhancing robustness and efficiency of density matrix embedding theory via semidefinite programming and local correlation potential fitting. Physical Review B. American Physical Society (APS); 2020 Aug 12;102(8).
Published In
Physical Review B
DOI
EISSN
2469-9969
ISSN
2469-9950
Publication Date
August 12, 2020
Volume
102
Issue
8
Publisher
American Physical Society (APS)
Related Subject Headings
- 51 Physical sciences
- 40 Engineering
- 34 Chemical sciences