Complexity reduction in large quantum systems: fragment identification and population analysis via a local optimized minimal basis.
File(s)multipoles_part1.pdf (1.92 MB)
Accepted version
Author(s)
Mohr, Stephan
Masella, Michel
Ratcliff, Laura E
Genovese, Luigi
Type
Journal Article
Abstract
We present, within Kohn-Sham density functional theory calculations, a quantitative method to identify and assess the partitioning of a large quantum-mechanical system into fragments. We then show how within this framework simple generalizations of other well-known population analyses can be used to extract, from first-principles, reliable electrostatic multipoles for the identified fragments. Our approach reduces arbitrariness in the fragmentation procedure and enables the possibility to assess quantitatively whether the corresponding fragment multipoles can be interpreted as observable quantities associated with a system moiety. By applying our formalism within the code BigDFT, we show that the use of a minimal set of in situ-optimized basis functions allows at the same time a proper fragment definition and an accurate description of the electronic structure.
Date Issued
2017-09-12
Date Acceptance
2017-07-21
Citation
Journal of Chemical Theory and Computation, 2017, 13 (9), pp.4079-4088
ISSN
1549-9618
Publisher
American Chemical Society
Start Page
4079
End Page
4088
Journal / Book Title
Journal of Chemical Theory and Computation
Volume
13
Issue
9
Copyright Statement
© 2017 American Chemical Society. This document is the Accepted Manuscript version of a Published Work that appeared in final form in Journal of Chemical Theory and Computation, after peer review and technical editing by the publisher. To access the final edited and published work see https://dx.doi.org/10.1021/acs.jctc.7b00291
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/28732165
Subjects
0307 Theoretical And Computational Chemistry
Chemical Physics
Publication Status
Published
Coverage Spatial
United States