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Multilevel Density Functional Theory
[Image: see text] Following recent developments in multilevel embedding methods, we introduce a novel density matrix-based multilevel approach within the framework of density functional theory (DFT). In this multilevel DFT, the system is partitioned in an active and an inactive fragment, and all int...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880574/ https://www.ncbi.nlm.nih.gov/pubmed/33449681 http://dx.doi.org/10.1021/acs.jctc.0c00940 |
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author | Marrazzini, Gioia Giovannini, Tommaso Scavino, Marco Egidi, Franco Cappelli, Chiara Koch, Henrik |
author_facet | Marrazzini, Gioia Giovannini, Tommaso Scavino, Marco Egidi, Franco Cappelli, Chiara Koch, Henrik |
author_sort | Marrazzini, Gioia |
collection | PubMed |
description | [Image: see text] Following recent developments in multilevel embedding methods, we introduce a novel density matrix-based multilevel approach within the framework of density functional theory (DFT). In this multilevel DFT, the system is partitioned in an active and an inactive fragment, and all interactions are retained between the two parts. The decomposition of the total system is performed upon the density matrix. The orthogonality between the two parts is maintained by solving the Kohn–Sham equations in the MO basis for the active part only, while keeping the inactive density matrix frozen. This results in the reduction of computational cost. We outline the theory and implementation and discuss the differences and similarities with state-of-the-art DFT embedding methods. We present applications to aqueous solutions of methyloxirane and glycidol. |
format | Online Article Text |
id | pubmed-7880574 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-78805742021-02-16 Multilevel Density Functional Theory Marrazzini, Gioia Giovannini, Tommaso Scavino, Marco Egidi, Franco Cappelli, Chiara Koch, Henrik J Chem Theory Comput [Image: see text] Following recent developments in multilevel embedding methods, we introduce a novel density matrix-based multilevel approach within the framework of density functional theory (DFT). In this multilevel DFT, the system is partitioned in an active and an inactive fragment, and all interactions are retained between the two parts. The decomposition of the total system is performed upon the density matrix. The orthogonality between the two parts is maintained by solving the Kohn–Sham equations in the MO basis for the active part only, while keeping the inactive density matrix frozen. This results in the reduction of computational cost. We outline the theory and implementation and discuss the differences and similarities with state-of-the-art DFT embedding methods. We present applications to aqueous solutions of methyloxirane and glycidol. American Chemical Society 2021-01-15 2021-02-09 /pmc/articles/PMC7880574/ /pubmed/33449681 http://dx.doi.org/10.1021/acs.jctc.0c00940 Text en © 2021 The Authors. Published by American Chemical Society This is an open access article published under a Creative Commons Attribution (CC-BY) License (http://pubs.acs.org/page/policy/authorchoice_ccby_termsofuse.html) , which permits unrestricted use, distribution and reproduction in any medium, provided the author and source are cited. |
spellingShingle | Marrazzini, Gioia Giovannini, Tommaso Scavino, Marco Egidi, Franco Cappelli, Chiara Koch, Henrik Multilevel Density Functional Theory |
title | Multilevel Density Functional Theory |
title_full | Multilevel Density Functional Theory |
title_fullStr | Multilevel Density Functional Theory |
title_full_unstemmed | Multilevel Density Functional Theory |
title_short | Multilevel Density Functional Theory |
title_sort | multilevel density functional theory |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7880574/ https://www.ncbi.nlm.nih.gov/pubmed/33449681 http://dx.doi.org/10.1021/acs.jctc.0c00940 |
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