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Bootstrap Embedding for Molecules

[Image: see text] Fragment embedding is one way to circumvent the high computational scaling of accurate electron correlation methods. The challenge of applying fragment embedding to molecular systems primarily lies in the strong entanglement and correlation that prevent accurate fragmentation acros...

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Autores principales: Ye, Hong-Zhou, Ricke, Nathan D., Tran, Henry K., Van Voorhis, Troy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2019
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727622/
https://www.ncbi.nlm.nih.gov/pubmed/31343878
http://dx.doi.org/10.1021/acs.jctc.9b00529
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author Ye, Hong-Zhou
Ricke, Nathan D.
Tran, Henry K.
Van Voorhis, Troy
author_facet Ye, Hong-Zhou
Ricke, Nathan D.
Tran, Henry K.
Van Voorhis, Troy
author_sort Ye, Hong-Zhou
collection PubMed
description [Image: see text] Fragment embedding is one way to circumvent the high computational scaling of accurate electron correlation methods. The challenge of applying fragment embedding to molecular systems primarily lies in the strong entanglement and correlation that prevent accurate fragmentation across chemical bonds. Recently, Schmidt decomposition has been shown effective for embedding fragments that are strongly coupled to a bath in several model systems. In this work, we extend a recently developed quantum embedding scheme, bootstrap embedding (BE), to molecular systems. The resulting method utilizes the matching conditions naturally arising from using overlapping fragments to optimize the embedding. Numerical simulation suggests that the accuracy of the embedding improves rapidly with fragment size for small molecules, whereas larger fragments that include orbitals from different atoms may be needed for larger molecules. BE scales linearly with system size (apart from an integral transform) and hence can potentially be useful for large-scale calculations.
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spelling pubmed-67276222019-09-06 Bootstrap Embedding for Molecules Ye, Hong-Zhou Ricke, Nathan D. Tran, Henry K. Van Voorhis, Troy J Chem Theory Comput [Image: see text] Fragment embedding is one way to circumvent the high computational scaling of accurate electron correlation methods. The challenge of applying fragment embedding to molecular systems primarily lies in the strong entanglement and correlation that prevent accurate fragmentation across chemical bonds. Recently, Schmidt decomposition has been shown effective for embedding fragments that are strongly coupled to a bath in several model systems. In this work, we extend a recently developed quantum embedding scheme, bootstrap embedding (BE), to molecular systems. The resulting method utilizes the matching conditions naturally arising from using overlapping fragments to optimize the embedding. Numerical simulation suggests that the accuracy of the embedding improves rapidly with fragment size for small molecules, whereas larger fragments that include orbitals from different atoms may be needed for larger molecules. BE scales linearly with system size (apart from an integral transform) and hence can potentially be useful for large-scale calculations. American Chemical Society 2019-07-25 2019-08-13 /pmc/articles/PMC6727622/ /pubmed/31343878 http://dx.doi.org/10.1021/acs.jctc.9b00529 Text en Copyright © 2019 American Chemical Society This is an open access article published under a Creative Commons Non-Commercial No Derivative Works (CC-BY-NC-ND) Attribution License (http://pubs.acs.org/page/policy/authorchoice_ccbyncnd_termsofuse.html) , which permits copying and redistribution of the article, and creation of adaptations, all for non-commercial purposes.
spellingShingle Ye, Hong-Zhou
Ricke, Nathan D.
Tran, Henry K.
Van Voorhis, Troy
Bootstrap Embedding for Molecules
title Bootstrap Embedding for Molecules
title_full Bootstrap Embedding for Molecules
title_fullStr Bootstrap Embedding for Molecules
title_full_unstemmed Bootstrap Embedding for Molecules
title_short Bootstrap Embedding for Molecules
title_sort bootstrap embedding for molecules
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6727622/
https://www.ncbi.nlm.nih.gov/pubmed/31343878
http://dx.doi.org/10.1021/acs.jctc.9b00529
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