Atom-Based Bootstrap Embedding For Molecules

Recent developments in quantum embedding have offered an attractive approach to describing electron correlation in molecules. However, previous methods such as density matrix embedding theory (DMET) require rigid partitioning of the system into fragments, which creates significant ambiguity for mole...

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Main Authors: Ye, Hongzhou, Van Voorhis, Troy
Other Authors: Massachusetts Institute of Technology. Department of Chemistry
Format: Article
Published: American Chemical Society (ACS) 2020
Online Access:https://hdl.handle.net/1721.1/128160
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author Ye, Hongzhou
Van Voorhis, Troy
author2 Massachusetts Institute of Technology. Department of Chemistry
author_facet Massachusetts Institute of Technology. Department of Chemistry
Ye, Hongzhou
Van Voorhis, Troy
author_sort Ye, Hongzhou
collection MIT
description Recent developments in quantum embedding have offered an attractive approach to describing electron correlation in molecules. However, previous methods such as density matrix embedding theory (DMET) require rigid partitioning of the system into fragments, which creates significant ambiguity for molecules. Bootstrap embedding (BE) is more flexible because it allows overlapping fragments, but when done on an orbital-by-orbital basis, BE introduces ambiguity in defining the connectivity of the orbitals. In this Letter, we present an atom-based fragment definition that significantly augments BE’s performance in molecules. The resulting method, which we term atom-based BE, is very effective at recovering valence electron correlation in moderate-sized bases and delivers near-chemical-accuracy results using extrapolation. We anticipate atom-based BE may lead to a low-scaling and highly accurate approach to electron correlation in large molecules.
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spelling mit-1721.1/1281602022-09-29T13:12:37Z Atom-Based Bootstrap Embedding For Molecules Ye, Hongzhou Van Voorhis, Troy Massachusetts Institute of Technology. Department of Chemistry Recent developments in quantum embedding have offered an attractive approach to describing electron correlation in molecules. However, previous methods such as density matrix embedding theory (DMET) require rigid partitioning of the system into fragments, which creates significant ambiguity for molecules. Bootstrap embedding (BE) is more flexible because it allows overlapping fragments, but when done on an orbital-by-orbital basis, BE introduces ambiguity in defining the connectivity of the orbitals. In this Letter, we present an atom-based fragment definition that significantly augments BE’s performance in molecules. The resulting method, which we term atom-based BE, is very effective at recovering valence electron correlation in moderate-sized bases and delivers near-chemical-accuracy results using extrapolation. We anticipate atom-based BE may lead to a low-scaling and highly accurate approach to electron correlation in large molecules. NSF (Grant CHE-1464804) 2020-10-23T16:06:27Z 2020-10-23T16:06:27Z 2019-10 2019-08 Article http://purl.org/eprint/type/JournalArticle 1948-7185 https://hdl.handle.net/1721.1/128160 Ye, Hongzhou and Troy Van Voorhis. "Atom-Based Bootstrap Embedding For Molecules." Journal of Physical Chemistry Letters 10, 20 (October 2019): 6368–6374 © 2019 American Chemical Society https://pubs.acs.org/doi/10.1021/acs.jpclett.9b02479 Journal of Physical Chemistry Letters Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use. application/pdf American Chemical Society (ACS) Prof. Van Voorhis
spellingShingle Ye, Hongzhou
Van Voorhis, Troy
Atom-Based Bootstrap Embedding For Molecules
title Atom-Based Bootstrap Embedding For Molecules
title_full Atom-Based Bootstrap Embedding For Molecules
title_fullStr Atom-Based Bootstrap Embedding For Molecules
title_full_unstemmed Atom-Based Bootstrap Embedding For Molecules
title_short Atom-Based Bootstrap Embedding For Molecules
title_sort atom based bootstrap embedding for molecules
url https://hdl.handle.net/1721.1/128160
work_keys_str_mv AT yehongzhou atombasedbootstrapembeddingformolecules
AT vanvoorhistroy atombasedbootstrapembeddingformolecules