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Body-ordered approximations of atomic properties

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Thomas, Jack, Chen, Huajie and Ortner, Christoph (2022) Body-ordered approximations of atomic properties. Archive for Rational Mechanics and Analysis, 246 . pp. 1-60. doi:10.1007/s00205-022-01809-w ISSN 1432-0673.

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Official URL: https://doi.org/10.1007/s00205-022-01809-w

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Abstract

We show that the local density of states (LDOS) of a wide class of tight-binding models has a weak body-order expansion. Specifically, we prove that the resulting body-order expansion for analytic observables such as the electron density or the energy has an exponential rate of convergence both at finite Fermi-temperature as well as for insulators at zero Fermi-temperature. We discuss potential consequences of this observation for modelling the potential energy landscape, as well as for solving the electronic structure problem.

Item Type: Journal Article
Subjects: Q Science > QA Mathematics
Q Science > QC Physics
Divisions: Faculty of Science, Engineering and Medicine > Science > Mathematics
SWORD Depositor: Library Publications Router
Library of Congress Subject Headings (LCSH): Approximation theory, Atomic structure -- Mathematical models, Quantum theory -- Mathematical models
Journal or Publication Title: Archive for Rational Mechanics and Analysis
Publisher: Springer Science and Business Media LLC
ISSN: 1432-0673
Official Date: October 2022
Dates:
DateEvent
October 2022Published
6 August 2022Available
27 July 2022Accepted
Volume: 246
Page Range: pp. 1-60
DOI: 10.1007/s00205-022-01809-w
Status: Peer Reviewed
Publication Status: Published
Reuse Statement (publisher, data, author rights): ** Article version: VoR ** From Crossref journal articles via Jisc Publications Router ** History: epub 06-08-2022; issued 06-08-2022. ** Licence for VoR version of this article starting on 06-08-2022: https://creativecommons.org/licenses/by/4.0
Access rights to Published version: Open Access (Creative Commons)
Date of first compliant deposit: 15 August 2022
Date of first compliant Open Access: 15 August 2022
Related URLs:
  • https://creativecommons.org/licenses/by/...

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