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Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials

[Image: see text] The electronic energy in the Hartree–Fock (HF) theory is the trace of the product of the charge density matrix (CDM) with the one-electron and two-electron matrices represented in an atomic orbital basis, where the two-electron matrix is also a function of the same CDM. In this wor...

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Autores principales: Hashem, Younos, Foust, Katheryn, Kaledin, Martina, Kaledin, Alexey L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501011/
https://www.ncbi.nlm.nih.gov/pubmed/37561135
http://dx.doi.org/10.1021/acs.jctc.3c00586
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author Hashem, Younos
Foust, Katheryn
Kaledin, Martina
Kaledin, Alexey L.
author_facet Hashem, Younos
Foust, Katheryn
Kaledin, Martina
Kaledin, Alexey L.
author_sort Hashem, Younos
collection PubMed
description [Image: see text] The electronic energy in the Hartree–Fock (HF) theory is the trace of the product of the charge density matrix (CDM) with the one-electron and two-electron matrices represented in an atomic orbital basis, where the two-electron matrix is also a function of the same CDM. In this work, we examine a formalism of analytic representation of a generic molecular potential energy surface (PES) as a sum of a linearly parameterized HF and a correction term, the latter formally representing the electron correlation energy, also linearly parameterized, by expressing the elements of CDM using permutationally invariant polynomials (PIPs). We show on a variety of numerical examples, ranging from exemplary two-electron systems HeH(+) and H(3)(+) to the more challenging cases of methanium (CH(5)(+)) fragmentation and high-energy tautomerization of formamide to formimidic acid that such a formulation requires significantly fewer, 10–20% of PIPs, to accomplish the same accuracy of the fit as the conventional representation at practically the same computational cost.
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spelling pubmed-105010112023-09-15 Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials Hashem, Younos Foust, Katheryn Kaledin, Martina Kaledin, Alexey L. J Chem Theory Comput [Image: see text] The electronic energy in the Hartree–Fock (HF) theory is the trace of the product of the charge density matrix (CDM) with the one-electron and two-electron matrices represented in an atomic orbital basis, where the two-electron matrix is also a function of the same CDM. In this work, we examine a formalism of analytic representation of a generic molecular potential energy surface (PES) as a sum of a linearly parameterized HF and a correction term, the latter formally representing the electron correlation energy, also linearly parameterized, by expressing the elements of CDM using permutationally invariant polynomials (PIPs). We show on a variety of numerical examples, ranging from exemplary two-electron systems HeH(+) and H(3)(+) to the more challenging cases of methanium (CH(5)(+)) fragmentation and high-energy tautomerization of formamide to formimidic acid that such a formulation requires significantly fewer, 10–20% of PIPs, to accomplish the same accuracy of the fit as the conventional representation at practically the same computational cost. American Chemical Society 2023-08-10 /pmc/articles/PMC10501011/ /pubmed/37561135 http://dx.doi.org/10.1021/acs.jctc.3c00586 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Hashem, Younos
Foust, Katheryn
Kaledin, Martina
Kaledin, Alexey L.
Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials
title Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials
title_full Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials
title_fullStr Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials
title_full_unstemmed Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials
title_short Fitting Potential Energy Surfaces by Learning the Charge Density Matrix with Permutationally Invariant Polynomials
title_sort fitting potential energy surfaces by learning the charge density matrix with permutationally invariant polynomials
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501011/
https://www.ncbi.nlm.nih.gov/pubmed/37561135
http://dx.doi.org/10.1021/acs.jctc.3c00586
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