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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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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. |
format | Online Article Text |
id | pubmed-10501011 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
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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