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koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals

[Image: see text] Over the past decade we have developed Koopmans functionals, a computationally efficient approach for predicting spectral properties with an orbital-density-dependent functional framework. These functionals impose a generalized piecewise linearity condition to the entire electronic...

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Autores principales: Linscott, Edward B., Colonna, Nicola, De Gennaro, Riccardo, Nguyen, Ngoc Linh, Borghi, Giovanni, Ferretti, Andrea, Dabo, Ismaila, Marzari, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601481/
https://www.ncbi.nlm.nih.gov/pubmed/37610300
http://dx.doi.org/10.1021/acs.jctc.3c00652
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author Linscott, Edward B.
Colonna, Nicola
De Gennaro, Riccardo
Nguyen, Ngoc Linh
Borghi, Giovanni
Ferretti, Andrea
Dabo, Ismaila
Marzari, Nicola
author_facet Linscott, Edward B.
Colonna, Nicola
De Gennaro, Riccardo
Nguyen, Ngoc Linh
Borghi, Giovanni
Ferretti, Andrea
Dabo, Ismaila
Marzari, Nicola
author_sort Linscott, Edward B.
collection PubMed
description [Image: see text] Over the past decade we have developed Koopmans functionals, a computationally efficient approach for predicting spectral properties with an orbital-density-dependent functional framework. These functionals impose a generalized piecewise linearity condition to the entire electronic manifold, ensuring that orbital energies match the corresponding electron removal/addition energy differences (in contrast to semilocal DFT, where a mismatch between the two lies at the heart of the band gap problem and, more generally, the unreliability of Kohn–Sham orbital energies). This strategy has proven to be very powerful, yielding molecular orbital energies and solid-state band structures with comparable accuracy to many-body perturbation theory but at greatly reduced computational cost while preserving a functional formulation. This paper reviews the theory of Koopmans functionals, discusses the algorithms necessary for their implementation, and introduces koopmans, an open-source package that contains all of the code and workflows needed to perform Koopmans functional calculations and obtain reliable spectral properties of molecules and materials.
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spelling pubmed-106014812023-10-27 koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals Linscott, Edward B. Colonna, Nicola De Gennaro, Riccardo Nguyen, Ngoc Linh Borghi, Giovanni Ferretti, Andrea Dabo, Ismaila Marzari, Nicola J Chem Theory Comput [Image: see text] Over the past decade we have developed Koopmans functionals, a computationally efficient approach for predicting spectral properties with an orbital-density-dependent functional framework. These functionals impose a generalized piecewise linearity condition to the entire electronic manifold, ensuring that orbital energies match the corresponding electron removal/addition energy differences (in contrast to semilocal DFT, where a mismatch between the two lies at the heart of the band gap problem and, more generally, the unreliability of Kohn–Sham orbital energies). This strategy has proven to be very powerful, yielding molecular orbital energies and solid-state band structures with comparable accuracy to many-body perturbation theory but at greatly reduced computational cost while preserving a functional formulation. This paper reviews the theory of Koopmans functionals, discusses the algorithms necessary for their implementation, and introduces koopmans, an open-source package that contains all of the code and workflows needed to perform Koopmans functional calculations and obtain reliable spectral properties of molecules and materials. American Chemical Society 2023-08-23 /pmc/articles/PMC10601481/ /pubmed/37610300 http://dx.doi.org/10.1021/acs.jctc.3c00652 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 Linscott, Edward B.
Colonna, Nicola
De Gennaro, Riccardo
Nguyen, Ngoc Linh
Borghi, Giovanni
Ferretti, Andrea
Dabo, Ismaila
Marzari, Nicola
koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals
title koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals
title_full koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals
title_fullStr koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals
title_full_unstemmed koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals
title_short koopmans: An Open-Source Package for Accurately and Efficiently Predicting Spectral Properties with Koopmans Functionals
title_sort koopmans: an open-source package for accurately and efficiently predicting spectral properties with koopmans functionals
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10601481/
https://www.ncbi.nlm.nih.gov/pubmed/37610300
http://dx.doi.org/10.1021/acs.jctc.3c00652
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