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Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks

The accurate determination of structural parameters is necessary to understand the electronic and magnetic properties of metal–organic frameworks (MOFs) and is a first step toward accurate calculations of electronic structure and function for separations and catalysis. Theoretical structural determi...

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Autores principales: Choudhuri, Indrani, Truhlar, Donald G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180546/
https://www.ncbi.nlm.nih.gov/pubmed/32231071
http://dx.doi.org/10.3390/molecules25071552
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author Choudhuri, Indrani
Truhlar, Donald G.
author_facet Choudhuri, Indrani
Truhlar, Donald G.
author_sort Choudhuri, Indrani
collection PubMed
description The accurate determination of structural parameters is necessary to understand the electronic and magnetic properties of metal–organic frameworks (MOFs) and is a first step toward accurate calculations of electronic structure and function for separations and catalysis. Theoretical structural determination of metal-organic frameworks is particularly challenging because they involve ionic, covalent, and noncovalent interactions, which must be treated in a balanced fashion. Here, we apply a diverse group of local exchange-correlation functionals (PBE, PBEsol, PBE-D2, PBE-D3, vdW-DF2, SOGGA, MN15-L, revM06-L, SCAN, and revTPSS) to a broad test set of MOFs to seek the most accurate functionals to study various structural aspects of porous solids, in particular to study lattice constants, unit cell volume, two types of pore size characteristics, bond lengths, bond angles, and torsional angles). The recently developed meta functionals revM06-L and SCAN, without adding any molecular mechanics terms, are able to predict more accurate structures than previously recommended functionals, both those without molecular mechanics terms (PBE, PBEsol, vdW-DF2, and revTPSS) and those with them (PBE-D2 and PBE-D3). To provide a broader test, these two functionals are also tested for lattice constants and band gaps of unary, binary, and ternary semiconductors.
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spelling pubmed-71805462020-05-01 Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks Choudhuri, Indrani Truhlar, Donald G. Molecules Article The accurate determination of structural parameters is necessary to understand the electronic and magnetic properties of metal–organic frameworks (MOFs) and is a first step toward accurate calculations of electronic structure and function for separations and catalysis. Theoretical structural determination of metal-organic frameworks is particularly challenging because they involve ionic, covalent, and noncovalent interactions, which must be treated in a balanced fashion. Here, we apply a diverse group of local exchange-correlation functionals (PBE, PBEsol, PBE-D2, PBE-D3, vdW-DF2, SOGGA, MN15-L, revM06-L, SCAN, and revTPSS) to a broad test set of MOFs to seek the most accurate functionals to study various structural aspects of porous solids, in particular to study lattice constants, unit cell volume, two types of pore size characteristics, bond lengths, bond angles, and torsional angles). The recently developed meta functionals revM06-L and SCAN, without adding any molecular mechanics terms, are able to predict more accurate structures than previously recommended functionals, both those without molecular mechanics terms (PBE, PBEsol, vdW-DF2, and revTPSS) and those with them (PBE-D2 and PBE-D3). To provide a broader test, these two functionals are also tested for lattice constants and band gaps of unary, binary, and ternary semiconductors. MDPI 2020-03-28 /pmc/articles/PMC7180546/ /pubmed/32231071 http://dx.doi.org/10.3390/molecules25071552 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Choudhuri, Indrani
Truhlar, Donald G.
Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks
title Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks
title_full Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks
title_fullStr Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks
title_full_unstemmed Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks
title_short Improved Predictive Tools for Structural Properties of Metal–Organic Frameworks
title_sort improved predictive tools for structural properties of metal–organic frameworks
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7180546/
https://www.ncbi.nlm.nih.gov/pubmed/32231071
http://dx.doi.org/10.3390/molecules25071552
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