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Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems

Modern chemistry seems to be unlimited in molecular size and elemental composition. Metal‐organic frameworks or biological macromolecules involve complex architectures and a large variety of elements. Yet, a general and broadly applicable theoretical method to describe the structures and interaction...

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Detalles Bibliográficos
Autores principales: Spicher, Sebastian, Grimme, Stefan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267649/
https://www.ncbi.nlm.nih.gov/pubmed/32343883
http://dx.doi.org/10.1002/anie.202004239
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author Spicher, Sebastian
Grimme, Stefan
author_facet Spicher, Sebastian
Grimme, Stefan
author_sort Spicher, Sebastian
collection PubMed
description Modern chemistry seems to be unlimited in molecular size and elemental composition. Metal‐organic frameworks or biological macromolecules involve complex architectures and a large variety of elements. Yet, a general and broadly applicable theoretical method to describe the structures and interactions of molecules beyond the 1000‐atom size regime semi‐quantitatively is not self‐evident. For this purpose, a generic force field named GFN‐FF is presented, which is completely newly developed to enable fast structure optimizations and molecular‐dynamics simulations for basically any chemical structure consisting of elements up to radon. The freely available computer program requires only starting coordinates and elemental composition as input from which, fully automatically, all potential‐energy terms are constructed. GFN‐FF outperforms other force fields in terms of generality and accuracy, approaching the performance of much more elaborate quantum‐mechanical methods in many cases.
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spelling pubmed-72676492020-06-03 Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems Spicher, Sebastian Grimme, Stefan Angew Chem Int Ed Engl Research Articles Modern chemistry seems to be unlimited in molecular size and elemental composition. Metal‐organic frameworks or biological macromolecules involve complex architectures and a large variety of elements. Yet, a general and broadly applicable theoretical method to describe the structures and interactions of molecules beyond the 1000‐atom size regime semi‐quantitatively is not self‐evident. For this purpose, a generic force field named GFN‐FF is presented, which is completely newly developed to enable fast structure optimizations and molecular‐dynamics simulations for basically any chemical structure consisting of elements up to radon. The freely available computer program requires only starting coordinates and elemental composition as input from which, fully automatically, all potential‐energy terms are constructed. GFN‐FF outperforms other force fields in terms of generality and accuracy, approaching the performance of much more elaborate quantum‐mechanical methods in many cases. John Wiley and Sons Inc. 2020-05-18 2020-09-01 /pmc/articles/PMC7267649/ /pubmed/32343883 http://dx.doi.org/10.1002/anie.202004239 Text en © 2020 The Authors. Published by Wiley-VCH Verlag GmbH & Co. KGaA https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Spicher, Sebastian
Grimme, Stefan
Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems
title Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems
title_full Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems
title_fullStr Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems
title_full_unstemmed Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems
title_short Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems
title_sort robust atomistic modeling of materials, organometallic, and biochemical systems
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7267649/
https://www.ncbi.nlm.nih.gov/pubmed/32343883
http://dx.doi.org/10.1002/anie.202004239
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