Exploiting the quantum mechanically derived force field for functional materials simulations

Abstract The computational design of functional materials relies heavily on large-scale atomistic simulations. Such simulations are often problematic for conventional classical force fields, which require tedious and time-consuming parameterization of interaction parameters. The problem can be solve...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Alexey Odinokov, Alexander Yakubovich, Won-Joon Son, Yongsik Jung, Hyeonho Choi
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Acceso en línea:https://doaj.org/article/e7ff4e264a824374b6d4e4a285a70ee1
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:e7ff4e264a824374b6d4e4a285a70ee1
record_format dspace
spelling oai:doaj.org-article:e7ff4e264a824374b6d4e4a285a70ee12021-12-02T19:17:04ZExploiting the quantum mechanically derived force field for functional materials simulations10.1038/s41524-021-00628-z2057-3960https://doaj.org/article/e7ff4e264a824374b6d4e4a285a70ee12021-09-01T00:00:00Zhttps://doi.org/10.1038/s41524-021-00628-zhttps://doaj.org/toc/2057-3960Abstract The computational design of functional materials relies heavily on large-scale atomistic simulations. Such simulations are often problematic for conventional classical force fields, which require tedious and time-consuming parameterization of interaction parameters. The problem can be solved using a quantum mechanically derived force field (QMDFF)—a system-specific force field derived directly from the first-principles calculations. We present a computational approach for atomistic simulations of complex molecular systems, which include the treatment of chemical reactions with the empirical valence bond approach. The accuracy of the QMDFF is verified by comparison with the experimental properties of liquid solvents. We illustrate the capabilities of our methodology to simulate functional materials in several case studies: chemical degradation of material in organic light-emitting diode (OLED), polymer chain packing, material morphology of organometallic photoresists. The presented methodology is fast, accurate, and highly automated, which allows its application in diverse areas of materials science.Alexey OdinokovAlexander YakubovichWon-Joon SonYongsik JungHyeonho ChoiNature PortfolioarticleMaterials of engineering and construction. Mechanics of materialsTA401-492Computer softwareQA76.75-76.765ENnpj Computational Materials, Vol 7, Iss 1, Pp 1-9 (2021)
institution DOAJ
collection DOAJ
language EN
topic Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
spellingShingle Materials of engineering and construction. Mechanics of materials
TA401-492
Computer software
QA76.75-76.765
Alexey Odinokov
Alexander Yakubovich
Won-Joon Son
Yongsik Jung
Hyeonho Choi
Exploiting the quantum mechanically derived force field for functional materials simulations
description Abstract The computational design of functional materials relies heavily on large-scale atomistic simulations. Such simulations are often problematic for conventional classical force fields, which require tedious and time-consuming parameterization of interaction parameters. The problem can be solved using a quantum mechanically derived force field (QMDFF)—a system-specific force field derived directly from the first-principles calculations. We present a computational approach for atomistic simulations of complex molecular systems, which include the treatment of chemical reactions with the empirical valence bond approach. The accuracy of the QMDFF is verified by comparison with the experimental properties of liquid solvents. We illustrate the capabilities of our methodology to simulate functional materials in several case studies: chemical degradation of material in organic light-emitting diode (OLED), polymer chain packing, material morphology of organometallic photoresists. The presented methodology is fast, accurate, and highly automated, which allows its application in diverse areas of materials science.
format article
author Alexey Odinokov
Alexander Yakubovich
Won-Joon Son
Yongsik Jung
Hyeonho Choi
author_facet Alexey Odinokov
Alexander Yakubovich
Won-Joon Son
Yongsik Jung
Hyeonho Choi
author_sort Alexey Odinokov
title Exploiting the quantum mechanically derived force field for functional materials simulations
title_short Exploiting the quantum mechanically derived force field for functional materials simulations
title_full Exploiting the quantum mechanically derived force field for functional materials simulations
title_fullStr Exploiting the quantum mechanically derived force field for functional materials simulations
title_full_unstemmed Exploiting the quantum mechanically derived force field for functional materials simulations
title_sort exploiting the quantum mechanically derived force field for functional materials simulations
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/e7ff4e264a824374b6d4e4a285a70ee1
work_keys_str_mv AT alexeyodinokov exploitingthequantummechanicallyderivedforcefieldforfunctionalmaterialssimulations
AT alexanderyakubovich exploitingthequantummechanicallyderivedforcefieldforfunctionalmaterialssimulations
AT wonjoonson exploitingthequantummechanicallyderivedforcefieldforfunctionalmaterialssimulations
AT yongsikjung exploitingthequantummechanicallyderivedforcefieldforfunctionalmaterialssimulations
AT hyeonhochoi exploitingthequantummechanicallyderivedforcefieldforfunctionalmaterialssimulations
_version_ 1718376945016635392