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...

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Main Authors: Alexey Odinokov, Alexander Yakubovich, Won-Joon Son, Yongsik Jung, Hyeonho Choi
Format: Article
Language:English
Published: Nature Publishing Group 2021-09-01
Series:npj Computational Materials
Online Access:https://doi.org/10.1038/s41524-021-00628-z
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spelling doaj-e7ff4e264a824374b6d4e4a285a70ee12021-10-03T11:20:16ZengNature Publishing Groupnpj Computational Materials2057-39602021-09-01711910.1038/s41524-021-00628-zExploiting the quantum mechanically derived force field for functional materials simulationsAlexey Odinokov0Alexander Yakubovich1Won-Joon Son2Yongsik Jung3Hyeonho Choi4Samsung R&D Institute Russia (SRR), Samsung ElectronicsSamsung R&D Institute Russia (SRR), Samsung ElectronicsData and Information Technology Center, Samsung ElectronicsSamsung Advanced Institute of Technology (SAIT), Samsung ElectronicsSamsung Advanced Institute of Technology (SAIT), Samsung ElectronicsAbstract 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.https://doi.org/10.1038/s41524-021-00628-z
collection DOAJ
language English
format Article
sources DOAJ
author Alexey Odinokov
Alexander Yakubovich
Won-Joon Son
Yongsik Jung
Hyeonho Choi
spellingShingle Alexey Odinokov
Alexander Yakubovich
Won-Joon Son
Yongsik Jung
Hyeonho Choi
Exploiting the quantum mechanically derived force field for functional materials simulations
npj Computational Materials
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 Publishing Group
series npj Computational Materials
issn 2057-3960
publishDate 2021-09-01
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.
url https://doi.org/10.1038/s41524-021-00628-z
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