Molecular dynamics simulation of pull-out Halloysite nanotube from polyurethane matrix

Molecular dynamics (MD) simulation has been applied to study of pull-out of Halloysite nanotubes (HNTs) from a polyurethane (PU) matrix. First, the Machine learning (ML) particle swarm optimization (PSO) method was used to obtain force field parameters for MD from data of density functional theory (...

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Main Authors: Mohammadreza Heidari Pebdani, Ronald E. Miller
Format: Article
Language:English
Published: SAGE Publishing 2021-09-01
Series:Advances in Mechanical Engineering
Online Access:https://doi.org/10.1177/16878140211044663
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spelling doaj-cda31a2749bb4f46970d56a31e99eb352021-09-18T22:33:26ZengSAGE PublishingAdvances in Mechanical Engineering1687-81402021-09-011310.1177/16878140211044663Molecular dynamics simulation of pull-out Halloysite nanotube from polyurethane matrixMohammadreza Heidari PebdaniRonald E. MillerMolecular dynamics (MD) simulation has been applied to study of pull-out of Halloysite nanotubes (HNTs) from a polyurethane (PU) matrix. First, the Machine learning (ML) particle swarm optimization (PSO) method was used to obtain force field parameters for MD from data of density functional theory (DFT) calculations. The current study shows the possibility of using a PSO technique to modify the force field with DFT data with less than 5 kcal/mol discrepancy. Second, we considered the influence of atomic interface on pulling out of HNT from PU. Energy variation has been proposed as the cohesion strength between matrix and nanoparticle. In addition, the best Lennard Jones parameters in the MD simulation make good agreement with an experimental sample stress-strain response.https://doi.org/10.1177/16878140211044663
collection DOAJ
language English
format Article
sources DOAJ
author Mohammadreza Heidari Pebdani
Ronald E. Miller
spellingShingle Mohammadreza Heidari Pebdani
Ronald E. Miller
Molecular dynamics simulation of pull-out Halloysite nanotube from polyurethane matrix
Advances in Mechanical Engineering
author_facet Mohammadreza Heidari Pebdani
Ronald E. Miller
author_sort Mohammadreza Heidari Pebdani
title Molecular dynamics simulation of pull-out Halloysite nanotube from polyurethane matrix
title_short Molecular dynamics simulation of pull-out Halloysite nanotube from polyurethane matrix
title_full Molecular dynamics simulation of pull-out Halloysite nanotube from polyurethane matrix
title_fullStr Molecular dynamics simulation of pull-out Halloysite nanotube from polyurethane matrix
title_full_unstemmed Molecular dynamics simulation of pull-out Halloysite nanotube from polyurethane matrix
title_sort molecular dynamics simulation of pull-out halloysite nanotube from polyurethane matrix
publisher SAGE Publishing
series Advances in Mechanical Engineering
issn 1687-8140
publishDate 2021-09-01
description Molecular dynamics (MD) simulation has been applied to study of pull-out of Halloysite nanotubes (HNTs) from a polyurethane (PU) matrix. First, the Machine learning (ML) particle swarm optimization (PSO) method was used to obtain force field parameters for MD from data of density functional theory (DFT) calculations. The current study shows the possibility of using a PSO technique to modify the force field with DFT data with less than 5 kcal/mol discrepancy. Second, we considered the influence of atomic interface on pulling out of HNT from PU. Energy variation has been proposed as the cohesion strength between matrix and nanoparticle. In addition, the best Lennard Jones parameters in the MD simulation make good agreement with an experimental sample stress-strain response.
url https://doi.org/10.1177/16878140211044663
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AT ronaldemiller moleculardynamicssimulationofpullouthalloysitenanotubefrompolyurethanematrix
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