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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2021-09-01
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Series: | Advances in Mechanical Engineering |
Online Access: | https://doi.org/10.1177/16878140211044663 |
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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 |
work_keys_str_mv |
AT mohammadrezaheidaripebdani moleculardynamicssimulationofpullouthalloysitenanotubefrompolyurethanematrix AT ronaldemiller moleculardynamicssimulationofpullouthalloysitenanotubefrompolyurethanematrix |
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1717376846706769920 |