A new mathematical interpretation of disordered nanoscale material systems for computational modelling
A new mathematical interpretation of disordered nanoscale material systems for computational modelling
As the era of microscale technologies becomes increasingly overcome by that of the nanoscale, an ever-increasing emphasis on the accurate modelling of such scaled systems is apparent. This work explores the combination of the finite element method with a new set of statistical algorithms to model the optical properties of disordered nanoscale morphologies. A silicon surface textured with a random distribution of nanowires is created to simulate, as an example study, how it responds to incident light. By averaging over many iterations of the model in which the structural parameters are varied around average values, a good match to experiment is achieved, showcasing an error as low as 1.34% in magnitude against measured data. This research introduces a fresh computational approach to simulating heterogeneous material structures widely applicable for modelling across the field of nanotechnology.
COMSOL, Heterogeneous, Materials, Modelling, Nanoscale
1-15
Tyson, Jack
72808b94-f100-4205-9e7e-89405dca45ac
Rahman, Tasmiat
e7432efa-2683-484d-9ec6-2f9c568d30cd
Boden, Stuart
83976b65-e90f-42d1-9a01-fe9cfc571bf8
October 2020
Tyson, Jack
72808b94-f100-4205-9e7e-89405dca45ac
Rahman, Tasmiat
e7432efa-2683-484d-9ec6-2f9c568d30cd
Boden, Stuart
83976b65-e90f-42d1-9a01-fe9cfc571bf8
Tyson, Jack, Rahman, Tasmiat and Boden, Stuart
(2020)
A new mathematical interpretation of disordered nanoscale material systems for computational modelling.
Computer Physics Communications, 255, , [107399].
(doi:10.1016/j.cpc.2020.107399).
Abstract
As the era of microscale technologies becomes increasingly overcome by that of the nanoscale, an ever-increasing emphasis on the accurate modelling of such scaled systems is apparent. This work explores the combination of the finite element method with a new set of statistical algorithms to model the optical properties of disordered nanoscale morphologies. A silicon surface textured with a random distribution of nanowires is created to simulate, as an example study, how it responds to incident light. By averaging over many iterations of the model in which the structural parameters are varied around average values, a good match to experiment is achieved, showcasing an error as low as 1.34% in magnitude against measured data. This research introduces a fresh computational approach to simulating heterogeneous material structures widely applicable for modelling across the field of nanotechnology.
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A new mathematical interpretation of disordered nanoscale material systems for computational modelling
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Nanoscale Material Systems for Computational Modelling
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Submitted date: 28 October 2019
Accepted/In Press date: 24 May 2020
e-pub ahead of print date: 30 May 2020
Published date: October 2020
Keywords:
COMSOL, Heterogeneous, Materials, Modelling, Nanoscale
Identifiers
Local EPrints ID: 441097
URI: http://eprints.soton.ac.uk/id/eprint/441097
ISSN: 0010-4655
PURE UUID: 82c59f21-5ee7-4925-aa58-16ab25d47896
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Date deposited: 01 Jun 2020 16:30
Last modified: 16 Jul 2024 01:46
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Author:
Jack Tyson
Author:
Tasmiat Rahman
Author:
Stuart Boden
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