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Computation of drag and diffusion coefficient for coronavirus: I

Monte Carlo simulations and integral equation techniques allow for the flexible and efficient computation of drag and diffusion coefficients for virus mimetic particles. We highlight a Monte Carlo method that is useful for computing the drag on biomimetic particles in the free-molecular regime and a...

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Autores principales: White, Nathan, Seelig, John-David, Loyalka, Sudarshan K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103743/
https://www.ncbi.nlm.nih.gov/pubmed/33976456
http://dx.doi.org/10.1016/j.jaerosci.2021.105806
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author White, Nathan
Seelig, John-David
Loyalka, Sudarshan K.
author_facet White, Nathan
Seelig, John-David
Loyalka, Sudarshan K.
author_sort White, Nathan
collection PubMed
description Monte Carlo simulations and integral equation techniques allow for the flexible and efficient computation of drag and diffusion coefficients for virus mimetic particles. We highlight a Monte Carlo method that is useful for computing the drag on biomimetic particles in the free-molecular regime and a numerical technique to solve a boundary integral equation (related to the Stokes equation) in the hydrodynamic limit. The free-molecular and the continuum results allow the construction of an approximation for the drag applicable over the full range of Knudsen numbers. Finally, we outline how this work will be useful in modeling viral transport in air and fluids and in viral morphology measurements and in viral separations via electrospray-differential mobility analyzers (ES-DMA).
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spelling pubmed-81037432021-05-07 Computation of drag and diffusion coefficient for coronavirus: I White, Nathan Seelig, John-David Loyalka, Sudarshan K. J Aerosol Sci Article Monte Carlo simulations and integral equation techniques allow for the flexible and efficient computation of drag and diffusion coefficients for virus mimetic particles. We highlight a Monte Carlo method that is useful for computing the drag on biomimetic particles in the free-molecular regime and a numerical technique to solve a boundary integral equation (related to the Stokes equation) in the hydrodynamic limit. The free-molecular and the continuum results allow the construction of an approximation for the drag applicable over the full range of Knudsen numbers. Finally, we outline how this work will be useful in modeling viral transport in air and fluids and in viral morphology measurements and in viral separations via electrospray-differential mobility analyzers (ES-DMA). Elsevier Ltd. 2021-09 2021-05-07 /pmc/articles/PMC8103743/ /pubmed/33976456 http://dx.doi.org/10.1016/j.jaerosci.2021.105806 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
White, Nathan
Seelig, John-David
Loyalka, Sudarshan K.
Computation of drag and diffusion coefficient for coronavirus: I
title Computation of drag and diffusion coefficient for coronavirus: I
title_full Computation of drag and diffusion coefficient for coronavirus: I
title_fullStr Computation of drag and diffusion coefficient for coronavirus: I
title_full_unstemmed Computation of drag and diffusion coefficient for coronavirus: I
title_short Computation of drag and diffusion coefficient for coronavirus: I
title_sort computation of drag and diffusion coefficient for coronavirus: i
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8103743/
https://www.ncbi.nlm.nih.gov/pubmed/33976456
http://dx.doi.org/10.1016/j.jaerosci.2021.105806
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