Accurate simulations of helium pick-up experiments using a rejection-free Monte Carlo method
In this paper, we present Monte Carlo simulations of helium droplet pick-up experiments with the intention of developing a robust and accurate theoretical approach for interpreting experimental helium droplet calorimetry data. Our approach is capable of capturing the evaporative behavior of helium d...
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Format: | Article |
Language: | English |
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AIP Publishing LLC
2018-04-01
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Series: | AIP Advances |
Online Access: | http://dx.doi.org/10.1063/1.5025064 |
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author | Matthew Dutra Robert Hinde |
author_facet | Matthew Dutra Robert Hinde |
author_sort | Matthew Dutra |
collection | DOAJ |
description | In this paper, we present Monte Carlo simulations of helium droplet pick-up experiments with the intention of developing a robust and accurate theoretical approach for interpreting experimental helium droplet calorimetry data. Our approach is capable of capturing the evaporative behavior of helium droplets following dopant acquisition, allowing for a more realistic description of the pick-up process. Furthermore, we circumvent the traditional assumption of bulk helium behavior by utilizing density functional calculations of the size-dependent helium droplet chemical potential. The results of this new Monte Carlo technique are compared to commonly used Poisson pick-up statistics for simulations that reflect a broad range of experimental parameters. We conclude by offering an assessment of both of these theoretical approaches in the context of our observed results. |
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id | doaj.art-8045fb1204874b18b416eaab1c4bba42 |
institution | Directory Open Access Journal |
issn | 2158-3226 |
language | English |
last_indexed | 2024-12-10T10:18:22Z |
publishDate | 2018-04-01 |
publisher | AIP Publishing LLC |
record_format | Article |
series | AIP Advances |
spelling | doaj.art-8045fb1204874b18b416eaab1c4bba422022-12-22T01:52:57ZengAIP Publishing LLCAIP Advances2158-32262018-04-0184045203045203-1110.1063/1.5025064070803ADVAccurate simulations of helium pick-up experiments using a rejection-free Monte Carlo methodMatthew Dutra0Robert Hinde1Department of Chemistry, University of Tennessee, Knoxville, Tennessee 37996-1600, USADepartment of Chemistry, University of Tennessee, Knoxville, Tennessee 37996-1600, USAIn this paper, we present Monte Carlo simulations of helium droplet pick-up experiments with the intention of developing a robust and accurate theoretical approach for interpreting experimental helium droplet calorimetry data. Our approach is capable of capturing the evaporative behavior of helium droplets following dopant acquisition, allowing for a more realistic description of the pick-up process. Furthermore, we circumvent the traditional assumption of bulk helium behavior by utilizing density functional calculations of the size-dependent helium droplet chemical potential. The results of this new Monte Carlo technique are compared to commonly used Poisson pick-up statistics for simulations that reflect a broad range of experimental parameters. We conclude by offering an assessment of both of these theoretical approaches in the context of our observed results.http://dx.doi.org/10.1063/1.5025064 |
spellingShingle | Matthew Dutra Robert Hinde Accurate simulations of helium pick-up experiments using a rejection-free Monte Carlo method AIP Advances |
title | Accurate simulations of helium pick-up experiments using a rejection-free Monte Carlo method |
title_full | Accurate simulations of helium pick-up experiments using a rejection-free Monte Carlo method |
title_fullStr | Accurate simulations of helium pick-up experiments using a rejection-free Monte Carlo method |
title_full_unstemmed | Accurate simulations of helium pick-up experiments using a rejection-free Monte Carlo method |
title_short | Accurate simulations of helium pick-up experiments using a rejection-free Monte Carlo method |
title_sort | accurate simulations of helium pick up experiments using a rejection free monte carlo method |
url | http://dx.doi.org/10.1063/1.5025064 |
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