Machine-Learned Free Energy Surfaces for Capillary Condensation and Evaporation in Mesopores

Using molecular simulations, we study the processes of capillary condensation and capillary evaporation in model mesopores. To determine the phase transition pathway, as well as the corresponding free energy profile, we carry out enhanced sampling molecular simulations using entropy as a reaction co...

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Main Authors: Caroline Desgranges, Jerome Delhommelle
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/24/1/97
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author Caroline Desgranges
Jerome Delhommelle
author_facet Caroline Desgranges
Jerome Delhommelle
author_sort Caroline Desgranges
collection DOAJ
description Using molecular simulations, we study the processes of capillary condensation and capillary evaporation in model mesopores. To determine the phase transition pathway, as well as the corresponding free energy profile, we carry out enhanced sampling molecular simulations using entropy as a reaction coordinate to map the onset of order during the condensation process and of disorder during the evaporation process. The structural analysis shows the role played by intermediate states, characterized by the onset of capillary liquid bridges and bubbles. We also analyze the dependence of the free energy barrier on the pore width. Furthermore, we propose a method to build a machine learning model for the prediction of the free energy surfaces underlying capillary phase transition processes in mesopores.
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spelling doaj.art-29149976cc704f36989ef00c0fb7d37b2023-11-23T13:41:51ZengMDPI AGEntropy1099-43002022-01-012419710.3390/e24010097Machine-Learned Free Energy Surfaces for Capillary Condensation and Evaporation in MesoporesCaroline Desgranges0Jerome Delhommelle1MetaSimulation of Nonequilibrium Processes (MSNEP) Group, Tech Accelerator, University of North Dakota, Grand Forks, ND 58202, USAMetaSimulation of Nonequilibrium Processes (MSNEP) Group, Tech Accelerator, University of North Dakota, Grand Forks, ND 58202, USAUsing molecular simulations, we study the processes of capillary condensation and capillary evaporation in model mesopores. To determine the phase transition pathway, as well as the corresponding free energy profile, we carry out enhanced sampling molecular simulations using entropy as a reaction coordinate to map the onset of order during the condensation process and of disorder during the evaporation process. The structural analysis shows the role played by intermediate states, characterized by the onset of capillary liquid bridges and bubbles. We also analyze the dependence of the free energy barrier on the pore width. Furthermore, we propose a method to build a machine learning model for the prediction of the free energy surfaces underlying capillary phase transition processes in mesopores.https://www.mdpi.com/1099-4300/24/1/97capillaryphase transitionfree energyactivated processliquid bridgesbubbles
spellingShingle Caroline Desgranges
Jerome Delhommelle
Machine-Learned Free Energy Surfaces for Capillary Condensation and Evaporation in Mesopores
Entropy
capillary
phase transition
free energy
activated process
liquid bridges
bubbles
title Machine-Learned Free Energy Surfaces for Capillary Condensation and Evaporation in Mesopores
title_full Machine-Learned Free Energy Surfaces for Capillary Condensation and Evaporation in Mesopores
title_fullStr Machine-Learned Free Energy Surfaces for Capillary Condensation and Evaporation in Mesopores
title_full_unstemmed Machine-Learned Free Energy Surfaces for Capillary Condensation and Evaporation in Mesopores
title_short Machine-Learned Free Energy Surfaces for Capillary Condensation and Evaporation in Mesopores
title_sort machine learned free energy surfaces for capillary condensation and evaporation in mesopores
topic capillary
phase transition
free energy
activated process
liquid bridges
bubbles
url https://www.mdpi.com/1099-4300/24/1/97
work_keys_str_mv AT carolinedesgranges machinelearnedfreeenergysurfacesforcapillarycondensationandevaporationinmesopores
AT jeromedelhommelle machinelearnedfreeenergysurfacesforcapillarycondensationandevaporationinmesopores