<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-09-18T21:45:40Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/128996" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/128996</identifier><datestamp>2021-07-05T14:03:20Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Heather J. Kulik.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Wang, Mengyi,S.M.Massachusetts Institute of Technology.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Materials Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Materials Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2021-01-05T23:12:01Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2020</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/128996</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1227037122</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2020</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 56-61).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Water scarcity is one of the largest global challenges, affecting two-thirds of the world population. Water desalination and purification technologies, such as novel membrane processes and materials, are in great demand to produce clean water from contaminated sources or the sea. However, the lack of fundamental understanding of structure-property-performance has hindered the advancement of these techniques. In this study, we address this critical knowledge gap by adapting multiscale computational modeling to better understand the mechanisms of intrinsic molecular interaction in nanofluidic applications. We performed ab initio molecular dynamics to study the nanoscale solvation behavior of selected ions on finite graphene models. The degree of charge transfer between ion and water, and the effect of defects on dynamics and solvation has been investigated. Furthermore, a quantum mechanics/molecular mechanics (QM/MM) model for the accurate description of free energy changes in ion adsorption process has been developed. Lastly, we combined classical molecular dynamics and density functional theory (DFT) to elucidate the dielectric-driven mechanism of ionization behavior in nanoporous polyamide films. We seek to utilize this knowledge for the design of next-generation membranes for separation and water purification.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Mengyi Wang.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">S.M. Massachusetts Institute of Technology, Department of Materials Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">61 pages</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">MIT theses may be protected by copyright. Please reuse MIT thesis content according to the MIT Libraries Permissions Policy, which is available through the URL provided.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Materials Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Multiscale computational modeling of nanofluidic transport</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree" lang="en_US">Master</dim:field>
   <dim:field mdschema="mit" element="thesis" qualifier="department" lang="en_US">MatSci</dim:field>
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   	&lt;Title>Multiscale computational modeling of nanofluidic transport&lt;/Title>
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   	&lt;PublicationDate>2020&lt;/PublicationDate>
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        	&lt;DisplayName>Wang, Mengyi,S.M.Massachusetts Institute of Technology.&lt;/DisplayName>
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    &lt;Keyword>Materials Science and Engineering.&lt;/Keyword>
   	&lt;Abstract>Water scarcity is one of the largest global challenges, affecting two-thirds of the world population. Water desalination and purification technologies, such as novel membrane processes and materials, are in great demand to produce clean water from contaminated sources or the sea. However, the lack of fundamental understanding of structure-property-performance has hindered the advancement of these techniques. In this study, we address this critical knowledge gap by adapting multiscale computational modeling to better understand the mechanisms of intrinsic molecular interaction in nanofluidic applications. We performed ab initio molecular dynamics to study the nanoscale solvation behavior of selected ions on finite graphene models. The degree of charge transfer between ion and water, and the effect of defects on dynamics and solvation has been investigated. Furthermore, a quantum mechanics/molecular mechanics (QM/MM) model for the accurate description of free energy changes in ion adsorption process has been developed. Lastly, we combined classical molecular dynamics and density functional theory (DFT) to elucidate the dielectric-driven mechanism of ionization behavior in nanoporous polyamide films. We seek to utilize this knowledge for the design of next-generation membranes for separation and water purification.&lt;/Abstract>
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