<?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>2026-09-19T06:28:48Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/127301" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/127301</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">Bilge Yildiz.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Dinh, Minh A.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Nuclear Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Nuclear Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2020-09-15T21:50:59Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2020-09-15T21:50:59Z</dim:field>
   <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/1721.1/127301</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1191901295</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, May, 2020</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from the official PDF of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 83-85).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">First-principles, thermodynamic, and kinetic Monte Carlo methods are used to study the behavior of hydrogen defects in doped-tin oxides. The calculated results indicate that Mo-, W-, Nb-, F-doped SnO2 are the best doped-tin oxides at reducing hydrogen solubility in their matrices. We expect these oxides also to be the best for removing hydrogen via proton reduction and hydrogen evolution from their surfaces due to the relatively high electron concentration they can have. Especially, W-doped is also found to perform best as a hydrogen blocker at all temperature range due to its ability to block hydrogen diffusion in the form of substitutional defect at low-temperature regime around 600K, and its nature to increase tin cation vacancies blocking hydrogen diffusion at high-temperature regime around 1200K. The computational approach developed here can accelerate the design of insulating materials where hydrogen reactions and proton transport are important.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Minh Anh Dinh.</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 Nuclear Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">85 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">Nuclear Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Hydrogen in transition metal doped transparent conductive oxide SnO₂</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">NucEng</dim:field>
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   	&lt;Title>Hydrogen in transition metal doped transparent conductive oxide SnO₂&lt;/Title>
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   	&lt;PublicationDate>2020&lt;/PublicationDate>
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        	&lt;DisplayName>Dinh, Minh A.&lt;/DisplayName>
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    &lt;Keyword>Nuclear Science and Engineering.&lt;/Keyword>
   	&lt;Abstract>First-principles, thermodynamic, and kinetic Monte Carlo methods are used to study the behavior of hydrogen defects in doped-tin oxides. The calculated results indicate that Mo-, W-, Nb-, F-doped SnO2 are the best doped-tin oxides at reducing hydrogen solubility in their matrices. We expect these oxides also to be the best for removing hydrogen via proton reduction and hydrogen evolution from their surfaces due to the relatively high electron concentration they can have. Especially, W-doped is also found to perform best as a hydrogen blocker at all temperature range due to its ability to block hydrogen diffusion in the form of substitutional defect at low-temperature regime around 600K, and its nature to increase tin cation vacancies blocking hydrogen diffusion at high-temperature regime around 1200K. The computational approach developed here can accelerate the design of insulating materials where hydrogen reactions and proton transport are important.&lt;/Abstract>
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