<?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>2026-09-20T07:59:33Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/99832" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/99832</identifier><datestamp>2026-06-17T14:43:15Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131022</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">Duane S. Boning.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Johnson, Joy Marie</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2015-11-09T19:51:44Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2015-11-09T19:51:44Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2015</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/99832</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">927405078</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2015.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 177-188).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">A theoretical modeling approach is developed to predict silica-specific instability in chemical-mechanical polishing (CMP) slurries. In CMP, the formation of large agglomerates is of great concern, as these large particles are associated with high defectivity and poor polishing performance. The proposed model describes the complex CMP slurry system as a colloid under high non-linear shear conditions. The model diverges from the classic colloidal models by focusing on the following: reaction limited agglomeration (RLA) bounded by silica-specific modes of transitory bonding, and modified DVLO assumptions to include chemical activation and hydrodynamic agglomerate break-up condition evaluation. In order to build physical intuition and predict key model parameters, fundamental studies and novel metrology of agglomerates is performed.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Joy Marie Johnson.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">188 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">M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.</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">Electrical Engineering and Computer Science.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Slurry abrasive particle agglomeration experimentation and modeling for chemical mechanical planarization (CMP)</dim:field>
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   	&lt;Title>Slurry abrasive particle agglomeration experimentation and modeling for chemical mechanical planarization (CMP)&lt;/Title>
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   	&lt;PublicationDate>2015&lt;/PublicationDate>
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        	&lt;DisplayName>Johnson, Joy Marie&lt;/DisplayName>
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    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>A theoretical modeling approach is developed to predict silica-specific instability in chemical-mechanical polishing (CMP) slurries. In CMP, the formation of large agglomerates is of great concern, as these large particles are associated with high defectivity and poor polishing performance. The proposed model describes the complex CMP slurry system as a colloid under high non-linear shear conditions. The model diverges from the classic colloidal models by focusing on the following: reaction limited agglomeration (RLA) bounded by silica-specific modes of transitory bonding, and modified DVLO assumptions to include chemical activation and hydrodynamic agglomerate break-up condition evaluation. In order to build physical intuition and predict key model parameters, fundamental studies and novel metrology of agglomerates is performed.&lt;/Abstract>
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