<?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>2026-09-21T00:10:07Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/101457" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/101457</identifier><datestamp>2026-06-17T14:46:46Z</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="author" lang="en_US">Bernardis, Sarah</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">Massachusetts Institute of Technology. Department of Materials Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2016-03-03T20:29:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2016-03-03T20:29:45Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2012</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/101457</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">940567406</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Materials Science and Engineering, 2012.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">This electronic version was submitted by the student author.  The certified thesis is available in the Institute Archives and Special Collections.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from student-submitted PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (pages 127-137).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Impurities are detrimental to silicon-based solar cells. A deeper understanding of their evolution, microscopic distributions, and oxidation states throughout the refining processes may enable the discovery of novel refining techniques. Using synchrotron-based microprobe techniques and bulk chemical analyses, we investigate Fe, Ti, and Ca starting from silicon- and carbon bearing raw feedstock materials to metallurgical grade silicon (MG-Si), via carbothermic reduction. Before reduction, impurities are present in distinct micron- or sub-micron-sized minerals, frequently located at structural defects in Si-bearing compounds. Chemical states vary, they are generally oxidized (e.g., Fe²+, Fe³+). Impurity concentrations are directly correlated to the geological type of quartz: pegmatitic and hydrothermal quartz have fewer impurities than quartzite. Particles containing Cr, Mn, Fe, Ni, Cu, K, and/or Zn are also detected. In carbon-bearing compounds, Ca typically follows wood veins. In wood, Fe and Ti are diffused uniformly. In contrast, charcoal samples can contain particles of Fe, Ti, and/or Ca. The overall impurity content in the pine charcoal sample is higher than in the pine woodchip, suggesting that the charcoalization process introduces unintentional contamination. During reduction, silica evolution is analyzed in parallel to Fe. Fe is predominantly clustered in minerals which influence its oxidation state. Here, Fe is embedded in muscovite with predominance of Fe℗đ+. Initially, Fe is affected by the decomposition of muscovite and it is found as Fe²+; as muscovite disappears, Fe diffuses in the molten silica, segregating towards interfaces. Contrary to thermodynamic expectation, Fe is oxidized until late in the reduction process as the silica melt protects it from gases present in the furnace, hence minimizing its reduction, only partially measured at high temperatures. After reduction, the initial low- to sub- ppmw concentrations measured in the precursor quartz increase drastically in the MG-Si. The refining process is responsible for the increased contamination. Yet, most impurities are clustered at grain boundaries and a leaching process could remove them. Electrical fragmentation and a leaching treatment are tested as a method to expose grain boundaries of "dirty" quartzite and to remove impurities. The selective fragmentation proves to be a very important step in removing impurities via leaching.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Sarah Bernardis.</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">137 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">Materials Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Engineering impurity behavior on the micron-scale in metallurgical-grade silicon production</dim:field>
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   	&lt;Title>Engineering impurity behavior on the micron-scale in metallurgical-grade silicon production&lt;/Title>
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   	&lt;PublicationDate>2012&lt;/PublicationDate>
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        	&lt;DisplayName>Bernardis, Sarah&lt;/DisplayName>
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    &lt;Keyword>Materials Science and Engineering.&lt;/Keyword&gt;
   	&lt;Abstract>Impurities are detrimental to silicon-based solar cells. A deeper understanding of their evolution, microscopic distributions, and oxidation states throughout the refining processes may enable the discovery of novel refining techniques. Using synchrotron-based microprobe techniques and bulk chemical analyses, we investigate Fe, Ti, and Ca starting from silicon- and carbon bearing raw feedstock materials to metallurgical grade silicon (MG-Si), via carbothermic reduction. Before reduction, impurities are present in distinct micron- or sub-micron-sized minerals, frequently located at structural defects in Si-bearing compounds. Chemical states vary, they are generally oxidized (e.g., Fe²+, Fe³+). Impurity concentrations are directly correlated to the geological type of quartz: pegmatitic and hydrothermal quartz have fewer impurities than quartzite. Particles containing Cr, Mn, Fe, Ni, Cu, K, and/or Zn are also detected. In carbon-bearing compounds, Ca typically follows wood veins. In wood, Fe and Ti are diffused uniformly. In contrast, charcoal samples can contain particles of Fe, Ti, and/or Ca. The overall impurity content in the pine charcoal sample is higher than in the pine woodchip, suggesting that the charcoalization process introduces unintentional contamination. During reduction, silica evolution is analyzed in parallel to Fe. Fe is predominantly clustered in minerals which influence its oxidation state. Here, Fe is embedded in muscovite with predominance of Fe℗đ+. Initially, Fe is affected by the decomposition of muscovite and it is found as Fe²+; as muscovite disappears, Fe diffuses in the molten silica, segregating towards interfaces. Contrary to thermodynamic expectation, Fe is oxidized until late in the reduction process as the silica melt protects it from gases present in the furnace, hence minimizing its reduction, only partially measured at high temperatures. After reduction, the initial low- to sub- ppmw concentrations measured in the precursor quartz increase drastically in the MG-Si. The refining process is responsible for the increased contamination. Yet, most impurities are clustered at grain boundaries and a leaching process could remove them. Electrical fragmentation and a leaching treatment are tested as a method to expose grain boundaries of &amp;quot;dirty&amp;quot; quartzite and to remove impurities. The selective fragmentation proves to be a very important step in removing impurities via leaching.&lt;/Abstract>
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