<?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>2026-09-19T16:01:16Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/123352" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/123352</identifier><datestamp>2026-06-17T14:47:24Z</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">Mehran Kardar.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Chu, Sherry(Yun Sherry)</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Department of Physics.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department" lang="en_US">Massachusetts Institute of Technology. Department of Physics</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2020-01-08T19:32:16Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2020-01-08T19:32:16Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2019</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/123352</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1132804040</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">Thesis: Ph. D., Massachusetts Institute of Technology, Department of Physics, 2019</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 117-123).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, we study the statistics of fluctuating paths and interfaces in the presence of disorder. Specifically, we consider systems in the Kardar-Parisi-Zhang universality class for stochastic interface growth, from the perspectives of both fundamental statistical mechanics and applications to real world problems. We show numerically that the probability distribution associated with directed polymers in random media, a lattice model in this universality class, interpolates between Tracy-Widom and Gaussian distributions when spatial correlations are added to the random energy landscape. As a possible application, we examine the statistics of optimal paths on actual road networks as given by GPS routing, exploring connections and distinctions to directed polymers. We investigate also the effects of roughness in the growth front of a bacterial range expansion. There, we find that such roughness can account for the experimentally observed super-diffusivity, and leads to a rapid loss of genetic diversity. Finally, we explore the complete eigenvalue spectrum of products of random transfer matrices, as relevant to a finite density of non-intersecting directed polymers. We identify a correspondence in distribution to eigenvalues of Gaussian random matrices, and show that the density of states near the edge of the spectrum is altered by the presence of disorder.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Sherry Chu.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">Ph.D.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="collection" lang="en_US">Ph.D. Massachusetts Institute of Technology, Department of Physics</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">123 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 are protected by copyright. They may be viewed, downloaded, or printed from this source but further reproduction or distribution in any format is prohibited without written 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">Physics.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Fluctuating interfaces and paths in disordered and non-equilibrium systems</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   <dim:field mdschema="dspace" element="imported" lang="en_US">2020-01-08T19:32:15Z</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree" lang="en_US">Doctoral</dim:field>
   <dim:field mdschema="mit" element="thesis" qualifier="department" lang="en_US">Phys</dim:field>
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   	&lt;Title>Fluctuating interfaces and paths in disordered and non-equilibrium systems&lt;/Title>
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   	&lt;PublicationDate>2019&lt;/PublicationDate>
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        	&lt;DisplayName>Chu, Sherry(Yun Sherry)&lt;/DisplayName>
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    &lt;Keyword>Physics.&lt;/Keyword>
   	&lt;Abstract>In this thesis, we study the statistics of fluctuating paths and interfaces in the presence of disorder. Specifically, we consider systems in the Kardar-Parisi-Zhang universality class for stochastic interface growth, from the perspectives of both fundamental statistical mechanics and applications to real world problems. We show numerically that the probability distribution associated with directed polymers in random media, a lattice model in this universality class, interpolates between Tracy-Widom and Gaussian distributions when spatial correlations are added to the random energy landscape. As a possible application, we examine the statistics of optimal paths on actual road networks as given by GPS routing, exploring connections and distinctions to directed polymers. We investigate also the effects of roughness in the growth front of a bacterial range expansion. There, we find that such roughness can account for the experimentally observed super-diffusivity, and leads to a rapid loss of genetic diversity. Finally, we explore the complete eigenvalue spectrum of products of random transfer matrices, as relevant to a finite density of non-intersecting directed polymers. We identify a correspondence in distribution to eigenvalues of Gaussian random matrices, and show that the density of states near the edge of the spectrum is altered by the presence of disorder.&lt;/Abstract>
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