<?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>2026-09-20T07:59:32Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/120891" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/120891</identifier><datestamp>2022-01-13T07:54:01Z</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">Ron Weiss and George Stiny.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Gumuskaya, Gizem</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 Architecture</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">2019-03-11T19:36:22Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2019-03-11T19:36:22Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2018</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/120891</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">1088727963</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Architecture, 2018.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2018.</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 127-131).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">In this thesis, I introduce a novel biofabrication method Architectures from Staged Self-assembly of Morphogenetic Building Elements (ASSEMBLE), that brings about self-constructing biological structures at the architectural scale by merging scientists' newly developing ability to control the morphogenetic power of living matter with architects' and builders' discrete assembly method, which they have used for centuries to scale up their structures. ASSEMBLE arose from a recognition that in nature, simple building blocks, such as biological cells, self-organize into higher-order, complex structures with no descriptive blueprints at hand and no intelligent designer telling them what to do; instead, they execute a set of generative rules encoded in their DNA. By editing these rules, synthetic biologists can now program living cells to undergo synthetic morphogenesis, and thereby construct higher-order structures by design. However, so far, the biggest programmable structures we have developed in this way are merely on the order of millimeters, which is too small to be relevant in architectural practice. ASSEMBLE bridges this gap by employing these millimeter-scale structures as morphogenetic building elements that can self-assemble with one another through a set of physical assembly cues they are programmed grow on their surfaces. To identify which assembly cues needed on a group of morphogenetic building elements for them to self-assemble into a target structure, I also introduce a 3D global-to-local structural compiler. In this way, ASSEMBLE enables us to create self-constructing architectures by exploiting biological cells as an infinite supply of building material, into which desired structural</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Gizem Gumuskaya.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">131 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">Architecture.</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">Form from within : scaling up self-constructing biological architectures through a novel application of synthetic morphogenesis</dim:field>
   <dim:field mdschema="dc" element="title" qualifier="alternative" lang="en_US">Scaling up self-constructing biological architectures through a novel application of synthetic morphogenesis</dim:field>
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   	&lt;Title>Form from within : scaling up self-constructing biological architectures through a novel application of synthetic morphogenesis&lt;/Title>
   	&lt;Subtitle>Scaling up self-constructing biological architectures through a novel application of synthetic morphogenesis&lt;/Subtitle>
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   	&lt;PublicationDate>2018&lt;/PublicationDate>
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        	&lt;DisplayName>Gumuskaya, Gizem&lt;/DisplayName>
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    &lt;Keyword>Architecture.&lt;/Keyword>
    &lt;Keyword>Electrical Engineering and Computer Science.&lt;/Keyword>
   	&lt;Abstract>In this thesis, I introduce a novel biofabrication method Architectures from Staged Self-assembly of Morphogenetic Building Elements (ASSEMBLE), that brings about self-constructing biological structures at the architectural scale by merging scientists&amp;apos; newly developing ability to control the morphogenetic power of living matter with architects&amp;apos; and builders&amp;apos; discrete assembly method, which they have used for centuries to scale up their structures. ASSEMBLE arose from a recognition that in nature, simple building blocks, such as biological cells, self-organize into higher-order, complex structures with no descriptive blueprints at hand and no intelligent designer telling them what to do; instead, they execute a set of generative rules encoded in their DNA. By editing these rules, synthetic biologists can now program living cells to undergo synthetic morphogenesis, and thereby construct higher-order structures by design. However, so far, the biggest programmable structures we have developed in this way are merely on the order of millimeters, which is too small to be relevant in architectural practice. ASSEMBLE bridges this gap by employing these millimeter-scale structures as morphogenetic building elements that can self-assemble with one another through a set of physical assembly cues they are programmed grow on their surfaces. To identify which assembly cues needed on a group of morphogenetic building elements for them to self-assemble into a target structure, I also introduce a 3D global-to-local structural compiler. In this way, ASSEMBLE enables us to create self-constructing architectures by exploiting biological cells as an infinite supply of building material, into which desired structural&lt;/Abstract>
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