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Massachusetts Institute of Technology

Towards quantitatively predicting the properties of gels and elastomers

Abstract

dc:description.abstract

Polymer networks are critical to modern society. Applications of polymer networks, in the form of gels and elastomers, provide essential support for everyday life. However, while many aspects of the physics of polymer networks have been established in the past few decades, most theoretical efforts have been centered around the study of model polymer networks with highly regular topology. While this framework has provided important insights into the physics of polymer networks, the neglection of variation in network topology can significantly undermine the predictive power of existing classical theories. To provide accurate predictions, the role of network topology must be considered. Therefore, this thesis investigates the impact of topological defects on the properties of polymer networks. The first part of this thesis focuses on the topology of end-linked networks and the formation of defects.

Degree

thesis:*
Name thesis:degree_name
Doctoral
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Chemical Engineering
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Lin, Tzyy-Shyang.
Advisor dc:contributor.advisor
  • Bradley D. Olsen.

Subjects

dc:subject × 1

Rights

dc:rights
Statement dc:rights
  • 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.
Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/130659
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/130659

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Lin, Tzyy-Shyang.. Towards quantitatively predicting the properties of gels and elastomers. Massachusetts Institute of Technology, 2021. https://hdl.handle.net/1721.1/130659