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Massachusetts Institute of Technology

Ion-exchanged metal-organic frameworks for industrially relevant catalysis applications

Abstract

dc:description.abstract

The inorganic clusters of metal-organic frameworks (MOFs) offer a unique combination of synthetic tunability, structural uniformity, and site accessibility uncommon in conventional heterogeneous catalysts. As such, the inorganic nodes of MOFs provide a promising platform that can be engineered to promote challenging chemical transformations for which no adequate solid catalysts exist. This thesis focuses on the postsynthetic ion exchange behavior of the inorganic nodes in MOFs and its use in the preparation of ion-exchanged MOF catalysts for industrially relevant chemical transformations. Chapter 1 introduces the characteristics of MOFs relevant to heterogeneous catalysis and highlights their structural tunability with an emphasis on their node ion exchange behavior.

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
2019

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Park, Hoyoung Daniel.
Advisor dc:contributor.advisor
  • Yuriy Román-Leshkov and Mircea Dincă.

Subjects

dc:subject × 1

Rights

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

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/123728
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/123728

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

Park, Hoyoung Daniel.. Ion-exchanged metal-organic frameworks for industrially relevant catalysis applications. Massachusetts Institute of Technology, 2019. https://hdl.handle.net/1721.1/123728