Title:
Computational assessment of zeolitic imidazolate frameworks for kinetic gas separations

dc.contributor.advisor Sholl, David S.
dc.contributor.author Verploegh, Ross James
dc.contributor.committeeMember Nair, Sankar
dc.contributor.committeeMember Jones, Christopher W.
dc.contributor.committeeMember Walton, Krista S.
dc.contributor.committeeMember Orlando, Thomas M.
dc.contributor.department Chemical and Biomolecular Engineering
dc.date.accessioned 2017-08-17T19:01:19Z
dc.date.available 2017-08-17T19:01:19Z
dc.date.created 2017-08
dc.date.issued 2017-07-27
dc.date.submitted August 2017
dc.date.updated 2017-08-17T19:01:19Z
dc.description.abstract Industrial separations of light gases and hydrocarbons are currently performed with well-established energy and capital intensive distillation. Within the last decade, certain research advances have energy suppliers focused on novel separation techniques using metal-organic frameworks (MOFs) as a possible replacement for traditional distillation. Experimental groups at Georgia Tech have developed techniques for creating thin-film and mixed-matrix MOF membranes that would perform these commodity fuel and reagent separations at ambient temperature and moderate pressures. Zeolitic imidazolate frameworks (ZIFs), a family of MOFs, were shown experimentally to act as excellent molecular sieves for C1-C4 hydrocarbons and other light gases. They also have superior binding properties to polymer supports and are more easily synthesized than zeolites, enhancing large-scale manufacturability. Understanding diffusion properties of light gases and hydrocarbons in ZIFs was needed in determining which ZIFs have the most industrial promise, providing direction for future experimental efforts, and also to contribute to fundamental knowledge of diffusion processes. In this thesis, I, in collaboration with many talented researchers, established a suite of computational methods that are suited to tackling several significant challenges facing the research community studying ZIFs. ZIFs are flexible materials and this inherent material property required the use of fully flexible molecular dynamics calculations to explain hydrocarbon-ZIF framework interactions during the diffusion process. These computational methods were extended to predict loading-dependent, single-component transport diffusion coefficients of hydrocarbons and membrane permeabilities. Because there was no previous standard flexible force field for ZIF frameworks, a classical force field was developed based on Density Functional Theory (DFT) calculations capable of accurately predicting small molecule diffusivities. In a joint experimental-computational collaboration, I aided in the development of a protocol for determining the local ordering of the organic linkers in binary mixed-linker ZIFs. This structural knowledge of mixed-linker ZIFs on the unit cell level prompted the creation of a lattice-diffusion model, which was used to qualitatively explain the impact of local ordering on diffusion as well as provide quantitative predictions of diffusion through binary mixed-linker ZIFs. This work enhances scientific knowledge on molecular transport in single and mixed-linker ZIFs and provides energy suppliers with the tools to engineer new separation alternatives of light gases.
dc.description.degree Ph.D.
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/58726
dc.language.iso en_US
dc.publisher Georgia Institute of Technology
dc.subject Metal-organic frameworks
dc.subject Diffusion
dc.subject Molecular simulations
dc.subject Hydrocarbons
dc.subject Gas separations
dc.subject Membranes
dc.subject Zeolitic imidazolate frameworks
dc.subject Adsorption
dc.title Computational assessment of zeolitic imidazolate frameworks for kinetic gas separations
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.advisor Sholl, David S.
local.contributor.corporatename School of Chemical and Biomolecular Engineering
local.contributor.corporatename College of Engineering
relation.isAdvisorOfPublication 95adf488-e447-4e36-882f-01c8887e434a
relation.isOrgUnitOfPublication 6cfa2dc6-c5bf-4f6b-99a2-57105d8f7a6f
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
thesis.degree.level Doctoral
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