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Data-Driven Methods to Accelerate the Design of Metal-Organic Frameworks

Description:

Metal-organic frameworks (MOFs) are a class of nanoporous materials with highly tunable pore shape and chemistry. They are synthesized in a "building block" approach to form crystalline porous materials, which have been explored for diverse applications including gas storage and separations. Given the enormous size of the MOF design space,...

Keyword:

Molecular modeling, Adsorption, Cheminformatics, Database, Data science, and Metal-organic framework

Subject:

Chemical engineering

Creator:

Bucior, Benjamin James

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_679201 and http://dissertations.umi.com/northwestern:14767