Northwestern University

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Materials Discovery from Statistical Modeling and Atomistic Simulations

Description:

Selecting the best material to deliver optimum performance in real-world applications is one of the most significant challenges in engineering. Hundreds of thousands of computationally-predicted, but experimentally unexplored materials exist today in the public inorganic material databases as candidates for consideration. This thesis discusses three projects in the domain of...

Keyword:

statistical modeling, materials design, uncertainty quantification, materials selection, computational materials, and materials informatics

Subject:

Materials Science

Creator:

Gopakumar, Abhijith Mini

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/16/2023

Date Created:

2022-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_947056 and http://dissertations.umi.com/northwestern:16368