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Data Centric Design for Microstructural Materials Systems

Description:

Materials science has been central to human advancement since time immemorial. There has always been curiosity around studying the processes required to extract materials, examine their structure, and ultimately tailor their properties to meet human needs. Over the last few centuries, the ability to tailor material properties was driven by...

Keyword:

Gaussian Process, Mixed Variable Machine Learning, Data Centric Design, Multicriteria Optimization, and Microstructure

Subject:

Materials Science, Statistics, and Design

Creator:

Iyer, Akshay

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/02/2022

Date Created:

2021-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_851800 and http://dissertations.umi.com/northwestern:15801