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Description:: Functional electronic materials have transformed modern society toward a highly digitized and interconnected global community. The ever-growing demand for electronic devices with superior functionality poses a great challenge to the state-of-the-art field-effect transistors owing to the limited charge density afforded by silicon. Materials scientists and chemists have been working closely...
Keyword:: Bayesian optimization, Gaussian processes, deep neural network, computational materials science, and metal-insulator transition
Subject:: Chemistry
Creator:: Wang, Yiqun
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 06/28/2021
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: etdadmin_upload_815597 and http://dissertations.umi.com/northwestern:15531

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