Northwestern University

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Data-driven Functional Materials Design and Discovery

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