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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
Multidisciplinary and Dynamic Decisions in Simulation-Based Design

Description:

Modern design practices rely more and more on computer simulations due to their low cost compared with physical experiments. However, it is still an elusive task to fully unleash the advantages of the simulation models while mitigating their disadvantages for designing complex engineering systems. In simulation-based design, computer simulation models...

Keyword:

Design optimization, Bayesian optimization, Uncertainty quantification, Simulation-based design, Model calibration, and Multidisciplinary design

Subject:

Statistics, Design, and Mechanical engineering

Creator:

Tao, Siyu

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/01/2021

Date Created:

2020-01-01

Resource Type:

Dissertation

Alternate Identifier:

etdadmin_upload_773686 and http://dissertations.umi.com/northwestern:15350

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