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Filtering by: Keyword Machine learning Keyword Metal-insulator transition Resource type Dissertation

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Data Science for Design of Functional Materials

Description:

Functional electronic materials are difficult to design due to the complex interplay among chemistry, atomic structure, and electrical properties. This dilemma is further amplified in transition metal compounds which can defy the band-theory description of non-correlated electrons. Exploring the vast possible design space completely with experiments or first-principles simulations is...

Keyword:

Transition metal oxides, Metal-insulator transition, Machine learning, and Data science

Subject:

Materials Science

Creator:

Wagner, Nicholas Adam

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14800 and etdadmin_upload_685025