Discovery of novel low dimensional and photocathode materials using materials data and simulations

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Abstract/Contents

Abstract
Utilizing computational methods for uncovering new materials with desirable properties is a powerful tool for materials discovery. The grand goal of these approaches is to efficiently search through all of material space in order to find the best candidates for any application. Compared to traditional "trial-and-error" based materials discovery approaches, computational materials discovery allows for: i) a diverse range of materials can be explored, beyond the already successful spaces, ii) easier optimization over multiple performance metrics, and iii) statistically motivated insights into the materials space can be derived. However, discovering materials in this manner is a very difficult optimization problem that can involve assessing hundreds of thousands of candidate materials according to multiple selection criteria. Understanding how to best utilize these materials datasets is therefore an open problem that requires the development of screening methodologies. In this dissertation, I explore the use of data-driven materials discovery methods for discovering new assembly-free van der Waals heterostructures and high brightness photocathode materials. Additionally, I will discuss the development new machine-learning methodologies to improve the efficiency and success of computational-based material discovery efforts.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2021; ©2021
Publication date 2021; 2021
Issuance monographic
Language English

Creators/Contributors

Author Antoniuk, Evan Ronald William
Degree supervisor Reed, Evan J
Thesis advisor Reed, Evan J
Thesis advisor Devereaux, Thomas Peter, 1964-
Thesis advisor Martinez, Todd J. (Todd Joseph), 1968-
Degree committee member Devereaux, Thomas Peter, 1964-
Degree committee member Martinez, Todd J. (Todd Joseph), 1968-
Associated with Stanford University, Department of Chemistry

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Evan Ronald William Antoniuk.
Note Submitted to the Department of Chemistry.
Thesis Thesis Ph.D. Stanford University 2021.
Location https://purl.stanford.edu/ws092br2248

Access conditions

Copyright
© 2021 by Evan Ronald William Antoniuk
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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