Developing machine learning interatomic potentials to probe the plasma-materials interactions of tungsten-based high-entropy alloys as plasma-facing components

Submission published under a 24 month embargo labeled 'Closed Access', the embargo will last until 2025-05-01

Name thesis:degree_name

M.S.

Level thesis:degree_level

Thesis

Discipline thesis:degree_discipline

Nuclear, Plasma, Radiolgc Engr

Grantor

University of Illinois at Urbana-Champaign

Year dc:date

2023

Author dc:creator

• Abdelghany, Muhammad A.

Contributors dc:contributor

• Allain, Jean Paul
• Stubbins, James

• Plasma-materials Interactions
• Interatomic Potentials
• Tungsten
• High-entropy Alloys
• Plasma-facing Components
• Nuclear Fusion Materials
• Atomistic Simulation
• Molecular Dynamics
• Density Functional Theory
• Ab Initio Molecular Dynamics
• Surface Science
• Machine Learning
• Condensed Matter Physics

Statement dc:rights

• Copyright 2023 Muhammad Abdelghany

Language dc:language

en, eng

Handle dc:identifier

https://hdl.handle.net/2142/120583

OAI identifier oai:identifier

oai:www.ideals.illinois.edu:2142/120583