Harnessing Multi-Fidelity Design Analysis to ADV Fusion Reactor Design
Abstract
This project focuses on applying multi-fidelity design analysis leveraged by Bayesian methods of machine learning to fusion reactor optimization. It was found that this method expedites the exploration of the design space.
Keywords:
Plasma physics, fusion, physics, nuclear physics, machine learning
Status
Undergraduate
Department
Physics & Astronomy
College
Honors Tutorial College
Campus
Athens
Faculty Mentor
Phillips, Daniel
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Harnessing Multi-Fidelity Design Analysis to ADV Fusion Reactor Design
This project focuses on applying multi-fidelity design analysis leveraged by Bayesian methods of machine learning to fusion reactor optimization. It was found that this method expedites the exploration of the design space.