- Bethel, E Wes;
- Cramer, Vianna;
- Rio, Alexander del;
- Narins, Lothar;
- Pestano, Chris;
- Verma, Satvik;
- Arias, Erick;
- Bertelli, Nicola;
- Perciano, Talita;
- Shiraiwa, Syun'ichi;
- Villar, Álvaro Sánchez;
- Wallace, Greg;
- Wright, John C
This work presents a detailed case study on using Generative AI (GenAI) to
develop AI surrogates for simulation models in fusion energy research. The
scope includes the methodology, implementation, and results of using GenAI to
assist in model development and optimization, comparing these results with
previous manually developed models.
