- Bethel, E Wes;
- Cramer, Vianna;
- del Rio, Alexander;
- 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.