Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science

E. Wes Bethel, Vianna Cramer, Alexander del Rio, Lothar Narins, Chris Pestano +8 more
9/10/2024
cs.AIcs.SE

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Abstract

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.

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Cite this paper

@article{bethel2024case,
  title  = {Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science},
  author = {E. Wes Bethel and Vianna Cramer and Alexander del Rio and Lothar Narins and Chris Pestano and Satvik Verma and Erick Arias and Nicola Bertelli and Talita Perciano and Syun'ichi Shiraiwa and Álvaro Sánchez Villar and Greg Wallace and John C. Wright},
  year   = {2024},
  eprint = {2409.06122},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2409.06122v1}
}

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