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

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arxiv 2409.06122 v1 pith:PVHFMJEI submitted 2024-09-10 cs.AI cs.SE

E. Wes Bethel , Vianna Cramer , Alexander del Rio , Lothar Narins , Chris Pestano , Satvik Verma , Erick Arias , Nicola Bertelli
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Talita Perciano Syun'ichi Shiraiwa Álvaro Sánchez Villar Greg Wallace John C. Wright
This is my paper
classification cs.AIcs.SE
keywords genaicaseenergyfusionmodelsresultssurrogatesai-based
verification ladder T0 review T1 audit T2 compute T3 formal
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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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