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The Cartographer
Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science
September 10, 2024 Β· Declared Dead Β· + Add venue
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Authors
E. Wes Bethel, Vianna Cramer, Alexander del Rio, Lothar Narins, Chris Pestano, Satvik Verma, Erick Arias, Nicola Bertelli, Talita Perciano, Syun'ichi Shiraiwa, Γlvaro SΓ‘nchez Villar, Greg Wallace, John C. Wright
arXiv ID
2409.06122
Category
cs.AI: Artificial Intelligence
Cross-listed
cs.SE
Citations
0
Last Checked
5 months ago
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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