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

التفاصيل البيبلوغرافية
العنوان: Case Study: Leveraging GenAI to Build AI-based Surrogates and Regressors for Modeling Radio Frequency Heating in Fusion Energy Science
المؤلفون: 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.
سنة النشر: 2024
المجموعة: Computer Science
مصطلحات موضوعية: Computer Science - Artificial Intelligence, Computer Science - Software Engineering
الوصف: 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.
نوع الوثيقة: Working Paper
URL الوصول: http://arxiv.org/abs/2409.06122
رقم الأكسشن: edsarx.2409.06122
قاعدة البيانات: arXiv