Large language model agent for nuclear reactor operation assistance
This study proposes an artificial intelligence (AI) driven approach to nuclear reactor operation, focusing on a novel large language model (LLM) agent system designed to assist operators with various tasks within a nuclear reactor simulator. Previous studies have demonstrated the potential of deep l...
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| Main Authors: | Yoon Pyo Lee, Joowon Cha, Yonggyun Yu, Seung Geun Kim |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | Nuclear Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1738573325004103 |
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