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ARTISANS—Artificial Intelligence for Simulation of Advanced Nuclear Systems for Nuclear Fission Technology
Nuclear Engineering and Design ( IF 1.7 ) Pub Date : 2024-04-01 , DOI: 10.1016/j.nucengdes.2024.113170
Alexandra Akins , Aidan Furlong , Lauren Kohler , Jason Clifford , Christopher Brady , Farah Alsafadi , Xu Wu

The objective of this Technical Opinion Paper (TOP) is to provide an overview of the research topics in the ARTISANS (Artificial Intelligence for Simulation of Advanced Nuclear Systems) research group at the North Carolina State University. We will discuss the connections between our research with the key items outlined in the Virtual Special Issues (VSI) Nuclear Fission Technology (NFT) series. NFT is crucial for the global goal of decarbonization, but as outlined by the VSI framework, significant challenges remain that inhibit NFT profitability. Our research addresses some of these challenges, centered around improving the simulation of complex nuclear systems with Artificial Intelligence and Machine Learning (AI/ML). The ARTISANS group specializes in many aspects of applications of AI/ML to nuclear engineering, whose potential impact on NFT continues to grow as AI/ML technologies improve.

中文翻译:

ARTISANS——用于核裂变技术的先进核系统仿真的人工智能

本技术意见论文 (TOP) 的目的是概述北卡罗来纳州立大学 ARTSANS(先进核系统模拟人工智能)研究小组的研究主题。我们将讨论我们的研究与虚拟特刊 (VSI) 核裂变技术 (NFT) 系列中概述的关键项目之间的联系。 NFT 对于全球脱碳目标至关重要,但正如 VSI 框架所述,抑制 NFT 盈利能力的重大挑战仍然存在。我们的研究解决了其中一些挑战,重点是利用人工智能和机器学习 (AI/ML) 改进复杂核系统的模拟。 ARTISANS 小组专注于 AI/ML 在核工程应用的许多方面,随着 AI/ML 技术的改进,其对 NFT 的潜在影响不断增长。
更新日期:2024-04-01
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