@article{akins_furlong_kohler_clifford_brady_alsafadi_wu_2024, title={ARTISANS-Artificial Intelligence for Simulation of Advanced Nuclear Systems for Nuclear Fission Technology}, volume={423}, ISSN={["1872-759X"]}, url={https://doi.org/10.1016/j.nucengdes.2024.113170}, DOI={10.1016/j.nucengdes.2024.113170}, abstractNote={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.}, journal={NUCLEAR ENGINEERING AND DESIGN}, author={Akins, Alexandra and Furlong, Aidan and Kohler, Lauren and Clifford, Jason and Brady, Christopher and Alsafadi, Farah and Wu, Xu}, year={2024}, month={Jul} }