Akshay J Dave

Nuclear engineering and artificial intelligence, leveraging experimental facilities.

Biography

I lead research at the convergence of nuclear engineering and artificial intelligence at Argonne National Laboratory. I focus on leveraging AI to optimize the design and operation of nuclear systems. My work encompasses creating protocols to automate regulatory activities, developing physics-informed neural networks, and designing advanced control schemes. Crucially, I validate these computational innovations on experimental facilities to ensure their performance and reliability in real-world scenarios. My goal is to bridge the gap between theoretical computational methods and practical, safety-critical energy solutions.

Education

Ph.D. & M.S., Nuclear Engineering, University of Michigan, Ann Arbor
B.S., Nuclear Engineering, University of Illinois Urbana-Champaign

Selected Publications

A. J. Dave, R. B. Vilim, “Physics-informed State-space Neural Networks for Transport Phenomena,” Engineering Applications of Artificial Intelligence 133 (2024). https://doi.org/10.1016/j.engappai.2024.108245
Y. Sun, S. Khairy, R. B. Vilim, R. Hu, A. J. Dave, “A safe reinforcement learning algorithm for supervisory control of power plants,” Knowledge-based Systems 301 (2024). https://doi.org/10.1016/j.knosys.2024.112312
A. J. Dave, T. N. Nguyen, R. B. Vilim, “Integrating LLMs for Explainable Fault Diagnosis in Complex Systems,” American Nuclear Society Annual Conference 2024. Preprint: https://doi.org/10.48550/arXiv.2402.06695
A. J. Dave, T. Lee, R. Ponciroli, R. B. Vilim, “Design of a Supervisory Control System for Autonomous Operation of Advanced Reactors,” Annals of Nuclear Energy 182 (2023). Preprint: https://doi.org/10.48550/arXiv.2209.04334