Inference of Gas-liquid Flowrate using Neural Networks. - Akshay J. Dave; Annalisa Manera (CoRR, 2020)

Deep Surrogate Models for Multi-dimensional Regression of Reactor Power. - Akshay J. Dave; Jarod Wilson; Kaichao Sun (CoRR, 2020)

Empirical Models for Multidimensional Regression of Fission Systems. - Akshay J. Dave; Jiankai Yu; Jarod Wilson; Bren Phillips; Kaichao Sun; Benoit Forget (CoRR, 2021)

Numerical Demonstration of Multiple Actuator Constraint Enforcement Algorithm for a Molten Salt Loop. - Akshay J. Dave; Haoyu Wang; Roberto Ponciroli; Richard B. Vilim (CoRR, 2022)

Design of a Supervisory Control System for Autonomous Operation of Advanced Reactors. - Akshay J. Dave; Taeseung Lee; Roberto Ponciroli; Richard B. Vilim (CoRR, 2022)

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems. - Akshay J. Dave; Tat Nghia Nguyen; Richard B. Vilim (CoRR, 2024)

Physics-informed State-space Neural Networks for transport phenomena. - Akshay J. Dave; Richard B. Vilim (Eng. Appl. Artif. Intell., 2024)

A safe reinforcement learning algorithm for supervisory control of power plants. - Yixuan Sun; Sami Khairy; Richard B. Vilim; Rui Hu; Akshay J. Dave (Knowl. Based Syst., 2024)