23 citations · 45 across the 7 of their papers we have counts for
10 papers
Overcoming the Regulatory Bottleneck via Agent-to-Agent Protocols: A Nuclear Case Study
Akshay J. Dave, David Grabaskas, Joseph A. Renevitz +1
Regulatory review of advanced nuclear reactor designs routinely spans more than three years and consumes hundreds of millions of dollars in combined regulator and applicant labor.…
AI-Driven Cybersecurity Testbed for Nuclear Infrastructure: Comprehensive Evaluation Using METL Operational Data
Benjamin Blakely, Yeni Li, Akshay Dave +2
Advanced nuclear reactor systems face increasing cybersecurity threats as sophisticated attackers exploit cyber-physical interfaces to manipulate control systems while evading trad…
Integrating LLMs for Explainable Fault Diagnosis in Complex Systems
Akshay J. Dave, Tat Nghia Nguyen, Richard B. Vilim
This paper introduces an integrated system designed to enhance the explainability of fault diagnostics in complex systems, such as nuclear power plants, where operator understandin…
A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants
Yixuan Sun, Sami Khairy, Richard B. Vilim +2
Traditional control theory-based methods require tailored engineering for each system and constant fine-tuning. In power plant control, one often needs to obtain a precise represen…
Physics-informed State-space Neural Networks for Transport Phenomena
Akshay J. Dave, Richard B. Vilim
This work introduces Physics-informed State-space neural network Models (PSMs), a novel solution to achieving real-time optimization, flexibility, and fault tolerance in autonomous…
Design of a Supervisory Control System for Autonomous Operation of Advanced Reactors
Akshay J. Dave, Taeseung Lee, Roberto Ponciroli +1
Advanced reactors to be deployed in the coming decades will face deregulated energy markets, and may adopt flexible operation to boost profitability. To aid in the transition from…
Numerical Demonstration of Multiple Actuator Constraint Enforcement Algorithm for a Molten Salt Loop
Akshay J. Dave, Haoyu Wang, Roberto Ponciroli +1
To advance the paradigm of autonomous operation for nuclear power plants, a data-driven machine learning approach to control is sought. Autonomous operation for next-generation rea…
Empirical Models for Multidimensional Regression of Fission Systems
Akshay J. Dave, Jiankai Yu, Jarod Wilson +3
The development of next-generation autonomous control of fission systems, such as nuclear power plants, will require leveraging advancements in machine learning. For fission system…
Deep Surrogate Models for Multi-dimensional Regression of Reactor Power
Akshay J. Dave, Jarod Wilson, Kaichao Sun
There is renewed interest in developing small modular reactors and micro-reactors. Innovation is necessary in both construction and operation methods of these reactors to be financ…
Inference of Gas-liquid Flowrate using Neural Networks
Akshay J. Dave, Annalisa Manera
The metering of gas-liquid flows is difficult due to the non-linear relationship between flow regimes and fluid properties, flow orientation, channel geometry, etc. In fact, a majo…