Akshay J. Dave

According to our database, Akshay J. Dave authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Integrating LLMs for Explainable Fault Diagnosis in Complex Systems.

Akshay J. Dave, Tat Nghia Nguyen, Richard B. Vilim

CoRR, 2024

A Safe Reinforcement Learning Algorithm for Supervisory Control of Power Plants.

Yixuan Sun, Sami Khairy, Richard B. Vilim, Rui Hu, Akshay J. Dave

CoRR, 2024

2023

Physics-informed State-space Neural Networks for Transport Phenomena.

Akshay J. Dave, Richard B. Vilim

CoRR, 2023

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

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

2021

Empirical Models for Multidimensional Regression of Fission Systems.

Akshay J. Dave, Jiankai Yu, Jarod Wilson, Bren Phillips, Kaichao Sun, Benoit Forget

CoRR, 2021

2020

Deep Surrogate Models for Multi-dimensional Regression of Reactor Power.

Akshay J. Dave, Jarod Wilson, Kaichao Sun

CoRR, 2020

Inference of Gas-liquid Flowrate using Neural Networks.

Akshay J. Dave, Annalisa Manera

CoRR, 2020