Applications of Artificial Intelligence and Machine Learning in Nuclear Power

Early Stage Application of Machine Learning to Enhance Image Quality of Ultrasonic Transducers for Under Sodium Viewing

G. Kinzler (Univ. Pittsburgh), H. Ban (Univ. Pittsburgh)

Image Synthesis of Nuclear Data Using Deceptive Infusion of Data

Arvind Sundaram (Purdue), Tyler Lewis (Purdue), Hany S. Abdel-Khalik (Purdue)

Augmented Data Generation for Thermocouple Sensors Time Series with Generative Adversarial Network

Stella Pantopoulou (Purdue), Darius Lisowski (ANL), Anthonie Cilliers (Kairos Power), Lefteri Tsoukalas (Purdue), Alexander Heifetz (ANL)

A Data-Driven Feature Extraction Approach for Subtle Variation Detection

Yeni Li (Purdue), Hany S. Abdel-Khalik (Purdue)

Physics-Informed Neural Network Solution of Point Kinetics Equations for Development of Small Modular Reactor Digital Twin

Konstantinos Prantikos (Purdue), Lefteri H. Tsoukalas (Purdue), Alexander Heifetz (ANL)