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cs.LG2026
A Methodology for Thermal Limit Bias Predictability Through Artificial Intelligence
Anirudh Tunga, Michael J. Mueterthies, Jonathan Nistor
Nuclear power plant operators face significant challenges due to unpredictable deviations between offline and online thermal limits, a phenomenon known as thermal limit bias, which…
cs.LG2025
Optimization through In-Context Learning and Iterative LLM Prompting for Nuclear Engineering Design Problems
M. Rizki Oktavian, Anirudh Tunga, Amandeep Bakshi +3
The optimization of nuclear engineering designs, such as nuclear fuel assembly configurations, involves managing competing objectives like reactivity control and power distribution…
cs.LG2024
Predicting BWR Criticality with Data-Driven Machine Learning Model
Muhammad Rizki Oktavian, Anirudh Tunga, Jonathan Nistor +3
One of the challenges in operating nuclear power plants is to decide the amount of fuel needed in a cycle. Large-scale nuclear power plants are designed to operate at base load, me…