3 papers
cs.LG2025
LLMize: A Framework for Large Language Model-Based Numerical Optimization
M. Rizki Oktavian
Large language models (LLMs) have recently shown strong reasoning capabilities beyond traditional language tasks, motivating their use for numerical optimization. This paper presen…
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…