3 citations · 9 across the 9 of their papers we have counts for
5 papers · 1 filter
Physics-based Digital Twins for Integrated Thermal Energy Systems Using Active Learning
Umme Mahbuba Nabila, Paul Seurin, Linyu Lin +1
Real-time supervisory control of thermal energy distribution systems requires digital twins that are accurate, interpretable, and uncertainty-aware, yet remain data and computation…
Techno-economic optimization of a heat-pipe microreactor, part II: multi-objective optimization analysis
Paul Seurin, Dean Price
Heat-pipe microreactors (HPMRs) are compact and transportable nuclear power systems exhibiting inherent safety, well-suited for deployment in remote regions where access is limited…
Techno-economic optimization of a heat-pipe microreactor, part I: theory and cost optimization
Paul Seurin, Dean Price, Luis Nunez
Microreactors, particularly heat-pipe microreactors (HPMRs), are compact, transportable, self-regulated power systems well-suited for access-challenged remote areas where costly fo…
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
Paul Seurin, Koroush Shirvan
A novel method, the Pareto Envelope Augmented with Reinforcement Learning (PEARL), has been developed to address the challenges posed by multi-objective problems, particularly in t…
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization
Paul Seurin, Koroush Shirvan
The nuclear fuel loading pattern optimization problem belongs to the class of large-scale combinatorial optimization. It is also characterized by multiple objectives and constraint…