AI RESEARCH
Enhancing Nuclear Reactor Core Simulation through Data-Based Surrogate Models
arXiv CS.LG
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ArXi:2511.16148v3 Announce Type: replace In recent years, there has been an increasing need for Nuclear Power Plants (NPPs) to improve flexibility in order to match the rapid growth of renewable energies. The Operator Assistance Predictive System (OAPS) developed by Framatome addresses this problem through Model Predictive Control (MPC). In this work, we aim to improve MPC methods through data-driven simulation schemes. Thus, from a set of nonlinear stiff ordinary differential equations (ODEs), this paper.