crossrefMachine Learning: Science and Technology2026-07-09
Data-driven surrogate modeling for thermal-hydraulic codes via hybrid deep neural networks and quantile learning
Hyojun Yi, Hyeonmin Kim, Seunghyoung Ryu
Abstract Nuclear energy is a clean, reliable power source, but realizing its potential requires strict safety measures in nuclear power plants. Thermal-hydraulic (TH) codes are used to simulate potential accident scenarios in probabilistic safety assessment (PSA). Their high comp…