3 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CE2021★ 3 cited
Machine learning-assisted surrogate construction for full-core fuel performance analysis
Yifeng Che, Joseph Yurko, Koroush Shirvan
Accurately predicting the behavior of a nuclear reactor requires multiphysics simulation of coupled neutronics, thermal-hydraulics and fuel thermo-mechanics. The fuel thermo-mechan…
cs.NE2020
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay
Majdi I. Radaideh, Koroush Shirvan
We propose PESA, a novel approach combining Particle Swarm Optimisation (PSO), Evolution Strategy (ES), and Simulated Annealing (SA) in a hybrid Algorithm, inspired from reinforcem…
physics.data-an2019
On the prediction of critical heat flux using a physics-informed machine learning-aided framework
Xingang Zhao, Koroush Shirvan, Robert K. Salko +1
The critical heat flux (CHF) corresponding to the departure from nucleate boiling (DNB) crisis is essential to the design and safety of a two-phase flow boiling system. Despite the…