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20242026
most citedMulti-Physics Model Bias Correction with Data-Driven Reduced Order Modelling Techniques: Application to Nuclear Case Studies

29 citations · 40 across the 7 of their papers we have counts for

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physics.comp-ph2026

Real-Time Monitoring of MHD Liquid Metal Flows with Shallow Recurrent Decoders

Claudio Scardino, Stefano Riva, Carolina Introini +4

State estimation in magnetohydrodynamic flows is critical for real-time monitoring of liquid metal blankets in tokamak fusion reactors. Due to the multiphysics nature of these phen…

cs.LG2026

pyforce-1.0.0: Python Framework for data-driven model Order Reduction of multi-physiCs problEms

Stefano Riva, Yantao Luo, Carolina Introini +1

pyforce is a Python package implementing Data-Driven Reduced Order Modelling techniques for applications to multi-physics problems, mainly set in the Nuclear Engineering world. The…