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

29 citations · 40 across the 12 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…

physics.app-ph2026

Photonuclear Neutron Production in OpenMC: Verification Against MCNPX, FLUKA, and a First-Collision Analytical Solution

Lorenzo Loi, Andrea Missaglia, Carolina Introini +4

The modeling of photonuclear reactions is increasingly important for applications involving high-energy photon fields, including accelerator-driven neutron sources, radiation shiel…

physics.comp-ph2026

Multi-Fidelity Learning with Shallow Recurrent Decoders for Multi-Physics Applications

Stefano Riva, Carolina Introini, J. Nathan Kutz +1

In reactor physics, neutronics and multi-physics phenomena can be modelled at different fidelity levels. High-fidelity models based on the Boltzmann transport equation, multi-group…

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…

cs.LG2026

CTF4Nuclear: Common Task Framework for Nuclear Fission and Fusion Models

Stefano Riva, Carolina Introini, Antonio Cammi +13

The demand for clean energy is ever increasing, with new nuclear technologies presenting a complementary solution to renewable energies. However, designing and operating these syst…

cs.LG2026

Application of parametric Shallow Recurrent Decoder Network to magnetohydrodynamic flows in liquid metal blankets of fusion reactors

M. Lo Verso, C. Introini, E. Cervi +3

Magnetohydrodynamic (MHD) phenomena play a pivotal role in the design and operation of nuclear fusion systems, where electrically conducting fluids (such as liquid metals or molten…

cs.LG2026

Surrogate models for nuclear fusion with parametric Shallow Recurrent Decoder Networks: applications to magnetohydrodynamics

M. Lo Verso, C. Introini, E. Cervi +3

Magnetohydrodynamic (MHD) effects play a key role in the design and operation of nuclear fusion systems, where electrically conducting fluids (such as liquid metals or molten salts…