1.2k citations · 1.8k across the 52 of their papers we have counts for
59 papers
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…
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…
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…
Physics-Guided Spectral Parametric Reduced-Order Modeling for Transient Prediction of Controlled Dynamical Systems
Ao Zhang, Tian Zhang, Antonio Cammi +1
Efficient parametric transient prediction at unseen parameter values and under new operating conditions remains challenging because repeated high-fidelity simulations are computati…
Final assessment of radioactive impurities in the JUNO detector
Thomas Adam, Fengpeng An, Costas Andreopoulos +569
The Jiangmen Underground Neutrino Observatory (JUNO) collaboration has completed the construction of the 20,000-ton liquid scintillator detector and the associated muon veto detect…
A Low-energy Threshold and Multi-messenger Trigger System for the JUNO Experiment
Thomas Adam, Fengpeng An, Costas Andreopoulos +563
The Jiangmen Underground Neutrino Observatory (JUNO) is a 20-kiloton liquid scintillator neutrino detector, located 650 meters (1800 m.w.e.) underground in Jiangmen, Guangdong, Chi…
Ultra-trace analysis of 40K in organic liquid scintillators
A. Barresi, D. Chiesa, D. Merli +64
Rare-event searches require exceptionally low background levels, motivating the development of increasingly sophisticated screening methods to push sensitivity limits. Liquid scint…
Embedded underwater front-end electronics for the 3-inch photomultipliers in the JUNO experiment
Cédric Cerna, Miao He, Xiaoshan Jiang +591
The Jiangmen Underground Neutrino Observatory (JUNO) is a 20-kton liquid scintillator-based, low-radioactivity, multi-purpose neutrino detector located 693 meters (1800 m.w.e.) und…
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…
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…
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…
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…
Real-Time Wiener Deconvolution for feature reconstruction in JUNO
L. Lastrucci, M. Grassi, A. Triossi +74
In particle physics, experiments generate substantial amounts of data that can be difficult to process without preliminary scaling. To avoid losing potentially crucial data, experi…
Synchrotron-based Photonuclear Neutron Source for Energy, Medicine and Radiation Testing
Antonio Cammi, Lorenzo Loi, Andrea Missaglia +2
The global availability of high-intensity neutron sources is restricted by the prohibitive costs of spallation facilities and the decommissioning of aging research reactors, while…
Ultra-trace analysis of U and Th in organic liquid scintillators with high sensitivity
A. Barresi, D. Chiesa, D. Merli +63
Rare event searches demand extremely low background levels, necessitating ever-advancing screening techniques to enhance sensitivity. Liquid scintillators are highly attractive as…
First measurement of reactor neutrino oscillations at JUNO
Angel Abusleme, Thomas Adam, Kai Adamowicz +1131
Neutrino oscillations, a quantum effect manifesting at macroscopic scales, are governed by lepton flavor mixing angles and neutrino mass-squared differences that are fundamental pa…
Initial performance results of the JUNO detector
Angel Abusleme, Thomas Adam, Kai Adamowicz +1131
The Jiangmen Underground Neutrino Observatory (JUNO) started physics data taking on 26 August 2025. JUNO consists of a 20-kton liquid scintillator central detector, surrounded by a…
Prospects for geoneutrino detection with JUNO
Thomas Adam, Shakeel Ahmad, Rizwan Ahmed +625
Geoneutrinos, which are antineutrinos emitted during the decay of long-lived radioactive elements inside Earth, serve as a unique tool for studying the composition and heat budget…
Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor
Stefano Riva, Carolina Introini, Josè Nathan Kutz +1
Shallow Recurrent Decoder networks are a novel data-driven methodology able to provide accurate state estimation in engineering systems, such as nuclear reactors. This deep learnin…
Design, waterproofing, and mass production of the 3-inch PMT frontend system of JUNO
Jilei Xu, Miao He, Cédric Cerna +628
Over 25,600 3-inch photomultiplier tubes (PMTs) have been instrumented for the central detector of the Jiangmen Underground Neutrino Observatory. Each PMT is equipped with a high-v…
An Innovative Photon-Driven Subcritical Reactor Concept Powered by Synchrotron Radiation Source
Antonio Cammi, Lorenzo Loi, Andrea Missaglia +2
This paper introduces the conceptual design of a Photon Driven Reactor (PDR), an innovative subcritical reactor designed for energy generation driven by a synchrotron radiation. Th…
Simulation-based inference for Precision Neutrino Physics through Neural Monte Carlo tuning
A. Gavrikov, A. Serafini, D. Dolzhikov +63
Precise modeling of detector energy response is crucial for next-generation neutrino experiments which present computational challenges due to lack of analytical likelihoods. We pr…
Simulation of the Background from CO Reaction in the JUNO Scintillator
JUNO Collaboration, Thomas Adam, Kai Adamowicz +627
Large-scale organic liquid scintillator detectors are highly efficient in the detection of MeV-scale electron antineutrinos. These signal events can be detected through inverse bet…
A Comparison of Parametric Dynamic Mode Decomposition Algorithms for Thermal-Hydraulics Applications
Stefano Riva, Andrea Missaglia, Carolina Introini +2
In recent years, algorithms aiming at learning models from available data have become quite popular due to two factors: 1) the significant developments in Artificial Intelligence t…