Antonio Cammi

11 papers Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Surrogate models for nuclear fusion with parametric Shallow Recurrent Decoder Networks: applications to magnetohydrodynamics.
CoRR
M. Lo Verso, Carolina Introini, E. Cervi, L. Savoldi, J. Nathan Kutz, Antonio Cammi
2026 J jnl
pyforce: Python Framework for data-driven model Order Reduction of multi-physiCs problEms.
J. Open Source Softw.
Stefano Riva, Carolina Introini, Antonio Cammi
2025 J jnl
A Comparison of Parametric Dynamic Mode Decomposition Algorithms for Thermal-Hydraulics Applications.
CoRR
Stefano Riva, Andre Badawi Missaglia, Carolina Introini, In Cheol Bang, Antonio Cammi
2025 J jnl
Constrained Sensing and Reliable State Estimation with Shallow Recurrent Decoders on a TRIGA Mark II Reactor.
CoRR
Stefano Riva, Carolina Introini, J. Nathan Kutz, Antonio Cammi
2025 J jnl
From Models To Experiments: Shallow Recurrent Decoder Networks on the DYNASTY Experimental Facility.
CoRR
Carolina Introini, Stefano Riva, J. Nathan Kutz, Antonio Cammi
2025 J jnl
Towards Efficient Parametric State Estimation in Circulating Fuel Reactors with Shallow Recurrent Decoder Networks.
CoRR
Stefano Riva, Carolina Introini, J. Nathan Kutz, Antonio Cammi
2024 J jnl
Multi-Physics Model Bias Correction with Data-Driven Reduced Order Modelling Techniques: Application to Nuclear Case Studies.
CoRR
Stefano Riva, Carolina Introini, Antonio Cammi
2024 J jnl
Robust State Estimation from Partial Out-Core Measurements with Shallow Recurrent Decoder for Nuclear Reactors.
CoRR
Stefano Riva, Carolina Introini, Antonio Cammi, J. Nathan Kutz
2021 J jnl
Calculation of gamma-ray exposure buildup factor based on backpropagation neural network.
Expert Syst. Appl.
Runkai Chen, Antonio Cammi, Marcus Seidl, Rafael Macian-Juan, Xiang Wang
2018 J jnl
A Monte Carlo-based exploration framework for identifying components vulnerable to cyber threats in nuclear power plants.
Reliab. Eng. Syst. Saf.
Wei Wang, Antonio Cammi, Francesco Di Maio, Stefano Lorenzi, Enrico Zio
2004 J jnl
Dagger-sampling variance reduction in Monte Carlo reliability analysis.
Monte Carlo Methods Appl.
Enrico Zio, Antonio Cammi, Andrea Cioncolini