Paolo Vinai

Associate Professor

Chalmers University of Technology

Sweden

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Paolo Vinai is an Associate Professor at Chalmers University of Technology in Sweden. His research primarily focuses on the application of artificial neural networks for the detection of nuclear fuel diversions and neutron noise analysis. He has contributed to various studies on neutron flux gradient methods and the development of diffusion-based solvers for neutron noise simulations.

Articles (5)

Year:

2024

Year:

2023

Year:

2021

Year:

2021

Year:

2020

Collaborators (1)

Imre Pázsit

Professor

Chalmers University of Technology

SWEDEN

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Paolo Vinai

Research Interests

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Articles (5)

On the use of neutron flux gradient with ANNs for the detection of diverted spent nuclear fuel

Identification of diversions in spent PWR fuel assemblies by PDET signatures using Artificial Neural Networks (ANNs)

Analysis of the neutron noise induced by fuel assembly vibrations

CORE SIM+: A flexible diffusion-based solver for neutron noise simulations

Numerical solution of two-energy-group neutron noise diffusion problems with fine spatial meshes

Collaborators (1)

Imre Pázsit

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