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Home » People who are involved » Members » Stefano Berrone

Stefano Berrone

Participating Member - Numerical Methods

Email: stefano.berrone@polito.it
Website: link

Recent Publications since 2017 (16)

Stefano Berrone, Davide Oberto (2022) An invariances-preserving vector basis neural network for the closure of Reynolds-averaged Navier-Stokes equations by the divergence of the Reynolds stress tensor, In: PHYSICS OF FLUIDS, ISSN: 1070-6631, Type: Journal paper
P. F. Antonietti, S. Berrone, A. Borio, A. D'auria, M. Verani, S. Weisser (2022) Anisotropic a posteriori error estimate for the virtual element method, In: IMA JOURNAL OF NUMERICAL ANALYSIS, pages 1273-1312, ISSN: 0272-4979, Type: Journal paper
S. Berrone, A. Borio, F. Marcon (2022) Comparison of standard and stabilization free Virtual Elements on anisotropic elliptic problems, In: APPLIED MATHEMATICS LETTERS, page 107971, ISSN: 0893-9659, Type: Journal paper
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino (2022) Graph-Informed Neural Networks for Regressions on Graph-Structured Data, In: MATHEMATICS, ISSN: 2227-7390, Type: Journal paper
S. Berrone, F. Vicini (2021) A Reduced Basis Method for a PDE-constrained optimization formulation in Discrete Fracture Network flow simulations, In: COMPUTERS & MATHEMATICS WITH APPLICATIONS, pages 182-194, ISSN: 0898-1221, Type: Journal paper
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino (2021) Layer-wise relevance propagation for backbone identification in discrete fracture networks, In: JOURNAL OF COMPUTATIONAL SCIENCE, page 101458, ISSN: 1877-7503, Type: Journal paper
S. Berrone, Francesco Della Santa, S. Pieraccini, F. Vaccarino (2021) Machine learning for flux regression in discrete fracture networks, In: GEM, ISSN: 1869-2672, Type: Journal paper
Stefano Berrone, Francesco Della Santa (2021) Performance Analysis of Multi-Task Deep Learning Models for Flux Regression in Discrete Fracture Networks, In: GEOSCIENCES, pages 1-24, ISSN: 2076-3263, Type: Journal paper
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino (2021) Predicting flux in Discrete Fracture Networks via Graph Informed Neural Networks, Type: Other
Stefano Berrone, Francesco Della Santa, Antonio Mastropietro, Sandra Pieraccini, Francesco Vaccarino (2020) Discrete Fracture Network insights by eXplainable AI, Type: Other
S. Berrone, J. D. Hyman, S. Pieraccini (2020) Multilevel Monte Carlo predictions of first passage times in three‐dimensional discrete fracture networks: a graph‐based approach, In: WATER RESOURCES RESEARCH, ISSN: 0043-1397, Type: Journal paper
S. Berrone, A. D’auria, F. Vicini (2019) Fast and robust flow simulations in discrete fracture networks with GPGPUs, In: GEM, ISSN: 1869-2672, Type: Journal paper
Stefano Berrone, Stefano Scialo', Fabio Vicini (2019) Parallel meshing, discretization and computation of flow in massive discrete fracture networks, In: SIAM JOURNAL ON SCIENTIFIC COMPUTING, pages 317-338, ISSN: 1064-8275, Type: Journal paper
Stefano Berrone, Matias Fernando Benedetto, Andrea Borio, Sandra Pieraccini, Stefano Scialo' (2019) The Virtual Element Method for the Transport of Passive Scalars in Discrete Fracture Networks, In: Numerical Mathematics and Advanced Applications ENUMATH 2017, pages 501-508, ISBN: 978-3-319-96414-0, Type: Conference
Stefano Berrone, Stefano Scialo', Fabio Vicini (2018) Parallel meshing, discretization and computation of flow in massive Discrete Fracure Networks, Type: Other
Stefano Berrone, Claudio Canuto, Sandra Pieraccini, Stefano Scialo' (2018) Uncertainty quantification in Discrete Fracture Network models: stochastic geometry, In: WATER RESOURCES RESEARCH, pages 1338-1352, ISSN: 1944-7973, Type: Journal paper

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