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RESEARCH & INNOVATION
Research Areas
FUNDED PROJECTS
Reports and books
Education
Computational Science & Computational Learning (CSCL)
Statistical Learning (STAT)
DISSEMINATION
Mox Colloquia
MOX SEMINARS
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Staff details
Federico Gatti
PhD Student (M3E)
Contact Information
Phone:
+39 02 2399
Fax:
+39 02 2399
Email:
Keywords
Advanced Numerical Methods for Scientific Computing
Geosciences/Protection of Land and Water Resources
Publications
Available MOX Reports
FOIS, M.; GATTI, F.; DE FALCO, C.; FORMAGGIA, L.
A comparative analysis of mesh-based and particle-based numerical methods for landslide run-out simulations
GATTI, F.; DE FALCO, C.; FOIS, M.; FORMAGGIA, L.
A scalable well-balanced numerical scheme for a depth-integrated lava flow model
GATTI, F.; DE FALCO, C.; PEROTTO, S.; FORMAGGIA, L.; PASTOR, M.
A scalable well-balanced numerical scheme for the modelling of two-phase shallow granular landslide consolidation
GATTI, F.; DE FALCO, C.; PEROTTO, S.; FORMAGGIA, L.
A parallel well-balanced numerical scheme for the simulation of fast landslides with efficient time stepping
GATTI, F.; FOIS, M.; DE FALCO, C.; PEROTTO, S.; FORMAGGIA, L.
Parallel simulations for fast-moving landslides: space-time mesh adaptation and sharp tracking of the wetting front
BONAVENTURA, L.; GATTI F.; MENAFOGLIO A.; ROSSI D.; BRAMBILLA D.; PAPINI M.; LONGONI L.
An efficient and robust soil erosion model at the basin scale
GATTI, F.; MENAFOGLIO, A.; TOGNI, N.; BONAVENTURA, L.; BRAMBILLA, D.; PAPINI, M; LONGONI, L.
A novel dowscaling procedure for compositional data in the Aitchison geometry with application to soil texture data
PELLAGATTI, M.; MASCI, C.; IEVA, F.; PAGANONI A.M.
Generalized Mixed-Effects Random Forest: a flexible approach to predict university student dropout
FORMAGGIA, L.; GATTI, F.; ZONCA, S.
An XFEM/DG approach for fluid-structure interaction problems with contact
DE FALCO, CARLO; GATTI, EMILIO; LACAITA, ANDREA L.; SACCO, RICCARDO
Quantum-Corrected Drift-Diffusion Models for Transport in Semiconductor Devices