TAMELLINI, LORENZO

TAMELLINI, LORENZO  

Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -  

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Titolo Data di pubblicazione Autore(i) File
Democratizing uncertainty quantification 1-gen-2025 Seelinger, L.; Reinarz, A.; Lykkegaard, M. B.; Akers, R.; Alghamdi, A. M. A.; Aristoff, D.; Bangerth, W.; Bénézech, J.; Diez, M.; Frey, K.; Jakeman, J. D.; Jørgensen, J. S.; Kim, K. T.; Kent, B. M.; Martinelli, M.; Parno, M.; Pellegrini, R.; Petra, N.; Riis, N. A. B.; Rosenfeld, K.; Serani, A.; Tamellini, L.; Villa, U.; Dodwell, T. J.; Scheichl, R.
An Efficient Slope Stability Algorithm with Physically Consistent Parametrisation of Slip Surfaces 1-gen-2024 Lalicata, L. M.; Bressan, A.; Pittaluga, S.; Tamellini, L.; Gallipoli, D.
Two Nitsche-based mixed finite element discretizations for the seepage problem in Richards’ equation 1-gen-2024 Gatti, F.; Bressan, A.; Fumagalli, A.; Gallipoli, D.; Lalicata, L. M.; Pittaluga, S.; Tamellini, L.
Combining noisy well data and expert knowledge in a Bayesian calibration of a flow model under uncertainties: an application to solute transport in the Ticino basin 1-gen-2023 Baker, Ea; Smanenti, ; Reali, A; Sangalli, G; Tamellini, L; Todeschini, S
Comparing multi-index stochastic collocation and multi-fidelity stochastic radial basis functions for forward uncertainty quantification of ship resistance 1-gen-2023 Piazzola, C; Tamellini, L; Pellegrini, R; Broglia, R; Serani, A; Diez, M
Sparse-grids uncertainty quantification of part-scale additive manufacturing processes 1-gen-2023 Chiappetta, M; Piazzola, C; Carraturo, M; Tamellini, L; Reali, A; Auricchio, F
Uncertainty quantification in timber-like beams using sparse grids: Theory and examples with off-the-shelf software utilization 1-gen-2023 Balduzzi, G; Bonizzoni, F; Tamellini, L
Adaptive experimental design for multi-fidelity surrogate modeling of multi-disciplinary systems 1-gen-2022 Jakeman, Jd; Friedman, S; Eldred, Ms; Tamellini, L; Gorodetsky, Aa; Allaire, D
Combining the Morris method and multiple error metrics to assess aquifer characteristics and recharge in the lower Ticino Basin, in Italy 1-gen-2022 Baker, Ea; Cappato, A; Todeschini, A; Tamellini, L; Sangalli, G; Reali, A; Manenti, S
On the convergence of adaptive stochastic collocation for elliptic partial differential equations with affine diffusion 1-gen-2022 Eigel, M; Ernst, Og; Sprungk, B; Tamellini, L
A note on tools for prediction under uncertainty and identifiability of SIR-like dynamical systems for epidemiology 1-gen-2021 Piazzola, C; Tamellini, L; Tempone, R
Comparing multi-index stochastic collocation and radial basis function surrogates for ship resistance uncertainty quantification 1-gen-2021 Piazzola, C; Tamellini, L; Pellegrini, R; Broglia, R; Serani, A; Diez, M
On expansions and nodes for sparse grid collocation of lognormal elliptic PDEs 1-gen-2021 Ernst, Og; Sprungk, B; Tamellini, L
The Multi-index Stochastic Collocation method for uncertainty quantification of PDEs with random parameters 1-gen-2021 Beck, J; Tamellini, L; Tempone, R
Compressive isogeometric analysis 1-gen-2020 Brugiapaglia, S; Tamellini, L; Tani, M
Computational approaches for uncertainty quantification of naval engineering problems 1-gen-2020 Broglia, R; Diez, M; Tamellini, L
Parametric shape optimization for combined additive-subtractive manufacturing 1-gen-2020 Tamellini, L; Mchiumenti, ; Altenhofen, C; Attene, M; Barrowclough, O; Livesu, M; Marini, F; Martinelli, M; Skytt V, V
Uncertainty quantification of ship resistance via multi-index stochastic collocation and radial basis function surrogates: A comparison 1-gen-2020 Piazzola, C; Tamellini, L; Pellegrini, R; Broglia, R; Serani, A; Diez, M
IGA-based multi-index stochastic collocation for random PDEs on arbitrary domains 1-gen-2019 Beck, J; Tamellini, L; Tempone, R
A sparse-grid isogeometric solver 1-gen-2018 Beck, J; Sangalli, G; Tamellini, L