TAMELLINI, LORENZO
TAMELLINI, LORENZO
Istituto di Matematica Applicata e Tecnologie Informatiche - IMATI -
Evaluating Objective Functions for SWMM Calibration in Urban Catchments
2026 Assaf, Mohammed N.; Manenti, Sauro; Tamellini, Lorenzo; Todeschini, Sara
Large-Scale Slope Equilibrium Analysis Within a GIS Framework
2026 Pittaluga, S.; Lalicata, L. M.; Bressan, A.; Tamellini, L.; Gallipoli, D.
Noise-robust multi-fidelity surrogate modelling for parametric partial differential equations
2026 Kent, B. M.; Tamellini, L.; Giacomini, M.; Huerta, A.
Towards uncertainty quantification of a model for cancer-on-chip experiments
2026 Bertoluzza, Silvia; Bianchi, Vittoria; Bretti, Gabriella; Tamellini, Lorenzo; Zanotti, Pietro
Characterizing Aquifer Properties Through a Sparse‐Grids‐Based Bayesian Framework and InSAR Measurements: A Basin‐Scale Application to Alto Guadalentín, Spain
2025 Li, Yueting; Zoccarato, Claudia; Piazzola, Chiara; Tamellini, Lorenzo; Bru, Guadalupe; Guardiola‐albert, Carolina; Teatini, Pietro
Democratizing uncertainty quantification
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.
Optimizing hydrological modelling on real urban catchment: impact of calibration data selection and objective function
2025 Assaf, Mohammed N.; Salis, Nicolò; Manenti, Sauro; Tamellini, Lorenzo; Creaco, Enrico; Todeschini, Sara
Surrogate models by means of functional kriging to estimate uncertainty in reservoir and geomechanical simulations
2025 Chiantella, Gaia; Dovera, Laura; Corradi, Anna; Tamellini, Lorenzo; Zanotti, Pietro
Algorithm 1040: The Sparse Grids Matlab Kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification
2024 Piazzola, Chiara; Tamellini, Lorenzo
An Efficient Slope Stability Algorithm with Physically Consistent Parametrisation of Slip Surfaces
2024 Lalicata, L. M.; Bressan, A.; Pittaluga, S.; Tamellini, L.; Gallipoli, D.
Data‐informed uncertainty quantification for laser‐based powder bed fusion additive manufacturing
2024 Chiappetta, Mihaela; Piazzola, Chiara; Tamellini, Lorenzo; Reali, Alessandro; Auricchio, Ferdinando; Carraturo, Massimo
New optimization strategies for SWMM modeling of stormwater quality applications in urban area
2024 Assaf, Mohammed N.; Manenti, Sauro; Creaco, Enrico; Giudicianni, Carlo; Tamellini, Lorenzo; Todeschini, Sara
Two Nitsche-based mixed finite element discretizations for the seepage problem in Richards’ equation
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
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
2023 Piazzola, C; Tamellini, L; Pellegrini, R; Broglia, R; Serani, A; Diez, M
Sparse-grids uncertainty quantification of part-scale additive manufacturing processes
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
2023 Balduzzi, G; Bonizzoni, F; Tamellini, L
Adaptive experimental design for multi-fidelity surrogate modeling of multi-disciplinary systems
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
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
2022 Eigel, M; Ernst, Og; Sprungk, B; Tamellini, L
| Titolo | Data di pubblicazione | Autore(i) | File |
|---|---|---|---|
| Evaluating Objective Functions for SWMM Calibration in Urban Catchments | 1-gen-2026 | Assaf, Mohammed N.; Manenti, Sauro; Tamellini, Lorenzo; Todeschini, Sara | |
| Large-Scale Slope Equilibrium Analysis Within a GIS Framework | 1-gen-2026 | Pittaluga, S.; Lalicata, L. M.; Bressan, A.; Tamellini, L.; Gallipoli, D. | |
| Noise-robust multi-fidelity surrogate modelling for parametric partial differential equations | 1-gen-2026 | Kent, B. M.; Tamellini, L.; Giacomini, M.; Huerta, A. | |
| Towards uncertainty quantification of a model for cancer-on-chip experiments | 1-gen-2026 | Bertoluzza, Silvia; Bianchi, Vittoria; Bretti, Gabriella; Tamellini, Lorenzo; Zanotti, Pietro | |
| Characterizing Aquifer Properties Through a Sparse‐Grids‐Based Bayesian Framework and InSAR Measurements: A Basin‐Scale Application to Alto Guadalentín, Spain | 1-gen-2025 | Li, Yueting; Zoccarato, Claudia; Piazzola, Chiara; Tamellini, Lorenzo; Bru, Guadalupe; Guardiola‐albert, Carolina; Teatini, Pietro | |
| 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. | |
| Optimizing hydrological modelling on real urban catchment: impact of calibration data selection and objective function | 1-gen-2025 | Assaf, Mohammed N.; Salis, Nicolò; Manenti, Sauro; Tamellini, Lorenzo; Creaco, Enrico; Todeschini, Sara | |
| Surrogate models by means of functional kriging to estimate uncertainty in reservoir and geomechanical simulations | 1-gen-2025 | Chiantella, Gaia; Dovera, Laura; Corradi, Anna; Tamellini, Lorenzo; Zanotti, Pietro | |
| Algorithm 1040: The Sparse Grids Matlab Kit - a Matlab implementation of sparse grids for high-dimensional function approximation and uncertainty quantification | 1-gen-2024 | Piazzola, Chiara; Tamellini, Lorenzo | |
| 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. | |
| Data‐informed uncertainty quantification for laser‐based powder bed fusion additive manufacturing | 1-gen-2024 | Chiappetta, Mihaela; Piazzola, Chiara; Tamellini, Lorenzo; Reali, Alessandro; Auricchio, Ferdinando; Carraturo, Massimo | |
| New optimization strategies for SWMM modeling of stormwater quality applications in urban area | 1-gen-2024 | Assaf, Mohammed N.; Manenti, Sauro; Creaco, Enrico; Giudicianni, Carlo; Tamellini, Lorenzo; Todeschini, Sara | |
| 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 |