New MOX Report on “A geometry aware arbitrary order collocation Boundary Element Method solver for the potential flow past three dimensional lifting surfaces”

A new MOX Report entitled “A geometry aware arbitrary order collocation Boundary Element Method solver for the potential flow past three dimensional lifting surfaces” by Cattarossi, L.; Sacco, F.; Giuliani, N.; Parolini, N.; Mola, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/75-2024.pdf Abstract: This work […]

New MOX Report on “A mixed-dimensional model for the electrostatic problem on coupled domains”

A new MOX Report entitled “A mixed-dimensional model for the electrostatic problem on coupled domains” by Crippa, B., Scotti, A.; Villa, A has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/74-2024.pdf Abstract: We derive a mixed-dimensional 3D-1D formulation of the electrostatic equation in two domains with different […]

New MOX Report on “Using SAR Data as an Effective Surrogate for Optical Data in Nitrogen Variable Rate Applications: a Winter Wheat Case Study”

A new MOX Report entitled “Using SAR Data as an Effective Surrogate for Optical Data in Nitrogen Variable Rate Applications: a Winter Wheat Case Study” by Liverotti, L.; Ferro, N.; Soli, L.; Matteucci, M.; Perotto, S. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/73-2024.pdf Abstract: This […]

New MOX Report on “An interpretable and transferable model for shallow landslides detachment combining spatial Poisson point processes and generalized additive models”

A new MOX Report entitled “An interpretable and transferable model for shallow landslides detachment combining spatial Poisson point processes and generalized additive models” by Patanè, G.; Bortolotti, T.; Yordanov, V.; Biagi, L. G. A.; Brovelli, M. A.; Truong, A. Q; Vantini, S. has appeared in the MOX Report Collection. Check […]

New MOX Report on “Shape-informed surrogate models based on signed distance function domain encoding”

A new MOX Report entitled “Shape-informed surrogate models based on signed distance function domain encoding” by Zhang, L.; Pagani, S.; Zhang, J.; Regazzoni, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/71-2024.pdf Abstract: We propose a non-intrusive method to build surrogate models that approximate the solution […]

New MOX Report on “Sensitivity analysis with a 3D mixed-dimensional code for DC geoelectrical investigations of landfills: synthetic tests”

A new MOX Report entitled “Sensitivity analysis with a 3D mixed-dimensional code for DC geoelectrical investigations of landfills: synthetic tests” by Panzeri, L.; Fumagalli, A.; Longoni, L.; Papini, M.; Diego, A. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/70-2024.pdf Abstract: Electrical resistivity tomography is a suitable […]

New MOX Report on ” Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data”

A new MOX Report entitled ” Estimation of dynamic Origin–Destination matrices in a railway transportation network integrating ticket sales and passenger count data” by Galliani, G.; Secchi, P.; Ieva, F. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/69-2024.pdf Abstract: Accurately estimating Origin–Destination matrices is a pressing […]

New MOX Report on “Sign-Flip inference for spatial regression with differential regularization”

A new MOX Report entitled “Sign-Flip inference for spatial regression with differential regularization” by Cavazzutti, M.; Arnone, E.; Ferraccioli, F.; Galimberti, C.; Finos, L.; Sangalli, L.M. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/64-2024.pdf Abstract: We address the problem of performing inference on the linear and […]

New MOX Report on “Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy”

A new MOX Report entitled “Deep learning enhanced cost-aware multi-fidelity uncertainty quantification of a computational model for radiotherapy” by Vitullo, P.; Franco, N.R.; Zunino, P. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/63-2024.pdf Abstract: Forward uncertainty quantification (UQ) for partial differential equations is a many-query task […]