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 […]
Yearly Archives: 2024
144 posts
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 […]
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 […]
Roberto Piersanti from the MOX Laboratory, Department of Mathematics, received the ERC in Italy Award from the Italian chapter of the European Society of Biomechanics (ESB) during the XIII ESB-ITA Annual Meeting held in Pescara, for his presentation on cardiac biomechanics.
On September 28, 2024, some young researchers of MOX Lab, Department of Mathematics, Politecnico di Milano, took part in #MEETmeTonight! They showcased a video game that lets kids, families, and people of all ages guide a virtual flock and discover how a mathematical model can represent complex systems. A fun […]
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 […]
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 […]