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mathematics for sustainable development

scientific coordinator: Luca Formaggia

 

The main goals for this topic are the development of mathematical models and numerical methods with applications to biomedicine (e.g., precision medicine, mathematical oncology, neurosciences) and for the sustainable use of the subsoil and mitigation of the effects of human activities (e.g., CO2 sequestration, geothermal reservoirs), as well as the implementation and analysis of scientific machine learning algorithms.

 

 

Publications

2025

  • Fois M., Gatti F., de Falco C., Formaggia L.,2025, A comparative analysis of mesh-based and particle-based numerical methods for landslide run-out simulations, Computers & Fluids, 295, 106641, https://doi.org/10.1016/j.compfluid.2025.106641
  • Leone, F., Marazzina, D., Rosamilia, N., What's news with you: Price forecasting with global and ESG sentiment scores, 2025 Finance Research Open, 1(2): 100013.1-13 , https://doi.org/10.1016/j.finr.2025.100013
  • Tonini, A., Regazzoni, F., Salvador, M., Dede', L., Scrofani, R., Fusini, L., Cogliati, C., Pontone, G., Vergara, C.,Quarteroni, A, 2025, Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system, Int. Journal for Numerical Methods in Engineering, 126 (1): e7648, http://dx.doi.org/10.1002/nme.7648  - T20
  • Quarteroni, A., Gervasio, P., Regazzoni, F., 2025, Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning, Mathematical Models and Methods in Applied Sciences, 35 (4): 905-1071, https://doi.org/10.1142/S0218202525500125
  • Azzone, M., Baviera, B., Manzoni, P, , 2025. The puzzle of Carbon Allowance spread, Energy Economics, 146,108459, https://doi.org/10.1016/j.eneco.2025.108459
  • Caldera, L., Masci, C., Cappozzo, A., Forlani, M., Antonelli, B., Leoni, O., Ieva, F., 2025, Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach, Biometrics, 81 (2), https://doi.org/10.1093/biomtc/ujaf046.
  • Donelli, Pietro, A. Hernández-Roig, Harold, Aguilera-Morillo M., Carmen, Arnone, Eleonora, Clementi Letizia, Rosa, E. Lillo, Palummo, Alessandro, Sangalli, Laura M., Regularized Functional Partial Least Squares Regression of Neuroimaging Data, 2025, Methodological and Applied Statistics and Demography, Springer, p 611-616, ISBN: 978-3-031-64446-7, https://doi.org/10.1007/978-3-031-64431-3_102
  • Clemente, A., Arnone, E., Sangalli, L.M., 2025. A Multi-Domain Model with Partial Differential Regularization: An Application to Neuroimaging Data, Methodological and Applied Statistics and Demography, Springer, https://doi.org/10.1007/978-3-031-64431-3_70
  • Marco Francesco De Sanctis, Ilenia Di Battista, Eleonora Arnone, Cristian Castiglione, Mauro Bernardi, Alessandro Palummo, Laura Maria Sangalli, Penalised Spatial Quantile Regression: Application to Air Quality Data, 2025, Methodological and Applied Statistics and Demography, Springer, 532-537, https://doi.org/10.1007/978-3-031-64431-3_88
  • Piersanti, R.; Bradley, R.; Ali, S.Y.; Quarteroni, A.; Dede', L.; Trayanova, N.A., Defining myocardial fiber bundle architecture in atrial digital twins, 2025, Computers in Biology and Medicine, https://doi.org/10.1016/j.compbiomed.2025.109774
  • Ziarelli, G., Pagani, S., Parolini, N., Regazzoni, F., Verani, M., A model learning framework for inferring the dynamics of transmission rate depending on exogenous variables for epidemic forecasts, 2025, Computer Methods in Applied Mechanics and Engineering, 437: 117796, https://doi.org/10.1016/j.cma.2025.117796
  • Regazzoni, F., Stabilization of staggered time discretization schemes for 0D-3D fluid-structure interaction problems, 2025, Numerische Mathematik, 157: 249–306, https://doi.org/10.1007/s00211-025-01452-z
  • Gatti F, de Falco C., Fois M, Formaggia L, 2025, A scalable well-balanced Taylor-Galerkin scheme for a lava flow depth-integrated model with point source vents, Computers & Mathematics with Applications, 184, 153-167, https://doi.org/10.1016/j.camwa.2025.02.014
  • Fois M., Gatti F., de Falco C., Formaggia L.,2025, A comparative analysis of mesh-based and particle-based numerical methods for landslide run-out simulations, Computers & Fluids, 295, 106641, https://doi.org/10.1016/j.compfluid.2025.106641 
  • Barucci, E., Marazzina, D., Nassigh, A., 2025, Sovereign Debt Default and Climate Risk, Preprint, arxiv - https://arxiv.org/abs/2501.11552 
  • Leone, F., Marazzina, D., Rosamilia, N., What’s news with you: Price forecasting with global and ESG sentiment scores, 2025 Finance Research Open, 1(2): 100013.1-13 , https://doi.org/10.1016/j.finr.2025.100013 
  • Tonini, A., Regazzoni, F., Salvador, M., Dede', L., Scrofani, R., Fusini, L., Cogliati, C., Pontone, G., Vergara, C.,Quarteroni, A, "Two new calibration techniques of lumped-parameter mathematical models for the cardiovascular system", Int. Journal for Numerical Methods in Engineering 126, e7648, 2025;
  • Quarteroni, A., Gervasio, P., Regazzoni, F., "Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning", Mathematical Models and Methods in Applied Sciences 35, 905-1071, 2025; 
  • Azzone, M., Baviera, B., Manzoni, P., "The puzzle of Carbon Allowance spread", Energy Economics 146, 108459, 2025;
  • Caldera, L., Masci, C., Cappozzo, A., Forlani, M., Antonelli, B., Leoni, O., Ieva, F., "Uncovering mortality patterns and hospital effects in COVID-19 heart failure patients: a novel multilevel logistic cluster-weighted modeling approach", Biometrics 81, 2025;