4 papers
Multiscale Mixed-Dimensional Simulation via Domain Decomposition and Non-Intrusive Neural Model Order Reduction
Nunzio Dimola, Piermario Vitullo, Paolo Zunino
Many computational models arising in science and engineering exhibit a multiscale structure that makes the assembly or direct solution of the global problem computationally prohibi…
Physics-Informed Learning of Microvascular Flow Models using Graph Neural Networks
Paolo Botta, Piermario Vitullo, Thomas Ventimiglia +2
The simulation of microcirculatory blood flow in realistic vascular architectures poses significant challenges due to the multiscale nature of the problem and the topological compl…
Mathematical modeling and sensitivity analysis of hypoxia-activated drugs
Alessandro Coclite, Riccardo Montanelli Eccher, Luca Possenti +2
Hypoxia-activated prodrugs offer a promising strategy for targeting oxygen-deficient regions in solid tumors, which are often resistant to conventional therapies. However, modeling…
Patient-specific prediction of glioblastoma growth via reduced order modeling and neural networks
D. Cerrone, D. Riccobelli, S. Gazzoni +7
Glioblastoma is among the most aggressive brain tumors in adults, characterized by patient-specific invasion patterns driven by the underlying brain microstructure. In this work, w…