GIMC SIMAI Young 2026

Session

MS06.2 - Numerical Modeling for Sustainability Problems

4 Jun 2026, 11:15

Pisa

38. Space-Time Energetic Boundary Element Method for Mixed 3D Elastodynamic Problems

Luciano Coppolino (Università degli Studi di Messina)

04/06/2026, 11:15

MS06 - Numerical Modeling for Sustainability Problems

To further advance the regularisation and numerical treatment of the double-layer operator in three-dimensional elastodynamics within the space-time Energetic Boundary Element Method (EBEM) framework [1], this work extends the analysis to the singular behaviour of the adjoint double-layer and hypersingular operators arising in mixed boundary value problems. The mixed formulation is...

40. An Exponential Fitting BDF Scheme for Efficient Simulation of Oscillatory Quantum Devices

Roberto Sanfelice (Dipartimento di Matematica/DIPMAT, Università degli studi di Salerno)

04/06/2026, 11:30

MS06 - Numerical Modeling for Sustainability Problems

The accurate numerical modeling of superconducting quantum devices is essential
for advanced computing and sensing technologies. Their governing equations are
nonlinear and often yield highly oscillatory solutions [1, 2], making standard time
integration schemes inaccurate unless very small time steps are used.
We consider a Backward Differentiation Formula (BDF) predictor-corrector...

84. Augmented predictor-corrector PINN for estimating root zone soil moisture from data at shallower depths

Mariateresa Bruni (CNR IRSA, POLITECNICO DI BARI)

04/06/2026, 11:45

MS06 - Numerical Modeling for Sustainability Problems

The difficulty of installing soil moisture sensors in the deeper layers of the root zone represents a major limitation for both hydrological modeling and irrigation management. In this study, we propose a predictor–corrector Physics-Informed Neural Network (PINN) framework to estimate soil water content at 60 cm depth using solely measurements collected at 30 cm. The predictor–corrector...

100. Modeling Non-Stationarity through PDE Penalization: An Application to Mobility Data

Ilenia Di Battista (MOX – Department of Mathematics, Politecnico di Milano)

04/06/2026, 12:00

MS06 - Numerical Modeling for Sustainability Problems

Sustainable urban development requires quantitative tools able to describe complex spatio-temporal processes characterized by spatial heterogeneity and directional structure. Classical stationary models are often inadequate for heterogeneous metropolitan areas, where mobility patterns and population density evolve under infrastructure constraints and recurrent temporal cycles.
We propose a...

135. Homogenization-Driven Modeling of Plant Tissue Dynamics

Nicolò Mondini

04/06/2026, 12:15

MS06 - Numerical Modeling for Sustainability Problems

Hormonal activity, along with genetic regulation and vascular transport, plays a crucial role in regulating plant growth. In such mechanism, spatio-temporal signals are used to spread information across different portions of the plant. When multi-cellular tissues are involved in the transmission process, the evolution dynamics of such signals shows a multi-scale behavior. To model the...