Outputs (5)

Inverse Physics-Informed Neural Networks for transport models in porous materials (2024)
Journal Article
Berardi, M., Difonzo, F. V., & Icardi, M. (2025). Inverse Physics-Informed Neural Networks for transport models in porous materials. Computer Methods in Applied Mechanics and Engineering, 435, Article 117628. https://doi.org/10.1016/j.cma.2024.117628

Physics-Informed Neural Networks (PINN) are a machine learning tool that can be used to solve direct and inverse problems related to models described by Partial Differential Equations by including in the cost function to minimise during training the... Read More about Inverse Physics-Informed Neural Networks for transport models in porous materials.

HiPhom𝜺: HIgh order Projection-based HOMogenisation for advection diffusion reaction problems (2024)
Journal Article
Conni, G., Piccardo, S., Michele Porta, G., & Icardi, M. (in press). HiPhom𝜺: HIgh order Projection-based HOMogenisation for advection diffusion reaction problems. Multiscale Modeling and Simulation: A SIAM Interdisciplinary Journal,

We propose a new model reduction technique for multiscale scalar transport problems that exhibit dominant axial dynamics. To this aim, we rely on the separation of variables to combine a Hierarchical Model (HiMod) reduction with a two-scale asymptoti... Read More about HiPhom𝜺: HIgh order Projection-based HOMogenisation for advection diffusion reaction problems.

MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions (2024)
Journal Article
Mahdiyasa, A. W., Large, D. J., Icardi, M., & Muljadi, B. P. (2024). MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions. Earth Surface Dynamics, 12(4), 929-952. https://doi.org/10.5194/esurf-12-929-2024

Higher-dimensional models of peatland development are required to analyse the influence of spatial heterogeneity and complex feedback mechanisms on peatland behaviour. However, the current models exclude the mechanical process that leads to uncertain... Read More about MPeat2D - a fully coupled mechanical-ecohydrological model of peatland development in two dimensions.

Numerical investigation of bubble dynamics and flow boiling heat transfer in cylindrical micro-pin-fin heat exchangers (2024)
Journal Article
El Mellas, I., Samkhaniani, N., Falsetti, C., Stroh, A., Icardi, M., & Magnini, M. (2024). Numerical investigation of bubble dynamics and flow boiling heat transfer in cylindrical micro-pin-fin heat exchangers. International Journal of Heat and Mass Transfer, 228, Article 125620. https://doi.org/10.1016/j.ijheatmasstransfer.2024.125620

Micro-pin-fin evaporators are a promising alternative to multi-microchannel heat sinks for two-phase cooling of high power-density devices. Within pin-fin evaporators, the refrigerant flows through arrays of obstacles in cross-flow and is not restric... Read More about Numerical investigation of bubble dynamics and flow boiling heat transfer in cylindrical micro-pin-fin heat exchangers.

Splitting schemes for coupled differential equations: Block Schur-based approaches & Partial Jacobi approximation (2024)
Journal Article
Nuca, R., Storvik, E., Radu, F. A., & Icardi, M. (2024). Splitting schemes for coupled differential equations: Block Schur-based approaches & Partial Jacobi approximation. Computers and Mathematics with Applications, 161, 190-201. https://doi.org/10.1016/j.camwa.2024.02.042

Coupled multi-physics problems are encountered in countless applications and pose significant numerical challenges. In a broad sense, one can categorise the numerical solution strategies for coupled problems into two classes: monolithic approaches an... Read More about Splitting schemes for coupled differential equations: Block Schur-based approaches & Partial Jacobi approximation.