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Alessandro Lucantonio's blog

Research fellowship (pre/post-doc) in Machine Learning and Physical Simulation at Scuola Superiore Sant'Anna

I am looking for a research fellow (pre/post-doc) to join my group at Scuola Superiore Sant'Anna (Pisa, Italy) to work on the ERC project ALPS - AI-based Learning for Physical Simulation.

The goal of the research is to develop a new generation machine learning and simulation algorithms that are able to automatically build interpretable models of physical systems starting from experimental data. These algorithms will be applied in the contexts of biological systems, human health, fluid dynamics and engineering.

Course on the mechanics of smart and bio-hybrid gels

From August 29 to September 2, the course "MECHANICS OF SMART AND BIO-HYBRID GELS: EXPERIMENTS, THEORY, NUMERICAL SIMULATION" will be held at CISM, Italy. The course is offered in a hybrid format giving the possibility to attend the course also by remote (on Microsoft Teams platform).

PhD position in Machine Learning and Physical Simulation

At Scuola Superiore Sant'Anna of Pisa, Italy, there are 2 PhD scholarships funded by my ERC Starting Grant ALPS - AI-based Learning for Physical Simulation. In this project, which will start next September, we aim to build algorithms that can learn physical models starting from experimental data.

Hydraulic Fracture and Toughening of a Brittle Layer Bonded to a Hydrogel

AbstractBrittle materials propagate opening cracks under tension. When stress increases beyond a critical magnitude, then quasistatic crack propagation becomes unstable. In the presence of several precracks, a brittle material always propagates only the weakest crack, leading to catastrophic failure. Here, we show that all these features of brittle fracture are fundamentally modified when the material susceptible to cracking is bonded to a hydrogel, a common situation in biological tissues.

Non-linear multiphysics modeling of ionic gels

The paper presents a thermodynamically consistent modeling of the non-linear multiphysics of ionic polymer gels based on the multiplicative decomposition of the deformation gradient. In particular, the deformations induced by the motion of ions under an applied voltage are viewed as distortions, similarly to growth-induced deformations in soft tissues. Furthermore, a consistent linearization of the model in the regime of small deformations is discussed. Finally, a finite element implementation of the theory is introduced and validated against experimental results.

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