PhD in Structural, Seismic and Geotechnical Engineering Research group: Mechanics of materials and structures (2)

Department

Civil and Environmental Engineering

Main research activities/topics/projects

Deep learning strategies to learn the micromechanics of fracture. The development of data-driven strategies based upon machine and deep learning had an unprecedented impact on the way complex problems are approached, even in solid and fracture mechanics. Moving from recent results on hybrid strategies to merge computational homogenization and image recognition, deep learning architectures like transformers are going to be adopted to learn the link between materials microstructure and fracture mechanics, within ad adaptive environment that can also take advantage of results achieved with physics-informed neural networks (PINNs).

Working language

Both Italian and English

Special entry requirements

Basic knowledge of solid and computational mechanics, and of machine and deep learning.

Duration in months (min-max)

PhD sanswhich: 6-12

PostDoc: 6-12