1 citations · 1 across the 1 of their papers we have counts for
2 papers
cond-mat.mtrl-sci2026★ 1 cited
Learning inelastic constitutive models from stress-strain data under hard thermodynamic constraints
Filippo Masi
Machine learning approaches informed by physics have offered new insights into the discovery of constitutive models from data, helping overcome some limitations of traditional cons…
physics.geo-ph2025
Hydrodynamics of fault gouges from constitutive modelling to the physics of friction
Filippo Masi, Itai Einav
The development of rate- and state-dependent friction laws offered important insights into the key physical mechanisms of the frictional behaviour of fault gouges and their seismic…