582 citations · 9k across the 142 of their papers we have counts for
144 papers
Quasi-localized modes in crystalline high entropy alloys
Silvia Bonfanti, Roberto Guerra, Rene Alvarez-Donado +3
High Entropy Alloys (HEAs) are designed by mixing multiple metallic species in nearly the same amount to obtain crystalline or amorphous materials with exceptional mechanical prope…
Predicting Creep Failure by Machine Learning -- Which Features Matter?
Stefan Hiemer, Paolo Moretti, Stefano Zapperi +1
Spatial and temporal features are studied with respect to their predictive value for failure time prediction in subcritical failure with machine learning (ML). Data are generated f…
Size effects in micro and nanoscale materials fracture
Alessandro Taloni, Michele Vodret, Giulio Costantini +1
Micro and nanoscale materials have remarkable mechanical properties, such as enhanced strength and toughness, but usually display sample-to-sample fluctuations and non-trivial size…
Predicting the failure of two-dimensional silica glasses
Francesc Font-Clos, Marco Zanchi, Stefan Hiemer +4
Being able to predict the failure of materials based on structural information is a fundamental issue with enormous practical and industrial relevance for the monitoring of devices…
Universal Density of Low Frequency States in Silica Glass at Finite Temperatures
Roberto Guerra, Silvia Bonfanti, Itamar Procaccia +1
The theoretical understanding of the low-frequency modes in amorphous solids at finite temperature is still incomplete. The study of the relevant modes is obscured by the dressing…
Extreme value theory and the St. Petersburg paradox in the failure statistics of wires
Alessandro Taloni, Stefano Zapperi
The fracture stress of materials typically depends on the sample size and is traditionally explained in terms of extreme value statistics. A recent work reported results on the car…