122 citations · 488 across the 17 of their papers we have counts for
4 papers · 1 filter
Dynamics of supercooled liquids from static averaged quantities using machine learning
Simone Ciarella, Massimiliano Chiappini, Emanuele Boattini +2
We introduce a machine-learning approach to predict the complex non-Markovian dynamics of supercooled liquids from static averaged quantities. Compared to techniques based on parti…
Finding defects in glasses through machine learning
Simone Ciarella, Dmytro Khomenko, Ludovic Berthier +4
Structural defects control the kinetic, thermodynamic and mechanical properties of glasses. For instance, rare quantum tunneling two-level systems (TLS) govern the physics of glass…
Machine-learning-assisted Monte Carlo fails at sampling computationally hard problems
Simone Ciarella, Jeanne Trinquier, Martin Weigt +1
Several strategies have been recently proposed in order to improve Monte Carlo sampling efficiency using machine learning tools. Here, we challenge these methods by considering a c…
Microscopic observation of two-level systems in a metallic glass model
Felix C. Mocanu, Ludovic Berthier, Simone Ciarella +4
The low-temperature quasi-universal behavior of amorphous solids has been attributed to the existence of spatially-localized tunneling defects found in the low-energy regions of th…