122 citations · 488 across the 17 of their papers we have counts for
6 papers · 1 filter
Unsupervised and probabilistic learning with Contrastive Local Learning Networks: The Restricted Kirchhoff Machine
Marcelo Guzman, Simone Ciarella, Andrea J. Liu
Autonomous physical learning systems modify their internal parameters and solve computational tasks without relying on external computation. Compared to traditional computers, they…
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…
Glassy dynamics of a binary Voronoi fluid: A mode-coupling analysis
Céline Ruscher, Simone Ciarella, Chengjie Luo +3
The binary Voronoi mixture is a fluid model whose interactions are local and many-body. Here we perform molecular-dynamics (MD) simulations of an equimolar mixture that is weakly p…