142 citations · 431 across the 9 of their papers we have counts for
3 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…
Modeling of effective interactions between ligand coated nanoparticles through symmetry functions
Dinesh Chintha, Shivanand Kumar Veesam, Emanuele Boattini +2
Ligand coated nanoparticles are complex objects consisting of a metallic or semiconductor core with organic ligands grafted on their surface. These organic ligands provide stabilit…
Comparing machine learning techniques for predicting glassy dynamics
Rinske M. Alkemade, Emanuele Boattini, Laura Filion +1
In the quest to understand how structure and dynamics are connected in glasses, a number of machine learning based methods have been developed that predict dynamics in supercooled…