38 citations · 58 across the 3 of their papers we have counts for
3 papers
Roadmap on machine learning glassy dynamics
Gerhard Jung, Rinske M. Alkemade, Victor Bapst +10
Unraveling the connections between microscopic structure, emergent physical properties, and slow dynamics has long been a challenge when studying the glass transition. The absence…
Rotation-equivariant Graph Neural Networks for Learning Glassy Liquids Representations
Francesco Saverio Pezzicoli, Guillaume Charpiat, François P. Landes
The difficult problem of relating the static structure of glassy liquids and their dynamics is a good target for Machine Learning, an approach which excels at finding complex patte…
Phase separation and critical size in molecular sorting
Elisa Floris, Andrea Piras, Francesco Saverio Pezzicoli +3
Molecular sorting is a fundamental process that allows eukaryotic cells to distill and concentrate specific chemical factors in appropriate cell membrane subregions, thus endowing…