Rotation-equivariant Graph Neural Networks for Learning Glassy Liquids Representations

no code implementations • 6 Nov 2022 • 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 patterns hidden in data.

Transfer Learning Translation

Attractive versus truncated repulsive supercooled liquids: The dynamics is encoded in the pair correlation function

no code implementations • 3 Jun 2019 • François P. Landes, Giulio Biroli, Olivier Dauchot, Andrea J. Liu, David R. Reichman

We compare glassy dynamics in two liquids that differ in the form of their interaction potentials.

BIG-bench Machine Learning