A model-free neural network estimates local entropy production from trajectories, revealing that time-reversal breaking in a flocking model concentrates at the interface between order and disorder.
Entropy production along a stochastic trajectory and an integral fluctuation theorem
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Model-free learning of probability flows: Elucidating the nonequilibrium dynamics of flocking
A model-free neural network estimates local entropy production from trajectories, revealing that time-reversal breaking in a flocking model concentrates at the interface between order and disorder.