Attaining entropy production and dissipation maps from Brownian movies via neural networks

1 code implementation • 29 Jun 2021 • Youngkyoung Bae, Dong-Kyum Kim, Hawoong Jeong

We show that our method accurately measures the EP and creates a dissipation map in two nonequilibrium systems, the bead-spring model and a network of elastic filaments.

Time Series Time Series Analysis

Deep reinforcement learning for feedback control in a collective flashing ratchet

1 code implementation • 20 Nov 2020 • Dong-Kyum Kim, Hawoong Jeong

A collective flashing ratchet transports Brownian particles using a spatially periodic, asymmetric, and time-dependent on-off switchable potential.

reinforcement-learning Reinforcement Learning (RL)

Learning entropy production via neural networks

2 code implementations • 9 Mar 2020 • Dong-Kyum Kim, Youngkyoung Bae, Sangyun Lee, Hawoong Jeong

This Letter presents a neural estimator for entropy production, or NEEP, that estimates entropy production (EP) from trajectories of relevant variables without detailed information on the system dynamics.