Harvesting information to control non-equilibrium states of active matter
Rémi Goerlich,
Luís Barbosa Pires,
Giovanni Manfredi
et al.
Abstract:We propose to use a correlated noise bath to drive an optically trapped Brownian particle that mimics active biological matter. Thanks to the flexibility and precision of our setup, we are able to control the different parameters that drive the stochastic motion of the particle with unprecedented accuracy, thus reaching strongly correlated regimes that are not easily accessible with real active matter. In particular, by using the correlation time (i.e., the "color") of the noise as a control parameter, we can … Show more
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