Time : 2021/07/07 (Wed.) 10:30
Place : online 
https://mit.zoom.us/j/97542485178?pwd=a01HeC9EbzBESjJucS9lR0cwam85QT09

Understanding noisy information engines is a fundamental problem of nonequilibrium physics, particularlyin biomolecular systems agitated by thermal and active fluctuations. One expects noise to hinderinformation processing and thereby the efficiency of the engines, which – according to the generalizedsecond law of thermodynamics – is bounded by the mutual information. Yet, the direct measurement of theinformation-energy interplay has so far been elusive. Here, we explore the entire phase space of a Brownianinformation engine operating in a nonequilibrium steady-state and examine how the interplay of workfluctuation, mutual information, and dissipation shapes the information conversion efficiency of the engine.We find that the average information conversion efficiency is maximal for non-zero noise level, near whichthe dissipation is minimal. Furthermore, the distribution of efficiency switches from bimodal to unimodal,and the stochastic efficiency often exceeds the bound set by the generalized second law. In the second partof my talk, I will present our findings on the dynamics of passive Brownian particles under non-Gaussianactive fluctuations and demonstrate the observation of a new type of bona fide stochastic resonance in theactive bath.

 

References
[1] G. Paneru, D. Y. Lee, T. Tlusty, and H. K. Pak, “Lossless Brownian information engine,”Physical Review Letters 120, 020601 (2018).

[2] G. Paneru, S. Dutta, T. Sagawa, T. Tlusty, and H. K. Pak, “Efficiency fluctuations and noiseinduced refrigerator-to-heater transition in an information engine,” Nature Communications 11,1012 (2020).

[3] G. Paneru, S. Dutta, T. Tlusty, and H. K. Pak, “Reaching and violating thermodynamic uncertaintybounds in information engines,” Physical Review E 102, 032126 (2020).

[4] G. Paneru, T. Tlusty, and H. K. Pak, “New type of stochastic resonance in an active bath,”arxiv.org/abs/2106.12443.