Current and efficiency optimization under oscillating forces in entropic barriers

Abstract

The transport of externally overdriven particles confined in entropic barriers is investigated under various types of oscillating and temporal forces. Temperature, load, and amplitude dependence of the particle current and energy conversion efficiency are investigated in three dimensions. For oscillating forces, the optimized temperature-load, amplitudetemperature, and amplitude-load intervals are determined when fixing the amplitude, load, and temperature, respectively. By using three-dimensional plots rather than two-dimensional ones, it is clearly shown that oscillating forces provide more efficiency compared with a temporal one in specified optimized parameter regions. Furthermore, the dependency of efficiency to the angle between the unbiased driving force and a constant force is investigated and an asymmetric angular dependence is found for all types of forces. Finally, it is shown that oscillating forces with a high amplitude and under a moderate load lead to higher efficiencies than a temporal force at both low and high temperatures for the entire range of contact angle.

The enhancement of energy conversion efficiency and current reversal in the feedback coupled ratchets subject to harmonic forces

“…(2019) 013211 nonequilibrium fluctuations. Those ratchets include forced thermal ratchets [4], rocking ratchets [5], flashing ratchets [6], correlation ratchets [7], entropic ratchets [8,9], and so on. This whole field presents an area of active research, as ratchet eects and the resulting net current can be utilized for applications like cargo transport, e.g.…”

Current transport and mass separation for an asymmetric fluctuation system with correlated noises

“…[5,11] It can be concluded that the correlated noises play a great role in the nonequilibrium motion process. In addition, there were also some studies on rocking ratchets, [12,13] the inertia ratchets, [14] feedback-control ratchet, [15] uncoupled neuron system, [16] the static bias, [17][18][19] mass separation, [20] entropy barrier, [21] the motion of fiber suspension, [22] nonmarkovian effect, [23] etc.…”