In this section
@article{Roberts:2023:10.1103/PhysRevE.108.014139,
author = {Roberts, C and Zhen, Z},
doi = {10.1103/PhysRevE.108.014139},
journal = {Phys Rev E},
title = {Run-and-tumble motion in a linear ratchet potential: Analytic solution, power extraction, and first-passage properties.},
url = {http://dx.doi.org/10.1103/PhysRevE.108.014139},
volume = {108},
year = {2023}
}
TY - JOUR
AB - We explore the properties of run-and-tumble particles moving in a piecewise-linear "ratchet" potential by deriving analytic results for the system's steady-state probability density, current, entropy production rate, extractable power, and thermodynamic efficiency. The ratchet's broken spatial symmetry rectifies the particles' self-propelled motion, resulting in a positive current that peaks at finite values of the diffusion strength, ratchet height, and particle self-propulsion speed. Similar nonmonotonic behavior is also observed for the extractable power and efficiency. We find the optimal apex position for generating maximum current varies with diffusion and that entropy production can have nonmonotonic dependence on diffusion. In particular, for vanishing diffusion, entropy production remains finite when particle self-propulsion is weaker than the ratchet force. Furthermore, power extraction with near-perfect efficiency is achievable in certain parameter regimes due to the simplifications afforded by modeling "dry" active particles. In the final part, we derive mean first-passage times and splitting probabilities for different boundary and initial conditions. This work connects the study of work extraction from active matter with exactly solvable active particle models and will therefore facilitate the design of active engines through these analytic results.
AU - Roberts,C
AU - Zhen,Z
DO - 10.1103/PhysRevE.108.014139
PY - 2023///
TI - Run-and-tumble motion in a linear ratchet potential: Analytic solution, power extraction, and first-passage properties.
T2 - Phys Rev E
UR - http://dx.doi.org/10.1103/PhysRevE.108.014139
UR - https://www.ncbi.nlm.nih.gov/pubmed/37583167
VL - 108
ER -