Energetics of Brownian motors: a review

By Juan Manuel Rodríguez Parrondo, B. J. de Cisneros. 2002

203 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistical and Nonlinear Physics

View Paper: https://www.semanticscholar.org/paper/0b08b98f4007bef24c8fb19654d697bb0ad39cc1

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. P. Hänggi
2. U. Seifert

In Statistical and Nonlinear Physics

1. U. Seifert
2. P. Hänggi
3. A. C. Barato
4. Patrick Pietzonka
5. Fabio Marchesoni
6. Jordan M. Horowitz
7. Massimiliano Esposito
8. Karl J. Friston

Citations in the corpus

• Universal bound on the efficiency of molecular motors (2016, background): “Moreover, it holds for a huge class of motor models, arguably essentially for all models that are thermodynamically consistent whether based on discrete states or on a continuous potential as often used in ratchet models [2,3,33].”
• Artificial Brownian motors: Controlling transport on the nanoscale (2008, background): “…in contrast to rocked or pulsated ratchets, where the particle-potential interaction acts globally along the whole periodic substrate landscape, the transport mechanism at work here can be 19 better described as an “information” ratchet (Astumian and Derényi, 1998; Parrondo and de Cisneros, 2002).”