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Absolute Negative Mobility of an Active Tracer in a Crowded Environment.
Rizkallah, Pierre; Sarracino, Alessandro; Bénichou, Olivier; Illien, Pierre.
Afiliação
  • Rizkallah P; Sorbonne Université, CNRS, Laboratoire de Physico-Chimie des Électrolytes et Nanosystèmes Interfaciaux (PHENIX), 4 Place Jussieu, 75005 Paris, France.
  • Sarracino A; Dipartimento di Ingegneria, Università della Campania Luigi Vanvitelli, 81031 Aversa (CE), Italy.
  • Bénichou O; Istituto dei Sistemi Complessi-CNR, P.le Aldo Moro 2, 00185, Rome, Italy.
  • Illien P; Sorbonne Université, CNRS, Laboratoire de Physique Théorique de la Matière Condensée (LPTMC), 4 Place Jussieu, 75005 Paris, France.
Phys Rev Lett ; 130(21): 218201, 2023 May 26.
Article em En | MEDLINE | ID: mdl-37295085
Absolute negative mobility (ANM) refers to the situation where the average velocity of a driven tracer is opposite to the direction of the driving force. This effect was evidenced in different models of nonequilibrium transport in complex environments, whose description remains effective. Here, we provide a microscopic theory for this phenomenon. We show that it emerges in the model of an active tracer particle submitted to an external force and which evolves on a discrete lattice populated with mobile passive crowders. Resorting to a decoupling approximation, we compute analytically the velocity of the tracer particle as a function of the different parameters of the system and confront our results to numerical simulations. We determine the range of parameters where ANM can be observed, characterize the response of the environment to the displacement of the tracer, and clarify the mechanism underlying ANM and its relationship with negative differential mobility (another hallmark of driven systems far from the linear response).

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França País de publicação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Phys Rev Lett Ano de publicação: 2023 Tipo de documento: Article País de afiliação: França País de publicação: Estados Unidos