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Large-Scale Dynamics of Self-propelled Particles Moving Through Obstacles: Model Derivation and Pattern Formation.
Aceves-Sanchez, P; Degond, P; Keaveny, E E; Manhart, A; Merino-Aceituno, S; Peurichard, D.
Afiliação
  • Aceves-Sanchez P; Department of Mathematics, North Carolina State University, Raleigh, NC, 27695, USA.
  • Degond P; Department of Mathematics, Imperial College London, London, SW7 2AZ, UK.
  • Keaveny EE; Department of Mathematics, Imperial College London, London, SW7 2AZ, UK.
  • Manhart A; Department of Mathematics, University College London, London, WC1H 0AY, United Kingdom. a.manhart@ucl.ac.uk.
  • Merino-Aceituno S; Faculty for Mathematics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria.
  • Peurichard D; Department of Mathematics, University of Sussex, Brighton, BN1 9RH, UK.
Bull Math Biol ; 82(10): 129, 2020 09 25.
Article em En | MEDLINE | ID: mdl-32978682
ABSTRACT
We model and study the patterns created through the interaction of collectively moving self-propelled particles (SPPs) and elastically tethered obstacles. Simulations of an individual-based model reveal at least three distinct large-scale patterns travelling bands, trails and moving clusters. This motivates the derivation of a macroscopic partial differential equations model for the interactions between the self-propelled particles and the obstacles, for which we assume large tether stiffness. The result is a coupled system of nonlinear, non-local partial differential equations. Linear stability analysis shows that patterning is expected if the interactions are strong enough and allows for the predictions of pattern size from model parameters. The macroscopic equations reveal that the obstacle interactions induce short-ranged SPP aggregation, irrespective of whether obstacles and SPPs are attractive or repulsive.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação de Dinâmica Molecular / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Simulação de Dinâmica Molecular / Modelos Teóricos Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2020 Tipo de documento: Article