Brownian non-Gaussian diffusion of self-avoiding walks. (2nd September 2022)

• Record Type: Journal Article
• Authors: Marcone, Boris; Nampoothiri, Sankaran; Orlandini, Enzo; Seno, Flavio; Baldovin, Fulvio
• Is Part Of: Journal of physics. Volume 55:Number 35(2022)
• Publication Date: 2022-09-02
• Subjects: anomalous diffusion -- polymers -- critical phenomena; Mathematical physics -- Periodicals; Statistical physics -- Periodicals; Quantum theory -- Periodicals; Matter -- Properties -- Periodicals; 530.105
• DOI: 10.1088/1751-8121/ac83fd
• Languages: English
• ISSNs: 1751-8113

Abstract

Abstract: Three-dimensional Monte Carlo simulations provide a striking confirmation to a recent theoretical prediction: the Brownian non-Gaussian diffusion of critical self-avoiding walks. Although the mean square displacement of the polymer center of mass grows linearly with time (Brownian behavior), the initial probability density function is strongly non-Gaussian and crosses over to Gaussianity only at large time. Full agreement between theory and simulations is achieved without the employment of fitting parameters. We discuss simulation techniques potentially capable of addressing the study of anomalous diffusion under complex conditions like adsorption- or Theta-transition.