Literature DB >> 34850315

Diffusion and convection in nature.

Alberto Vailati1, Shenghua Xu2, Stefano Aime3, Fabrizio Croccolo4.   

Abstract

We present the Topical Issue 'Diffusion and Convection in Nature'.
© 2021. The Author(s), under exclusive licence to EDP Sciences, SIF and Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Year:  2021        PMID: 34850315      PMCID: PMC8631254          DOI: 10.1140/epje/s10189-021-00148-0

Source DB:  PubMed          Journal:  Eur Phys J E Soft Matter        ISSN: 1292-8941            Impact factor:   1.890


Introduction

Diffusion and convection are the two facets of mass transport phenomena in fluids. While diffusion stems from the thermal motion of molecules at the microscale, convection involves the collective motion of particles at the macroscale. Both phenomena can be observed in many natural systems, even beyond the realm of fluid dynamics. Several studies have focused, for example, on the diffusion of languages in human communities [1], as well as on viruses, as in the case of the recent COVID-19 pandemic [2]. Collective motion can be observed in the value of stocks as well as in the movement of flocks of birds  [3], which are just a couple of examples of self-organised flow observed in systems other than fluids. In this Topical Issue, our specific aim was to attract contributions from authors working in more general fields of science, with the goal of sharing common knowledge on modelling tools, as well as statistical analysis of experimental data, or even numerical tools for simulating the similar behaviour of different systems.

Topical issue

The EPJE Topical Issue ‘Diffusion and Convection in Nature’ contains a total of seven scientific papers classified into two groups, namely ‘diffusion’ and ‘convection’. The published papers are presented in scattered order in the following.

Diffusion

Diffusion is a fundamental transport process that stems from the movement of molecules due to thermal agitation at the microscale. It is driven by the presence of a gradient in one or more thermodynamic variables, and its effects can be observed at any scale, from the microscopic to the macroscopic. In recent years, much attention has been focused on the behaviour of non-equilibrium fluctuations and their long-range nature in the presence of a macroscopic gradient [4] that is the link between the random walk of molecules and the large-scale behaviour of diffusion in natural systems. In this Topical Issue, we host contributions in different fields where diffusion plays an important role. In the paper by Armin Afrough [5], a magnetic resonance method is applied to investigate the diffusion of liquids in geological porous materials, showing that the analysis can be more complicated than commonly believed. In the paper by Nathalie Bergeon, Guillaume Reinhart, Fatima L. Mota, Nathalie Mangelinck-Noël and Henri Nguyen-Thi [6], microgravity experiments are compared to ground-based ones in order to remove buoyancy forces and detect only the diffusive effects that lead to the solidification processes of metal alloys, comparing experimental results to existing theories and numerical results. In the paper by Fabio Giavazzi, Antara Pal and Roberto Cerbino [7], a method is described to simultaneously investigate the rotational and translational diffusive behaviour of colloidal particles by means of a simple microscope and a modification of the well-known differential dynamic microscopy method [8].

Convection

Convection is a macroscopic transport mechanism that is ubiquitous in nature. Convection is often driven by the force of gravity and initiated by the amplification of non-equilibrium fluctuations, as recently shown in the literature [9]. In the paper by Bingchuan Nie, Yutao Shao and Feng Xu [10], the authors explore the impact of boundary conditions when isothermal and isoflux conditions coexist in different parts of the section of a wall, with possible applications to the study of building envelopes and their thermal performance. In the paper by Noureddine Latrache and Innocent Mutabazi [11], the transition to turbulence is investigated in Taylor–Couette flow of a viscoelastic polymer solution by varying the rotation speed of the inner cylinder of the apparatus. A similar apparatus is utilised in the paper by Awasthi and Hoshoudy [12], where the impact of heat and mass transfer on instability are investigated. Finally, in the paper by Thameem Basha and Sivaraj [13], the flow of blood containing nanoparticles through a porous tube is investigated for possible medical applications.
  13 in total

1.  Scaling of the spatial power spectrum of excitations at the onset of solutal convection in a nanofluid far from equilibrium.

Authors:  Fabio Giavazzi; Alberto Vailati
Journal:  Phys Rev E Stat Nonlin Soft Matter Phys       Date:  2009-07-09

2.  Transition to turbulence via flame patterns in viscoelastic Taylor-Couette flow.

Authors:  Noureddine Latrache; Innocent Mutabazi
Journal:  Eur Phys J E Soft Matter       Date:  2021-05-02       Impact factor: 1.890

3.  Exploring the heat transfer and entropy generation of Ag/Fe[Formula: see text]O[Formula: see text]-blood nanofluid flow in a porous tube: a collocation solution.

Authors:  H Thameem Basha; R Sivaraj
Journal:  Eur Phys J E Soft Matter       Date:  2021-03-15       Impact factor: 1.890

4.  Study of heat and mass transport on the instability of a swirling viscoelastic liquid film.

Authors:  Mukesh Kumar Awasthi; G A Hoshoudy
Journal:  Eur Phys J E Soft Matter       Date:  2021-03-22       Impact factor: 1.890

Review 5.  Non-local fluctuation phenomena in liquids.

Authors:  F Croccolo; J M Ortiz de Zárate; J V Sengers
Journal:  Eur Phys J E Soft Matter       Date:  2016-12-20       Impact factor: 1.890

6.  Analysis of gravity effects during binary alloy directional solidification by comparison of microgravity and Earth experiments with in situ observation.

Authors:  Nathalie Bergeon; Guillaume Reinhart; Fatima L Mota; Nathalie Mangelinck-Noël; Henri Nguyen-Thi
Journal:  Eur Phys J E Soft Matter       Date:  2021-07-20       Impact factor: 1.890

7.  Spreading of infections on random graphs: A percolation-type model for COVID-19.

Authors:  Fabrizio Croccolo; H Eduardo Roman
Journal:  Chaos Solitons Fractals       Date:  2020-07-03       Impact factor: 9.922

8.  Probing roto-translational diffusion of small anisotropic colloidal particles with a bright-field microscope.

Authors:  Fabio Giavazzi; Antara Pal; Roberto Cerbino
Journal:  Eur Phys J E Soft Matter       Date:  2021-04-26       Impact factor: 1.890

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