2018
DOI: 10.1039/c8cp05238g
|View full text |Cite
|
Sign up to set email alerts
|

Viscoelastic subdiffusion in a random Gaussian environment

Abstract: Viscoelastic subdiffusion governed by a fractional Langevin equation is studied numerically in a random Gaussian environment modeled by stationary Gaussian potentials with decaying spatial correlations. This anomalous diffusion is archetypal for living cells, where cytoplasm is known to be viscoelastic and a spatial disorder also naturally emerges. We obtain some first important insights into it within a model one-dimensional study. Two basic types of potential correlations are studied: short-range exponential… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

1
31
0

Year Published

2019
2019
2021
2021

Publication Types

Select...
4
2

Relationship

1
5

Authors

Journals

citations
Cited by 25 publications
(32 citation statements)
references
References 147 publications
(330 reference statements)
1
31
0
Order By: Relevance
“…2). In this formula, the non-Arrhenius factor exp[−( ∕k B T) 2 ] is due to the rugged Gaussian random potential, where is the root-mean-square variation in the protein-DNA interaction energies [55][56][57][58]. For further information, see Sects.…”
Section: One-dimensional Sliding Along Dnamentioning
confidence: 99%
See 1 more Smart Citation
“…2). In this formula, the non-Arrhenius factor exp[−( ∕k B T) 2 ] is due to the rugged Gaussian random potential, where is the root-mean-square variation in the protein-DNA interaction energies [55][56][57][58]. For further information, see Sects.…”
Section: One-dimensional Sliding Along Dnamentioning
confidence: 99%
“…Then the sliding dynamics is a Gaussian process, with the mean-squared displacement (MSD) increasing linearly with time t, i.e., ⟨x 2 (t)⟩ = 2Dt [3]. When the sliding dynamics is sequence-dependent, on the other hand, the sliding dynamics is subdiffusive [6,7,56,57] at certain timescales where the MSD grows with t as ⟨x 2 (t)⟩ ∝ t with the exponent ∈ (0, 1) [6,7,60,61].…”
Section: One-dimensional Sliding Along Dnamentioning
confidence: 99%
“…whereσ (t) is a memory function related with the ion conductivity that contemplates the non-instantaneous response of the system. [15][16][17][18] Furthermore,μ(r,t) is the non-equilibrium electrochemical potential given bỹ…”
Section: Irreversible Thermodynamics Of Ionic Transportmentioning
confidence: 99%
“…A more general expression of eqn (15) follows after noticing that ∆S m not only depends on φ . In fact, ∆S m also depends on the internal topology of the conducting channels or pores in such a way that it can be predicted on geometrical basis.…”
Section: Generalization Of the Conductivity Formula To More Complex Topologiesmentioning
confidence: 99%
“…Such kind of subdiffusion naturally emerges in dense polymeric solutions, colloidal liquids and glasses, as well as cytosol of living cells (Amblard et al (1996), Gittes et al (1997), Larson (1999), Mason and Weitz (1995), Pan et al (2009), Santamaría-Holek et al (2007), Waigh (2005, Weiss (2013)). A recent work by Goychuk (2018) explains how this kind of subdiffusion can win over the medium's disorder also featuring such complex heterogeneous media as cytosol.…”
Section: Introductionmentioning
confidence: 99%