Chirality enhances diffusion in disordered environments
Abstract
Chirality, a systematic rotational bias in the motion of a particle, arises in a wide range of physical and biological systems, from charged colloids in magnetic fields to swimming bacteria near surfaces. While its effects in homogeneous environments are well understood, the interplay between chirality and structural disorder has remained largely unexplored. Here we investigate the chiral random walk on two-dimensional percolation clusters above the percolation threshold, combining numerical simulations with an analytically tractable annealed-disorder approximation. We find that the long-time diffusion coefficient depends non-monotonically on both the chirality parameter and the obstacle density: for every obstacle density above the percolation threshold, there exists an optimal chirality that enhances diffusion relative to the achiral walk. We show that the optimal chirality is set by an edge-adhering mechanism: maximum diffusion is achieved when the persistence length of the wall-adhering motion matches half the typical obstacle cluster perimeter. This yields a closed-form prediction for the optimal chirality in terms of geometric properties of the medium alone, which we verify across the full range of obstacle densities studied. The enhancement extends to first-passage statistics, where chirality shortens typical search times at strong disorder while lengthening them at weak disorder, with direct implications for biological navigation in disordered environments.
Versions
Related
- Revisiting Percolation and Molecular Diffusion in Disordered Pore Networks
- Reconfigurable linear and nonlinear chirality in a quasi-BIC metasurface
- Expression of chirality in molecular layers at surfaces: insights from modelling
- Chirality-controlled conjugate complex-gradient differentiation at a reciprocal photonic Weyl interface
- Single-chirality single-walled carbon nanotubes for electrochemical co-detection of serotonin and dopamine
BibTeX
@misc{uhlig2026chirality,
title = {{Chirality enhances diffusion in disordered environments}},
author = {Joshua Uhlig and Jan Wójcik and Ralf Metzler and Erik Kalz},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.12680},
eprint = {2609.12680},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.12680},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Chirality enhances diffusion in disordered environments
AU - Joshua Uhlig
AU - Jan Wójcik
AU - Ralf Metzler
AU - Erik Kalz
PY - 2026
DA - 2026/09/11
PB - arXiv
DO - 10.48550/arxiv.2609.12680
UR - https://arxiv.org/abs/2609.12680
AB - Chirality, a systematic rotational bias in the motion of a particle, arises in a wide range of physical and biological systems, from charged colloids in magnetic fields to swimming bacteria near surfaces. While its effects in homogeneous environments are well understood, the interplay between chirality and structural disorder has remained largely unexplored. Here we investigate the chiral random walk on two-dimensional percolation clusters above the percolation threshold, combining numerical simulations with an analytically tractable annealed-disorder approximation. We find that the long-time diffusion coefficient depends non-monotonically on both the chirality parameter and the obstacle density: for every obstacle density above the percolation threshold, there exists an optimal chirality that enhances diffusion relative to the achiral walk. We show that the optimal chirality is set by an edge-adhering mechanism: maximum diffusion is achieved when the persistence length of the wall-adhering motion matches half the typical obstacle cluster perimeter. This yields a closed-form prediction for the optimal chirality in terms of geometric properties of the medium alone, which we verify across the full range of obstacle densities studied. The enhancement extends to first-passage statistics, where chirality shortens typical search times at strong disorder while lengthening them at weak disorder, with direct implications for biological navigation in disordered environments.
ER -