Pith. sign in

REVIEW 1 cited by

Collisions enhance self-diffusion in odd-diffusive systems

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2206.13566 v1 pith:VW2RWZOJ submitted 2022-06-27 cond-mat.stat-mech cond-mat.soft

classification cond-mat.stat-mechcond-mat.soft
keywords collisionsself-diffusionsystemsodd-diffusiveparticlesbrowniancoefficienteffect
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

It is generally believed that collisions of particles reduce the self-diffusion coefficient. Here we show that in odd-diffusive systems, which are characterized by diffusion tensors with antisymmetric elements, collisions surprisingly can enhance the self-diffusion. In these systems, due to an inherent curving effect, the motion of particles is facilitated, instead of hindered by collisions leading to a mutual rolling effect. Using a geometric model, we analytically predict the enhancement of the self-diffusion coefficient with increasing density. This counterintuitive behaviour is demonstrated in the archetypal odd-diffusive system of Brownian particles under Lorentz force. We validate our findings by many body Brownian dynamics simulations in dilute systems.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. Odd dynamics of passive objects in a chiral active bath

    cond-mat.stat-mech 2024-12 conditional novelty 7.0 of 10

    In the adiabatic limit, a symmetric passive disk in a chiral active bath obeys an odd Einstein relation D⊥ = T_eff μ⊥, while rods and wedges show increasingly irreversible dynamics.

Pith tools