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Auteurs principaux: Xicheng, Huang, Zefei, Liu, Yong-Cong, Chen, Guohong, Yang, Ping, Ao
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2504.12038
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author Xicheng, Huang
Zefei, Liu
Yong-Cong, Chen
Guohong, Yang
Ping, Ao
author_facet Xicheng, Huang
Zefei, Liu
Yong-Cong, Chen
Guohong, Yang
Ping, Ao
contents We examined the Brownian motion of point defects in a two-dimensional hexagonal colloidal crystal, going beyond the conventional treatment that assumes constant diffusion coefficients. By extracting the spatially varying drift vector and diffusion matrix directly from experimental trajectories, we uncovered richer behavior than predicted by the simple diffusive limit. Within a general stochastic-dynamics framework, these measurements revealed an effective stochastic potential landscape shaped by the crystal's periodic structure. The energy differences between its local minima were consistent, to within an order of magnitude, with previous experimental estimates. Simulations of stochastic trajectories on this reconstructed landscape reproduced the essential features of the observed defect motion. This study illustrates how combining time-series extraction with theoretical analysis can expose effective energy landscapes and provide a powerful route to understanding complex dynamics in colloidal systems.
format Preprint
id arxiv_https___arxiv_org_abs_2504_12038
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Emergence of Periodic Potential for Point Defects in a 2D Hexagonal Colloidal Lattice
Xicheng, Huang
Zefei, Liu
Yong-Cong, Chen
Guohong, Yang
Ping, Ao
Soft Condensed Matter
Statistical Mechanics
We examined the Brownian motion of point defects in a two-dimensional hexagonal colloidal crystal, going beyond the conventional treatment that assumes constant diffusion coefficients. By extracting the spatially varying drift vector and diffusion matrix directly from experimental trajectories, we uncovered richer behavior than predicted by the simple diffusive limit. Within a general stochastic-dynamics framework, these measurements revealed an effective stochastic potential landscape shaped by the crystal's periodic structure. The energy differences between its local minima were consistent, to within an order of magnitude, with previous experimental estimates. Simulations of stochastic trajectories on this reconstructed landscape reproduced the essential features of the observed defect motion. This study illustrates how combining time-series extraction with theoretical analysis can expose effective energy landscapes and provide a powerful route to understanding complex dynamics in colloidal systems.
title Emergence of Periodic Potential for Point Defects in a 2D Hexagonal Colloidal Lattice
topic Soft Condensed Matter
Statistical Mechanics
url https://arxiv.org/abs/2504.12038