Issue 22, 2025

Cholesteric liquid crystal roughness models: from statistical characterization to inverse engineering

Abstract

The surface geometry, particularly the curvature and roughness, play crucial roles in the functionalities of bio-compatible cholesteric liquid crystal (CLC) substrates. For example, experiments show increased alignment of hBMSCs (human bone-marrow-derived stromal cells) with larger curvature on a cylindrical manifold [Callens et al., Biomaterials, 2020, 232, 119739]. Previous studies on cholesteric liquid crystal surfaces have primarily focused on an elastic approach, which does not fully capture the anisotropic nature and multiscale wrinkling profiles. The objective of this research is to characterize the surface geometry of CLCs based on a generalized anisotropic anchoring model (the Rapini–Papoular model). In this paper, we propose both analytic approximations and direct numerical solutions for surface wrinkling, curvature profiles, and surface roughness characterization. We also explore the important limits of the Rapini–Papoular model, including lower bounds for the kurtosis and Willmore energy. The inverse problem offers an alternative approach to measuring the anchoring coefficients, which are difficult to determine experimentally. These findings suggest that surface anchoring is the key determinant of multiscale surface wrinkling patterns. This paper sheds light on the applications and functionalities of surface wrinkling patterns in liquid crystals and their solid analogues. Furthermore, this research incorporates a novel coordinate-free differential geometric approach and provides a general framework for studying dynamic properties and surface evolution.

Graphical abstract: Cholesteric liquid crystal roughness models: from statistical characterization to inverse engineering

Supplementary files

Article information

Article type
Paper
Submitted
04 Feb 2025
Accepted
10 May 2025
First published
16 May 2025
This article is Open Access
Creative Commons BY-NC license

Soft Matter, 2025,21, 4517-4532

Cholesteric liquid crystal roughness models: from statistical characterization to inverse engineering

Z. Wang, P. Servio and A. D. Rey, Soft Matter, 2025, 21, 4517 DOI: 10.1039/D5SM00121H

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party commercial publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements