ArticleLight, science & applications2024
Geometric phase-encoded stimuli-responsive cholesteric liquid crystals for visualizing real-time remote monitoring: humidity sensing as a proof of concept.
Article in Light, science & applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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Who cites it
11 citing papers in PubMed.
- Liquid Crystal Elastomers for Adaptive Intelligent Systems: From Molecular Design to Multifunctional Applications.Angewandte Chemie (International ed. in English) · 2026Review
- Deep Learning Inverse Design of Phase-Change Reconfigurable Terahertz Metadevices for Multidimensional Secure Communication.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- All-in-one optically interactive soft robots with embedded liquid crystal holography.Light, science & applications · 2026Article
- Mechanochromic cholesteric liquid crystal devices for mechanical strain detection.Scientific reports · 2026Article
- All-optical processors by 3D printable photochromic materials.Light, science & applications · 2025Article
- Reconfigurable nonlinear Pancharatnam-Berry diffractive optics with photopatterned ferroelectric nematics.Light, science & applications · 2025Article
- Dynamic optical chirality based on liquid-crystal-embedded nano-cilia photonic structures.Nature communications · 2025Article
- Electrically Switchable Multi-Stable Topological States Enabled by Surface-Induced Frustration in Nematic Liquid Crystal Cells.Advanced materials (Deerfield Beach, Fla.) · 2025Article
- Neuron-inspired CsPbBrLight, science & applications · 2025Article
- Omnidirectional color wavelength tuning of stretchable chiral liquid crystal elastomers.Light, science & applications · 2024Article
- Recent Progress in Droplet Structure Machining for Advanced Optics.Micromachines · 2024Review
Corrections and comments
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Authors and funding
9 authors.
Funding
Abstract
Liquid crystals are a vital component of modern photonics, and recent studies have demonstrated the exceptional sensing properties of stimuli-responsive cholesteric liquid crystals. However, existing cholesteric liquid crystal-based sensors often rely on the naked eye perceptibility of structural color or the measurement of wavelength changes by spectrometric tools, which limits their practical applications. Therefore, developing a platform that produces recognizable sensing signals is critical. In this study, we present a visual sensing platform based on geometric phase encoding of stimuli-responsive cholesteric liquid crystal polymers that generates real-time visual patterns, rather than frequency changes. To demonstrate this platform's effectiveness, we used a humidity-responsive cholesteric liquid crystal polymer film encoded with a q-plate pattern, which revealed that humidity causes a shape change in the vortex beam reflected from the encoded cholesteric liquid crystal polymers. Moreover, we developed a prototype platform towards remote humidity monitoring benefiting from the high directionality and long-range transmission properties of laser beams carrying orbital angular momentum. Our approach provides a novel sensing platform for cholesteric liquid crystals-based sensors that offers promising practical applications. The ability to generate recognizable sensing signals through visual patterns offers a new level of practicality in the sensing field with stimuli-responsive cholesteric liquid crystals. This platform might have significant implications for a broad readership and will be of interest to researchers working in the field of photonics and sensing technology.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.