Visually encoded mechanoluminescence through hierarchical structuring with microscale patterns and nanoscale features

Mechanoluminescence (ML), with its mechano-optical properties, is promising in electronics, photonics, and advanced sensing technologies. However, current thin-film mechanoluminescent devices can hardly provide any pixelated force information attributed to the bottlenecks of their low overall light emission efficiency and poor luminescent contrast. This prevents mechanoluminescent devices from advancing further to full-fledged programmable visual force sensors. Here, we show hierarchical multiscale structures enhanced mechanoluminescent force sensors that leverage the stress-light interaction of multiscale-structured arrays to achieve user-defined pixelated force sensitivity on a uniform ML membrane, delivering a high-resolution output of 637 pixels per inch (PPI). Combining stress localization from the microscale structures and light extraction enhancement from the nanoscale patterns, the ML force-sensing membrane produces a dynamic contrast pattern at 521 nm using a single light-centering material with 366% of light intensity comparing to the bare film. The further demonstration of such multiscale-structured ML in creating force-sensitive counterfeits showcases its potential in developing pixelated and programmable force-light interaction systems.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-10-29
DOI
https://doi.org/10.1038/s41467-025-64558-w
Primary Topic
Force Microscopy Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Visually encoded mechanoluminescence through hierarchical structuring with microscale patterns and nanoscale features

Xiaole Ma, Guifu Ding, Faheng Zang, Jie Ma et al.
Nature Communications
Force Microscopy Techniques and Applications
article

Visually encoded mechanoluminescence through hierarchical structuring with microscale patterns and nanoscale features

Xiaole Ma, Guifu Ding, Faheng Zang, Jie Ma, Yuhan Ren, Di Wu, Zhuoqing Yang, Jing Li, Jiaxiang Wang, Zhijuan Su
article en

Abstract

Mechanoluminescence (ML), with its mechano-optical properties, is promising in electronics, photonics, and advanced sensing technologies. However, current thin-film mechanoluminescent devices can hardly provide any pixelated force information attributed to the bottlenecks of their low overall light emission efficiency and poor luminescent contrast. This prevents mechanoluminescent devices from advancing further to full-fledged programmable visual force sensors. Here, we show hierarchical multiscale structures enhanced mechanoluminescent force sensors that leverage the stress-light interaction of multiscale-structured arrays to achieve user-defined pixelated force sensitivity on a uniform ML membrane, delivering a high-resolution output of 637 pixels per inch (PPI). Combining stress localization from the microscale structures and light extraction enhancement from the nanoscale patterns, the ML force-sensing membrane produces a dynamic contrast pattern at 521 nm using a single light-centering material with 366% of light intensity comparing to the bare film. The further demonstration of such multiscale-structured ML in creating force-sensitive counterfeits showcases its potential in developing pixelated and programmable force-light interaction systems.

Nature CommunicationsVol. 16(1)
Shanghai Jiao Tong University (CN), Ghent University (BE), Dalian Maritime University (CN)
National Natural Science Foundation of China, Shanghai Jiao Tong University
Openalex Percentile: Top 75%
Force Microscopy Techniques and Applications
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.