Multi-stimulus perception and visualization by an intelligent liquid metal-elastomer architecture

Hongzhang Wang*, Bo Yuan, Xiyu Zhu, Xiaohui Shan, Sen Chen, Wenbo Ding, Yingjie Cao, Kaichen Dong, Xudong Zhang, Rui Guo, Yuchen Yao, Bo Wang, Jianbo Tang*, Jing Liu*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

6 Citations (Scopus)

Abstract

Multi-stimulus responsive soft materials with integrated functionalities are elementary blocks for building soft intelligent systems, but their rational design remains challenging. Here, we demonstrate an intelligent soft architecture sensitized by magnetized liquid metal droplets that are dispersed in a highly stretchable elastomer network. The supercooled liquid metal droplets serve as microscopic latent heat reservoirs, and their controllable solidification releases localized thermal energy/information flows for enabling programmable visualization and display. This allows the perception of a variety of information-encoded contact (mechanical pressing, stretching, and torsion) and noncontact (magnetic field) stimuli as well as the visualization of dynamic phase transition and stress evolution processes, via thermal and/or thermochromic imaging. The liquid metal-elastomer architecture offers a generic platform for designing soft intelligent sensing, display, and information encryption systems.

Original languageEnglish
Article numbereadp5215
JournalScience advances
Volume10
Issue number21
DOIs
Publication statusPublished - 24 May 2024
Externally publishedYes

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