High-resolution liquid metal–based stretchable electronics enabled by colloidal self-assembly and microtransfer printing

Liquid metal-based stretchable electronics offer high electrical performance and seamless integration with deformable systems but face challenges in achieving scalable, high-resolution patterning. In this work, we present a method for micropatterning liquid metal particle (LMP) films with feature sizes as small as 5 micrometers by integrating electrostatically enabled colloidal self-assembly and microtransfer printing. The resulting cold-welded LMP micropatterns exhibit exceptional electromechanical properties, high conductivity (2.4 × 10<sup>6</sup> siemens per meter), stretchability (more than 1200%), and strain- and pressure-insensitive resistance, owing to their multiscale and dynamic morphologies. Demonstrations in highly stretchable strain sensors and cardiac mapping devices highlight the capabilities of this method for creating high-performance, highly stretchable electronic systems. Notably, balloon catheter-integrated LMP microelectrode arrays show low impedance under extreme deformations and enable high-resolution endocardial electrogram mapping inside the human heart. This method expands the potential of liquid metal-based stretchable electronics for a wide range of applications, including implantable biomedical devices and soft robotics.

Authors

Institutions

Publication Details

Journal
Science Advances
Published
2025-08-29
DOI
https://doi.org/10.1126/sciadv.adw3044
Citations
13
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
8.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

High-resolution liquid metal–based stretchable electronics enabled by colloidal self-assembly and microtransfer printing

Igor R. Efimov, Amy Burrell, Qinai Zhao, Xinghao Huang et al.
13 citations
Science Advances
Advanced Sensor and Energy Harvesting Materials
8.76
article

High-resolution liquid metal–based stretchable electronics enabled by colloidal self-assembly and microtransfer printing

Igor R. Efimov, Amy Burrell, Qinai Zhao, Xinghao Huang, Hangbo Zhao, Aleksei Mikhailov, Rishi Arora, Liting Yin, Eric Rytkin, Anna Pfenniger, Xuan Li, Liheng Yang, Pranav G. Bhat, Bohan Yang
article en
13 citations

Abstract

Liquid metal-based stretchable electronics offer high electrical performance and seamless integration with deformable systems but face challenges in achieving scalable, high-resolution patterning. In this work, we present a method for micropatterning liquid metal particle (LMP) films with feature sizes as small as 5 micrometers by integrating electrostatically enabled colloidal self-assembly and microtransfer printing. The resulting cold-welded LMP micropatterns exhibit exceptional electromechanical properties, high conductivity (2.4 × 10<sup>6</sup> siemens per meter), stretchability (more than 1200%), and strain- and pressure-insensitive resistance, owing to their multiscale and dynamic morphologies. Demonstrations in highly stretchable strain sensors and cardiac mapping devices highlight the capabilities of this method for creating high-performance, highly stretchable electronic systems. Notably, balloon catheter-integrated LMP microelectrode arrays show low impedance under extreme deformations and enable high-resolution endocardial electrogram mapping inside the human heart. This method expands the potential of liquid metal-based stretchable electronics for a wide range of applications, including implantable biomedical devices and soft robotics.

Science AdvancesVol. 11(35)
Northwestern University (US), University of Southern California (US), University of Chicago (US), Northwestern University (PH), Renal Research Institute (US)
Openalex Percentile: Top 2%
Advanced Sensor and Energy Harvesting Materials
8.76
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.