journal article·2025-02Open access

High‐Resolution Self‐Assembly of Functional Materials and Microscale Devices via Selective Plasma Induced Surface Energy Programming

Luke J. Tinsley, Prakash Karipoth, James H. Chandler, Silvia Taccola, Pietro Valdastri, Russell A. Harris

Small· Volume 21· Issue 6

Abstract

Abstract Current technologies preclude effective and efficient self‐assembly of heterogeneous arrangements of functional materials between 10−1 and 10−5 m. Consequently, their fabrication is dominated by methods of direct material manipulation, which struggle to meet the designers’ demands regarding resolution, material freedom, production time, and cost. A two‐step, computer‐controlled is presented, multi‐material self‐assembly technique that allows heterogenous patterns of several centimeters with features down to 12.5 µm in size. First, a micro plasma jet selectively programs the surface energy of a polydimethylsiloxane substrate through localized chemical functionalization. Second, polar fluids containing functional materials are simplistically introduced which then self‐assemble according to the patterned regions of high surface energy over timescales of the order of seconds. In‐process control enables both high‐resolution patterning and high throughput. This approach is demonstrated to produce heterogenous patterns of materials with varying conductive, magnetic, and mechanical properties. These include magneto‐mechanical films and flexible electronic devices with unprecedented processing times and economy for high‐resolution patterns. This self‐assembly approach can disrupt the current lithography/direct write paradigm that dominates micro/meso‐fabrication, enabling the next generation of devices across a broad range of fields via a flexible, industrially scalable, and environmentally friendly manufacturing route.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Advanced Sensor and Energy Harvesting Materials · Advanced Materials and Mechanics · Micro and Nano Robotics

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Future Manufacturing Processes Research Group, School of Mechanical Engineering University of Leeds LS2 9JT United Kingdom

STORM Lab, School of Electrical Engineering University of Leeds LS2 9JT United Kingdom

Funding

Engineering and Physical Sciences Research Council

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