4.8 Article

Direct Laser Writing-Based Programmable Transfer Printing via Bioinspired Shape Memory Reversible Adhesive

Journal

ACS APPLIED MATERIALS & INTERFACES
Volume 8, Issue 51, Pages 35628-35633

Publisher

AMER CHEMICAL SOC
DOI: 10.1021/acsami.6b11696

Keywords

programmable transfer printing; direct laser-writing; bioinspired; shape memory polymers; micropatterns

Funding

  1. National Basic Research Program of China [2015CB351900]
  2. National Natural Science Foundation of China [11222220, 11320101001, 21474084, 11502128, 11502126]
  3. Tsinghua University Initiative Scientific Research Program
  4. Chinese central government

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Flexible and stretchable electronics offer a wide range of unprecedented opportunities beyond conventional rigid electronics. Despite their vast promise, a significant bottleneck lies in the availability of a transfer printing technique to manufacture such devices in a highly controllable and scalable manner. Current technologies usually rely on manual stick-and-place and do not offer feasible mechanisms for precise and quantitative process control, especially when scalability is taken into account. Here, we demonstrate a spatioselective and programmable transfer strategy to print electronic microelements onto a soft substrate. The method takes advantage of automated direct laser writing to trigger localized heating of a micropatterned shape memory polymer adhesive stamp, allowing highly controlled and spatioselective switching of the interfacial adhesion. This, coupled to the proper tuning of the stamp properties, enables printing with perfect yield. The wide range adhesion switchability further allows printing of hybrid electronic elements, which is otherwise challenging given the complex interfacial manipulation involved. Our temperature-controlled transfer printing technique shows its critical importance and obvious advantages in the potential scale-up of device manufacturing. Our strategy opens a route to manufacturing flexible electronics with exceptional versatility and potential scalability.

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