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Nanomoulding of Functional Materials, a Versatile Complementary Pattern Replication Method to Nanoimprinting

Nanomoulding of Functional Materials, a Versatile Complementary Pattern Replication Method to Nanoimprinting

Published on: January 23, 2013

Resist nanokirigami for multipurpose patterning.

Qing Liu¹, Yiqin Chen¹, Zhanyong Feng¹

¹National Engineering Research Center for High Efficiency Grinding, State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, College of Mechanical and Vehicle Engineering, Hunan University, Changsha410082, China.

National Science Review

|December 16, 2022

Summary

This summary is machine-generated.

Resist nanokirigami offers a novel patterning method by mechanically peeling resist films, reducing exposure areas. This technique efficiently fabricates complex nanostructures difficult for conventional methods.

Keywords:

electron-beam lithography inverse structure multi-scale patterning multipurpose patterning nanokirigami

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Area of Science:

Nanotechnology
Materials Science
Lithography

Background:

Resist-based patterning is crucial for micro- and nanoscale fabrication.
Conventional methods rely on selective scission or cross-linking via energy beams.

Purpose of the Study:

To introduce and demonstrate 'resist nanokirigami', a new resist-patterning strategy.
To showcase its advantages over conventional patterning techniques.

Main Methods:

Resist structures are defined by outlines.
Unwanted resist film is removed via selective mechanical peeling.
Final structures are revealed without direct energy beam exposure of the entire pattern.

Main Results:

Achieved efficient fabrication of complex nanostructures, including inverse nanostructures and freestanding plasmonic nanogaps.
Demonstrated the ability to create multi-scale electrodes.
Significantly reduced the area requiring energy beam exposure.

Conclusions:

Resist nanokirigami provides a complementary patterning solution.
Expands the capabilities of lithography for advanced nanostructure fabrication.
Offers higher efficiency for creating challenging multi-scale functional structures.