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Step-and-Repeat Nanoimprint-, Photo- and Laser Lithography from One Customised CNC Machine

Overview of attention for article published in Discover Nano, March 2016
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Title
Step-and-Repeat Nanoimprint-, Photo- and Laser Lithography from One Customised CNC Machine
Published in
Discover Nano, March 2016
DOI 10.1186/s11671-016-1341-9
Pubmed ID
Authors

Andrew IM Greer, Benoit Della-Rosa, Ali Z. Khokhar, Nikolaj Gadegaard

Abstract

The conversion of a computer numerical control machine into a nanoimprint step-and-repeat tool with additional laser- and photolithography capacity is documented here. All three processes, each demonstrated on a variety of photoresists, are performed successfully and analysed so as to enable the reader to relate their known lithography process(es) to the findings. Using the converted tool, 1 cm(2) of nanopattern may be exposed in 6 s, over 3300 times faster than the electron beam equivalent. Nanoimprint tools are commercially available, but these can cost around 1000 times more than this customised computer numerical control (CNC) machine. The converted equipment facilitates rapid production and large area micro- and nanoscale research on small grants, ultimately enabling faster and more diverse growth in this field of science. In comparison to commercial tools, this converted CNC also boasts capacity to handle larger substrates, temperature control and active force control, up to ten times more curing dose and compactness. Actual devices are fabricated using the machine including an expanded nanotopographic array and microfluidic PDMS Y-channel mixers.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 26%
Student > Ph. D. Student 6 26%
Student > Bachelor 2 9%
Professor > Associate Professor 2 9%
Student > Master 2 9%
Other 2 9%
Unknown 3 13%
Readers by discipline Count As %
Engineering 13 57%
Materials Science 2 9%
Agricultural and Biological Sciences 1 4%
Social Sciences 1 4%
Psychology 1 4%
Other 2 9%
Unknown 3 13%