Dip pen nanolithography (DPN) : process and instrument performance with nanoInk's Nscriptor system

Precision nanoscale deposition is a fundamental requirement for much of current nanoscience research and promises to facilitate exciting industrial applications. Tailoring chemical composition and surface structure on the sub-100 nm scale benefits researchers in topics ranging from catalysis, to bio...

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Main Authors: Haaheim, Jason, Eby, Ray, Nelson, Mike, Fragala, Joe, Rosner, Bjoern, Zhang, Hua, Athas, Greg
Other Authors: School of Materials Science & Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/97256
http://hdl.handle.net/10220/10515
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-972562020-06-01T10:01:49Z Dip pen nanolithography (DPN) : process and instrument performance with nanoInk's Nscriptor system Haaheim, Jason Eby, Ray Nelson, Mike Fragala, Joe Rosner, Bjoern Zhang, Hua Athas, Greg School of Materials Science & Engineering DRNTU::Engineering::Materials Precision nanoscale deposition is a fundamental requirement for much of current nanoscience research and promises to facilitate exciting industrial applications. Tailoring chemical composition and surface structure on the sub-100 nm scale benefits researchers in topics ranging from catalysis, to biological recognition in nanoscale systems, to electronic connectivity on the nanoscale. Precision nanoscale deposition engenders applications such as additive photomask repair and nanodevice fabrication. Dip Pen Nanolithography™ (DPN™) is a scanning-probe-based direct-write technique for generating surface-patterned chemical functionality and discrete structures on the sub-100 nm scale. In this publication we explore the effects of changing tip radius and surface roughness. We find that blunter tips lead to higher minimum line widths and that higher rms surface roughness leads to higher minimum line widths; line edge roughness also increases with substrate roughness and surface feature size. Also, we characterize the performance of the Nscriptor DPN instrument and demonstrate the placement of pattern features with precision better than 10 nm, and size control better than 15% for sub-100 nm features. 2013-06-20T08:57:49Z 2019-12-06T19:40:38Z 2013-06-20T08:57:49Z 2019-12-06T19:40:38Z 2004 2004 Journal Article Haaheim, J., Eby, R., Nelson, M., Fragala, J., Rosner, B., Zhang, H., et al. (2005). Dip Pen Nanolithography (DPN): process and instrument performance with NanoInk's Nscriptor system. Ultramicroscopy, 103(2), 117-132. 0304-3991 https://hdl.handle.net/10356/97256 http://hdl.handle.net/10220/10515 10.1016/j.ultramic.2004.11.015 en Ultramicroscopy © 2004 Elsevier B.V.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Materials
spellingShingle DRNTU::Engineering::Materials
Haaheim, Jason
Eby, Ray
Nelson, Mike
Fragala, Joe
Rosner, Bjoern
Zhang, Hua
Athas, Greg
Dip pen nanolithography (DPN) : process and instrument performance with nanoInk's Nscriptor system
description Precision nanoscale deposition is a fundamental requirement for much of current nanoscience research and promises to facilitate exciting industrial applications. Tailoring chemical composition and surface structure on the sub-100 nm scale benefits researchers in topics ranging from catalysis, to biological recognition in nanoscale systems, to electronic connectivity on the nanoscale. Precision nanoscale deposition engenders applications such as additive photomask repair and nanodevice fabrication. Dip Pen Nanolithography™ (DPN™) is a scanning-probe-based direct-write technique for generating surface-patterned chemical functionality and discrete structures on the sub-100 nm scale. In this publication we explore the effects of changing tip radius and surface roughness. We find that blunter tips lead to higher minimum line widths and that higher rms surface roughness leads to higher minimum line widths; line edge roughness also increases with substrate roughness and surface feature size. Also, we characterize the performance of the Nscriptor DPN instrument and demonstrate the placement of pattern features with precision better than 10 nm, and size control better than 15% for sub-100 nm features.
author2 School of Materials Science & Engineering
author_facet School of Materials Science & Engineering
Haaheim, Jason
Eby, Ray
Nelson, Mike
Fragala, Joe
Rosner, Bjoern
Zhang, Hua
Athas, Greg
format Article
author Haaheim, Jason
Eby, Ray
Nelson, Mike
Fragala, Joe
Rosner, Bjoern
Zhang, Hua
Athas, Greg
author_sort Haaheim, Jason
title Dip pen nanolithography (DPN) : process and instrument performance with nanoInk's Nscriptor system
title_short Dip pen nanolithography (DPN) : process and instrument performance with nanoInk's Nscriptor system
title_full Dip pen nanolithography (DPN) : process and instrument performance with nanoInk's Nscriptor system
title_fullStr Dip pen nanolithography (DPN) : process and instrument performance with nanoInk's Nscriptor system
title_full_unstemmed Dip pen nanolithography (DPN) : process and instrument performance with nanoInk's Nscriptor system
title_sort dip pen nanolithography (dpn) : process and instrument performance with nanoink's nscriptor system
publishDate 2013
url https://hdl.handle.net/10356/97256
http://hdl.handle.net/10220/10515
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