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Multiple Ink Nanolithography: Toward a Multiple-Pen Nano-Plotter
Abstract
The formation of intricate nanostructures will require the ability to maintain surface registry during several patterning steps. A scanning probe method, dip-pen nanolithography (DPN), can be used to pattern monolayers of different organic molecules down to a 5-nanometer separation. An “overwriting” capability of DPN allows one nanostructure to be generated and the areas surrounding that nanostructure to be filled in with a second type of “ink.”
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Cited by
One‐Dimensional Nanostructures: Synthesis, Characterization, and Applications
Xia, Y., Yang, P., Sun, Y., Wu, Y., Mayers, B., Gates, B., Yin, Y., Kim, F., & Yan, H. (2003) · Advanced Materials · doi:10.1002/adma.200390087 · Cited by 8,559
One‐Dimensional Composite Nanomaterials: Synthesis by Electrospinning and Their Applications
Lu, X., Wang, C., & Wei, Y. (2009) · Small · doi:10.1002/smll.200900445 · Cited by 874
Challenges and breakthroughs in recent research on self-assembly
Ariga, K., Hill, J. P., Lee, M. V., Vinu, A., Charvet, R., & Acharya, S. (2008) · Science and Technology of Advanced Materials · doi:10.1088/1468-6996/9/1/014109 · Cited by 759
Direct Patterning of Modified Oligonucleotides on Metals and Insulators by Dip-Pen Nanolithography
Demers, L. M., Ginger, D. S., Park, S.-J., Li, Z., Chung, S.-W., & Mirkin, C. A. (2002) · Science · doi:10.1126/science.1071480 · Cited by 721
Self-citationBlock copolymer micelle nanolithography
Glass, R., M ller, M., & Spatz, J. P. (2003) · Nanotechnology · doi:10.1088/0957-4484/14/10/314 · Cited by 513
Metadata
- Authors
- Hong, S., Zhu, J., & Mirkin, C. A.
- Venue
- Science
- Published
- 1999-10-15
- Volume
- 286
- Issue
- 5439
- Pages
- 523-525
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1997268642
- Cited by
- 543
- References
- 0
- FWCI
- 29.42
- Type
- journal article
- Language
- en
- Open access
- closed
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- Hong, S., Zhu, J., & Mirkin, C. A. (1999). Multiple Ink Nanolithography: Toward a Multiple-Pen Nano-Plotter. Science. https://doi.org/10.1126/science.286.5439.523
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.