Automated Electric-Field-Based Nanowire Characterization, Manipulation, and Assembly

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

We present an integrated, electric-field-based method for Automated Characterization, Manipulation, and Assembly of Nanowires (ACMAN) into nanodevices by selectable electrical conductivities with precisely controlled positions and orientations. We combine electrophoresis-based motion-control, planning and manipulation strategies and contactless and solution-based electro-orientation spectroscopy (EOS) to simultaneously characterize and manipulate multiple individual nanowires. The ACMAN is a complete automated and online process to form functional nanodevice with desired electrical properties. We validate the ACMAN design by assembling field-effect transistors (FETs) with silicon nanowires of selected electrical conductivities. The results confirm the high performance of the FET by the ACMAN process.

Original languageEnglish (US)
Title of host publication2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018
PublisherIEEE Computer Society
Pages1612-1617
Number of pages6
ISBN (Electronic)9781538635933
DOIs
Publication statusPublished - Dec 4 2018
Event14th IEEE International Conference on Automation Science and Engineering, CASE 2018 - Munich, Germany
Duration: Aug 20 2018Aug 24 2018

Publication series

NameIEEE International Conference on Automation Science and Engineering
Volume2018-August
ISSN (Print)2161-8070
ISSN (Electronic)2161-8089

Other

Other14th IEEE International Conference on Automation Science and Engineering, CASE 2018
CountryGermany
CityMunich
Period8/20/188/24/18

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Yu, K., Yi, J., & Shan, J. (2018). Automated Electric-Field-Based Nanowire Characterization, Manipulation, and Assembly. In 2018 IEEE 14th International Conference on Automation Science and Engineering, CASE 2018 (pp. 1612-1617). [8560698] (IEEE International Conference on Automation Science and Engineering; Vol. 2018-August). IEEE Computer Society. https://doi.org/10.1109/COASE.2018.8560698