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Dataset supporting the publication: 'Development of systematic fitting model for nonlinear nanoelectromechanical resonance analysis’

Dataset supporting the publication: 'Development of systematic fitting model for nonlinear nanoelectromechanical resonance analysis’
Dataset supporting the publication: 'Development of systematic fitting model for nonlinear nanoelectromechanical resonance analysis’
This dataset supports 'Development of systematic fitting model for nonlinear nanoelectromechanical resonance analysis' paper in IEEE MEMS 2021 conference. This dataset contains: All figures that appear in the publication in the folder “Figures”. Raw data for measurement and simulation for each figure in the folder “Raw_data”. Information about geographic location of data collection: Experiment data was collected in Cryogenic Prober Station in Room 2022 Building 53, University of Southampton. UK, SO17 1BJ
Nonlinear behaviour, Nanoelectromechanical system, RF
University of Southampton
Ben, Fang
9e86862a-4dff-42d1-91f2-b799c1b4bd65
Fernando, James
a97e7403-b5bb-4bc4-9358-a3bf3cfcdcdc
Ou, Jun-Yu
3fb703e3-b222-46d2-b4ee-75f296d9d64d
Tsuchiya, Yoshishige
5a5178c6-b3a9-4e07-b9b2-9a28e49f1dc2
Ben, Fang
9e86862a-4dff-42d1-91f2-b799c1b4bd65
Fernando, James
a97e7403-b5bb-4bc4-9358-a3bf3cfcdcdc
Ou, Jun-Yu
3fb703e3-b222-46d2-b4ee-75f296d9d64d
Tsuchiya, Yoshishige
5a5178c6-b3a9-4e07-b9b2-9a28e49f1dc2

Ben, Fang (2021) Dataset supporting the publication: 'Development of systematic fitting model for nonlinear nanoelectromechanical resonance analysis’. University of Southampton doi:10.5258/SOTON/D1592 [Dataset]

Record type: Dataset

Abstract

This dataset supports 'Development of systematic fitting model for nonlinear nanoelectromechanical resonance analysis' paper in IEEE MEMS 2021 conference. This dataset contains: All figures that appear in the publication in the folder “Figures”. Raw data for measurement and simulation for each figure in the folder “Raw_data”. Information about geographic location of data collection: Experiment data was collected in Cryogenic Prober Station in Room 2022 Building 53, University of Southampton. UK, SO17 1BJ

Text
Fang_Ben_readme_IEEE_MEMS_2021.docx - Dataset
Available under License Creative Commons Attribution.
Download (21kB)
Archive
Raw_data.rar - Dataset
Available under License Creative Commons Attribution.
Download (273kB)
Archive
Figures.rar - Dataset
Available under License Creative Commons Attribution.
Download (5MB)

More information

Published date: 27 January 2021
Related URLs:
Keywords: Nonlinear behaviour, Nanoelectromechanical system, RF
Learn more about School of Electronics and Computer Science research Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about Zepler Institute for Photonics and Nanoelectronics research Learn more about Smart Electronic Materials and Systems research

Identifiers

Local EPrints ID: 478242
URI: http://eprints.soton.ac.uk/id/eprint/478242
DOI: doi:10.5258/SOTON/D1592
PURE UUID: ee76bd21-fedd-4923-910d-44d5ec76e1f7
ORCID for Fang Ben: ORCID iD orcid.org/0000-0002-8486-5583
ORCID for James Fernando: ORCID iD orcid.org/0000-0002-2526-8455
ORCID for Jun-Yu Ou: ORCID iD orcid.org/0000-0001-8028-6130

Catalogue record

Date deposited: 26 Jun 2023 16:44
Last modified: 25 Jul 2024 02:09

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Contributors

Creator: Fang Ben ORCID iD
Contributor: James Fernando ORCID iD
Contributor: Jun-Yu Ou ORCID iD
Data Manager: Yoshishige Tsuchiya

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