Dataset supporting University of Southampton Doctoral Thesis 'Displacement detection in silicon nano-optoelectromechanical systems (NOEMS) for the development of artificial intelligence hardware'
Dataset supporting University of Southampton Doctoral Thesis 'Displacement detection in silicon nano-optoelectromechanical systems (NOEMS) for the development of artificial intelligence hardware'
Dataset supporting University of Southampton Doctoral Thesis 'Displacement detection in silicon nano-optoelectromechanical systems (NOEMS) for the development of artificial intelligence hardware'.
The data is supporting Chapter 3 of the above thesis as well as used in electrical spectral analysis of thermomechanical noise and in conference presentation/paper 'Spectral characterisation and tuning effect of picometre-scale thermomechanical motion for silicon NEMS resonators' (September 2021).
Data contains folders with LVM files which were downloaded from the control PC (generated by LabVIEW) and TRC files downloaded directly from the electronic spectrum analyser, produced by NEMS device actuation and thermomechanical noise probing (including via optical interferometry, as in the folders containing photodetector outputs '\ThermomechanicalElectrical_FreeSpaceOptical\W2D12_RNEM29_SA_Opt_2021_08_06\W2DA_RNEM29\PDoutput' and '\ThermomechanicalElectrical_FreeSpaceOptical\W2DA_RNEM24\pd_output') respectively.
Process details (prober laser optical power, applied electrical gate voltages and signal powers, device designations, spectral analysis stage conditions such as attenuation) are included in file/folder names.
Spectral analyser settings and the spreadsheet (ODS and XLSX) files are also included.
University of Southampton
Fernando, James
a97e7403-b5bb-4bc4-9358-a3bf3cfcdcdc
Ben, Fang
9e86862a-4dff-42d1-91f2-b799c1b4bd65
Tsuchiya, Yoshishige
5a5178c6-b3a9-4e07-b9b2-9a28e49f1dc2
Ou, Bruce (Jun-Yu)
3fb703e3-b222-46d2-b4ee-75f296d9d64d
Fernando, James
a97e7403-b5bb-4bc4-9358-a3bf3cfcdcdc
Ben, Fang
9e86862a-4dff-42d1-91f2-b799c1b4bd65
Tsuchiya, Yoshishige
5a5178c6-b3a9-4e07-b9b2-9a28e49f1dc2
Ou, Bruce (Jun-Yu)
3fb703e3-b222-46d2-b4ee-75f296d9d64d
Fernando, James
(2024)
Dataset supporting University of Southampton Doctoral Thesis 'Displacement detection in silicon nano-optoelectromechanical systems (NOEMS) for the development of artificial intelligence hardware'.
University of Southampton
doi:10.5258/SOTON/D3062
[Dataset]
Abstract
Dataset supporting University of Southampton Doctoral Thesis 'Displacement detection in silicon nano-optoelectromechanical systems (NOEMS) for the development of artificial intelligence hardware'.
The data is supporting Chapter 3 of the above thesis as well as used in electrical spectral analysis of thermomechanical noise and in conference presentation/paper 'Spectral characterisation and tuning effect of picometre-scale thermomechanical motion for silicon NEMS resonators' (September 2021).
Data contains folders with LVM files which were downloaded from the control PC (generated by LabVIEW) and TRC files downloaded directly from the electronic spectrum analyser, produced by NEMS device actuation and thermomechanical noise probing (including via optical interferometry, as in the folders containing photodetector outputs '\ThermomechanicalElectrical_FreeSpaceOptical\W2D12_RNEM29_SA_Opt_2021_08_06\W2DA_RNEM29\PDoutput' and '\ThermomechanicalElectrical_FreeSpaceOptical\W2DA_RNEM24\pd_output') respectively.
Process details (prober laser optical power, applied electrical gate voltages and signal powers, device designations, spectral analysis stage conditions such as attenuation) are included in file/folder names.
Spectral analyser settings and the spreadsheet (ODS and XLSX) files are also included.
Archive
ThermomechanicalElectrical_FreeSpaceOptical.zip
- Dataset
Restricted to System admin until 31 December 2024.
Text
D3062-README.txt
- Text
Restricted to System admin until 31 December 2024.
More information
Published date: 31 December 2024
Identifiers
Local EPrints ID: 490008
URI: http://eprints.soton.ac.uk/id/eprint/490008
PURE UUID: 2cb51013-53d6-4df0-8a1b-ca463ce3c2fc
Catalogue record
Date deposited: 13 May 2024 16:33
Last modified: 25 Jul 2024 02:09
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