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Dataset in support of the Southampton doctoral thesis 'Thin film thermoelectric materials and generators deposited by chemical vapour processes'

Dataset in support of the Southampton doctoral thesis 'Thin film thermoelectric materials and generators deposited by chemical vapour processes'
Dataset in support of the Southampton doctoral thesis 'Thin film thermoelectric materials and generators deposited by chemical vapour processes'
This dataset includes various data relating to the characterisation of various deposited thermoelectric thin films (i.e. GeTe, WS2xSe2-2x, and AZO). Thin films were characterised by SEM, EDX, XRD, XPS, Raman, AFM, Hall and Seebeck measurements. Further details of the dataset can be found in the README files attached.
University of Southampton
Sethi, Vikesh
e0c3adf8-b928-46c4-b59f-4428cafe7774
Robinson, Fred
8fc7b408-097f-4550-b189-5b6e3a49bf93
Greenacre, Victoria
c665a38b-0b1a-4671-ac75-bf0679dd1c57
Runacres, Danielle
aae55f94-b99a-4e9f-9d1b-8bcd3f2a93b6
Zhang, Tongjun
4a460cd9-f2c8-41db-8008-1cda74895b24
Newbrook, Daniel
8eb26553-e1e2-492d-ad78-ce51a487f31f
Sethi, Vikesh
e0c3adf8-b928-46c4-b59f-4428cafe7774
Robinson, Fred
8fc7b408-097f-4550-b189-5b6e3a49bf93
Greenacre, Victoria
c665a38b-0b1a-4671-ac75-bf0679dd1c57
Runacres, Danielle
aae55f94-b99a-4e9f-9d1b-8bcd3f2a93b6
Zhang, Tongjun
4a460cd9-f2c8-41db-8008-1cda74895b24
Newbrook, Daniel
8eb26553-e1e2-492d-ad78-ce51a487f31f

Sethi, Vikesh (2023) Dataset in support of the Southampton doctoral thesis 'Thin film thermoelectric materials and generators deposited by chemical vapour processes'. University of Southampton doi:10.5258/SOTON/D2713 [Dataset]

Record type: Dataset

Abstract

This dataset includes various data relating to the characterisation of various deposited thermoelectric thin films (i.e. GeTe, WS2xSe2-2x, and AZO). Thin films were characterised by SEM, EDX, XRD, XPS, Raman, AFM, Hall and Seebeck measurements. Further details of the dataset can be found in the README files attached.

Spreadsheet
Thesis_Raw_data.xlsx - Dataset
Available under License Creative Commons Attribution.
Download (411kB)
Text
Thesis_DataSet_ReadMe.txt - Dataset
Available under License Creative Commons Attribution.
Download (5kB)

More information

Published date: 13 July 2023
Related URLs:
Learn more about School of Electronics and Computer Science research Learn more about School of Chemistry research Learn more about Sustainable Electronic Technologies research

Identifiers

Local EPrints ID: 478960
URI: http://eprints.soton.ac.uk/id/eprint/478960
DOI: doi:10.5258/SOTON/D2713
PURE UUID: 46447a6e-2736-43e7-a966-2ad3d1aa09d2
ORCID for Vikesh Sethi: ORCID iD orcid.org/0009-0002-2711-1889
ORCID for Victoria Greenacre: ORCID iD orcid.org/0000-0002-3381-9616
ORCID for Danielle Runacres: ORCID iD orcid.org/0000-0002-2446-1763
ORCID for Daniel Newbrook: ORCID iD orcid.org/0000-0002-5047-6168

Catalogue record

Date deposited: 17 Jul 2023 16:31
Last modified: 05 Aug 2023 01:55

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Contributors

Creator: Vikesh Sethi ORCID iD
Contributor: Fred Robinson
Contributor: Victoria Greenacre ORCID iD
Contributor: Danielle Runacres ORCID iD
Contributor: Tongjun Zhang
Contributor: Daniel Newbrook ORCID iD

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