Dataset for "A Highly Sensitive Electrochemical Sensor of Polysulfides in Polymer Lithium-Sulfur Batteries"
Dataset for "A Highly Sensitive Electrochemical Sensor of Polysulfides in Polymer Lithium-Sulfur Batteries"
Data to support Medding, N. Jubez, X., Li, C. and Garcia-Araez, N. (2020) A Highly Sensitive Electrochemical Sensor of Polysulfides in Polymer Lithium-Sulfur Batteries. Journal of the Electrochemical Society v.167(8), 080520, https://doi.org/10.1149/1945-7111/ab8ce9
University of Southampton
Garcia-Araez, Nuria
9358a0f9-309c-495e-b6bf-da985ad81c37
Meddings, Nina
3018b390-3284-4da0-a9c6-4be738803717
Judez, Xabier
61382e4c-0405-4703-93c3-db351760ba43
Li, Chunmei
b58e5015-5de1-43cd-af4b-4ad2bd30e489
Garcia-Araez, Nuria
9358a0f9-309c-495e-b6bf-da985ad81c37
Meddings, Nina
3018b390-3284-4da0-a9c6-4be738803717
Judez, Xabier
61382e4c-0405-4703-93c3-db351760ba43
Li, Chunmei
b58e5015-5de1-43cd-af4b-4ad2bd30e489
Garcia-Araez, Nuria, Meddings, Nina, Judez, Xabier and Li, Chunmei
(2020)
Dataset for "A Highly Sensitive Electrochemical Sensor of Polysulfides in Polymer Lithium-Sulfur Batteries".
University of Southampton
doi:10.5258/SOTON/D1327
[Dataset]
Abstract
Data to support Medding, N. Jubez, X., Li, C. and Garcia-Araez, N. (2020) A Highly Sensitive Electrochemical Sensor of Polysulfides in Polymer Lithium-Sulfur Batteries. Journal of the Electrochemical Society v.167(8), 080520, https://doi.org/10.1149/1945-7111/ab8ce9
Text
readme.txt
- Dataset
Spreadsheet
Data_for_Sensor_polymer_Li_S.xlsx
- Dataset
More information
Published date: 2020
Identifiers
Local EPrints ID: 440905
URI: http://eprints.soton.ac.uk/id/eprint/440905
PURE UUID: d7c3ef3f-1690-4fcc-bb83-dc041018726e
Catalogue record
Date deposited: 22 May 2020 16:37
Last modified: 06 May 2023 01:48
Export record
Altmetrics
Contributors
Creator:
Nina Meddings
Creator:
Xabier Judez
Creator:
Chunmei Li
Download statistics
Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.
View more statistics