Dataset supporting the paper "Self-standing TiC-modified Carbon Fibre Electrodes Derived from Cellulose and Their Use as an Ultrahigh Efficiency Lithium Metal Anode"
Dataset supporting the paper "Self-standing TiC-modified Carbon Fibre Electrodes Derived from Cellulose and Their Use as an Ultrahigh Efficiency Lithium Metal Anode"
This dataset is supporting the paper "Self-standing TiC-modified Carbon Fibre Electrodes Derived from Cellulose and Their Use as an Ultrahigh Efficiency Lithium Metal Anode", published in Journal of Materials Chemistry A, https://doi.org/10.1039/D3TA01707A
All numerical data for figures are supplied in text format to support the figures in the article.
This project was funded by EPSRC under EP/K00509x/1, EP/K009877/1 and EP/V007629/1, and Nikolay Zhelev helped with SEM training and imaging the morphology of Li dendrites.
University of Southampton
Wang, Junren
78a8d0c3-7442-4d45-a1c3-718a357aa2cb
Zhong, Huimian
145c076e-e6f9-4a73-a545-6440b2eb78f5
Liu, Bowen
432d1550-1946-452b-aa84-2a80963cafbf
Zhang, Min
dfc78617-c6bf-40d9-a643-427ba8f2c24f
Hector, Andrew
f19a8f31-b37f-4474-b32a-b7cf05b9f0e5
Russell, Andrea
b6b7c748-efc1-4d5d-8a7a-8e4b69396169
Wang, Junren
78a8d0c3-7442-4d45-a1c3-718a357aa2cb
Zhong, Huimian
145c076e-e6f9-4a73-a545-6440b2eb78f5
Liu, Bowen
432d1550-1946-452b-aa84-2a80963cafbf
Zhang, Min
dfc78617-c6bf-40d9-a643-427ba8f2c24f
Hector, Andrew
f19a8f31-b37f-4474-b32a-b7cf05b9f0e5
Russell, Andrea
b6b7c748-efc1-4d5d-8a7a-8e4b69396169
Wang, Junren, Zhong, Huimian, Liu, Bowen, Zhang, Min, Hector, Andrew and Russell, Andrea
(2023)
Dataset supporting the paper "Self-standing TiC-modified Carbon Fibre Electrodes Derived from Cellulose and Their Use as an Ultrahigh Efficiency Lithium Metal Anode".
University of Southampton
doi:10.5258/SOTON/D2697
[Dataset]
Abstract
This dataset is supporting the paper "Self-standing TiC-modified Carbon Fibre Electrodes Derived from Cellulose and Their Use as an Ultrahigh Efficiency Lithium Metal Anode", published in Journal of Materials Chemistry A, https://doi.org/10.1039/D3TA01707A
All numerical data for figures are supplied in text format to support the figures in the article.
This project was funded by EPSRC under EP/K00509x/1, EP/K009877/1 and EP/V007629/1, and Nikolay Zhelev helped with SEM training and imaging the morphology of Li dendrites.
Text
D2697_README.txt
- Dataset
Archive
Raw_data.zip
- Dataset
More information
Published date: 28 June 2023
Identifiers
Local EPrints ID: 478381
URI: http://eprints.soton.ac.uk/id/eprint/478381
PURE UUID: d49befb9-2509-48db-8c8a-3fe8a1c27831
Catalogue record
Date deposited: 29 Jun 2023 16:50
Last modified: 20 Jan 2024 03:05
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Contributors
Creator:
Junren Wang
Creator:
Huimian Zhong
Creator:
Bowen Liu
Creator:
Min Zhang
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