| Title: |
Activated and carbonized metal-organic frameworks for improved cycle performance of cathode material in lithium-sulphur batteries |
| Authors: |
Capkova, D; Almasi, M; Macko, J; Kiraly, N; Cech, O; Cudek, P; Fedorkova, A Strakova; Knap, V; Kazda, T |
| Source: |
Journal of Physics: Conference Series ; volume 2382, issue 1, page 012010 ; ISSN 1742-6588 1742-6596 |
| Publisher Information: |
IOP Publishing |
| Publication Year: |
2022 |
| Description: |
The development of new battery systems has been intensively pursued in an effort to increase energy densities. Lithium-sulphur batteries represent a group of next-generation batteries with high theoretical capacity and energy density. The electrochemical properties of lithium-sulphur batteries may be improved by the application of appropriate conductive and porous additives to sulphur in the cathode material. Recently, materials belonging to the group of metal-organic frameworks (MOFs) have been widely investigated as host materials for sulphur thanks to their unique porous structure. In this work, various types of MOFs (GaTCPP, MOF-76(Gd), MIL-101(Fe)-NH 2 ) were applied to the cathode material. MOFs were activated or carbonized before cathode material preparation. The structure of activated GaTCPP showed the lowest capacity fading per cycle (0.07 %) from activated MOFs during cycling at 0.5 C for 200 cycles. The carbonization process may improve the electrochemical properties of the electrode material. The best electrochemical properties showed carbonized MOF-76(Gd), and the capacity fading rate per cycle was only 0.04 % despite 200 cycles at 0.5 C. |
| Document Type: |
article in journal/newspaper |
| Language: |
unknown |
| DOI: |
10.1088/1742-6596/2382/1/012010 |
| DOI: |
10.1088/1742-6596/2382/1/012010/pdf |
| Availability: |
https://doi.org/10.1088/1742-6596/2382/1/012010; https://iopscience.iop.org/article/10.1088/1742-6596/2382/1/012010; https://iopscience.iop.org/article/10.1088/1742-6596/2382/1/012010/pdf |
| Rights: |
http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining |
| Accession Number: |
edsbas.22785074 |
| Database: |
BASE |