Title data
Wang, Qingsong ; Velasco, Leonardo ; Breitung, Ben ; Presser, Volker:
High-Entropy Energy Materials in the Age of Big Data : A Critical Guide to Next-Generation Synthesis and Applications.
In: Advanced Energy Materials.
Vol. 11
(2021)
Issue 47
.
- No. 2102355.
ISSN 1614-6840
DOI: https://doi.org/10.1002/aenm.202102355
Project information
Project title: |
Project's official title Project's id Nachwuchsgruppe Lehrstuhl für Anorganische Aktivmaterialien electrochemischer Speicher Dr. Qingsong Wang No information |
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Abstract in another language
Abstract High-entropy materials (HEMs) with promising energy storage and conversion properties have recently attracted worldwide increasing research interest. Nevertheless, most research on the synthesis of HEMs focuses on a “trial and error” method without any guidance, which is very laborious and time-consuming. This review aims to provide an instructive approach to searching and developing new high-entropy energy materials in a much more efficient way. Toward materials design for future technologies, a fundamental understanding of the process/structure/property/performance linkage on an atomistic level will promote prescreening and selection of material candidates. With the help of computational material science, in which the fast development of computational capabilities that have a rapidly growing impact on new materials design, this fundamental understanding can be approached. Furthermore, high-throughput experimental methods, enabled by the advances in instrumentation and electronics, will accelerate the production of large quantities of results and stimulate the identification of the target products, adding knowledge in computational design. This review shows that combining computational preselection and verification by high-throughput can be an efficient approach to unveil the complexities of HEMs and design novel HEMs with enhanced properties for energy-related applications.
Further data
Item Type: | Article in a journal |
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Refereed: | Yes |
Keywords: | computational design; high-entropy materials; high-throughput; trial and error |
Institutions of the University: | Faculties > Faculty of Biology, Chemistry and Earth Sciences Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Chemistry > Lehrstuhl Anorganische Aktivmaterialien für elektrochemische Energiespeicher Research Institutions > Research Centres > Bayerisches Zentrum für Batterietechnik - BayBatt Faculties Research Institutions Research Institutions > Research Centres |
Result of work at the UBT: | No |
DDC Subjects: | 500 Science 500 Science > 540 Chemistry 600 Technology, medicine, applied sciences > 620 Engineering |
Date Deposited: | 02 Nov 2022 09:25 |
Last Modified: | 02 Nov 2022 09:25 |
URI: | https://eref.uni-bayreuth.de/id/eprint/72593 |