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High‐Entropy Energy Materials in the Age of Big Data: A Critical Guide to Next‐Generation Synthesis and Applications

Wang, Qingsong; Velasco, Leonardo; Breitung, Ben ORCID iD icon; Presser, Volker

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. ... mehr


Verlagsausgabe §
DOI: 10.5445/IR/1000141556
Originalveröffentlichung
DOI: 10.1002/aenm.202102355
Scopus
Zitationen: 38
Web of Science
Zitationen: 36
Dimensions
Zitationen: 38
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Nanotechnologie (INT)
Publikationstyp Zeitschriftenaufsatz
Publikationsmonat/-jahr 12.2021
Sprache Englisch
Identifikator ISSN: 1614-6832, 1614-6840
KITopen-ID: 1000141556
HGF-Programm 43.31.02 (POF IV, LK 01) Devices and Applications
Weitere HGF-Programme 38.02.01 (POF IV, LK 02) Fundamentals and Materials
Erschienen in Advanced energy materials
Verlag Wiley-VCH Verlag
Band 11
Heft 47
Seiten Art. Nr.: 2102355
Vorab online veröffentlicht am 31.10.2021
Nachgewiesen in Web of Science
Dimensions
Scopus
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