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Computational Studies of Electrode Materials in Sodium‐Ion Batteries
Author(s) -
Bai Qiang,
Yang Lufeng,
Chen Hailong,
Mo Yifei
Publication year - 2018
Publication title -
advanced energy materials
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 10.08
H-Index - 220
eISSN - 1614-6840
pISSN - 1614-6832
DOI - 10.1002/aenm.201702998
Subject(s) - anode , materials science , electrolyte , electrochemistry , cathode , battery (electricity) , sodium ion battery , energy storage , electrode , lithium (medication) , ion , organic radical battery , nanotechnology , sodium , nanoarchitectures for lithium ion batteries , electrical engineering , chemistry , metallurgy , engineering , thermodynamics , medicine , power (physics) , physics , organic chemistry , faraday efficiency , endocrinology
Sodium‐ion batteries have attracted extensive interest as a promising solution for large‐scale electrochemical energy storage, owing to their low cost, materials abundance, good reversibility, and decent energy density. For sodium‐ion batteries to achieve comparable performance to current lithium‐ion batteries, significant improvements are still required in cathode, anode, and electrolyte materials. Understanding the functioning and degradation mechanisms of the materials is essential. Computational techniques have been widely applied in tandem with experimental investigations to provide crucial fundamental insights into electrode materials and to facilitate the development of materials for sodium‐ion batteries. Herein, the authors review computational studies on electrode materials in sodium‐ion batteries. The authors summarize the current state‐of‐the‐art computational techniques and their applications in investigating the structure, ordering, diffusion, and phase transformation in cathode and anode materials for sodium‐ion batteries. The unique capability and the obtained knowledge of computational studies as well as the perspectives for sodium‐ion battery materials are discussed in this review.