Literature DB >> 31404814

Combining density functional theory and 23Na NMR to characterize Na2FePO4F as a potential sodium ion battery cathode.

Danielle L Smiley1, Dany Carlier2, Gillian R Goward3.   

Abstract

Sodium ion batteries offer an inexpensive alternative to lithium ion batteries, particularly for large-scale applications such as grid storage that do not require fast charging rates and high power output. Moreover, the use of polyanionic structures as cathode materials afford incredibly high structural stability relative to layered transition metal oxides that can undergo a structural collapse upon full removal of the charge carrying ions. Sodium iron fluorophosphate, Na2FePO4F, has demonstrated its viability as a potential cathode material for sodium ion batteries, having a robust framework even after multiple charge-discharge cycles. Although solid-state NMR has traditionally been an excellent method for the determination of local structure and dynamic properties of cathode materials during the electrochemical cycling process, reliable assignment of the 23Na chemical shifts resulting from the paramagnetic hyperfine interaction can be difficult when using only empirical rules. Here we present the use of density functional theory calculations to assign the experimentally observed NMR shifts to the crystallographic sites in Na2FePO4F, where it is found that the results do not agree with the previously reported assignment based upon simple geometry arguments. Furthermore, we report the justification of the proposed desodiation mechanism in Na2FePO4F on the basis of theoretical arguments, in good agreement with experimental NMR results reported previously.
Copyright © 2019. Published by Elsevier Inc.

Entities:  

Year:  2019        PMID: 31404814     DOI: 10.1016/j.ssnmr.2019.07.001

Source DB:  PubMed          Journal:  Solid State Nucl Magn Reson        ISSN: 0926-2040            Impact factor:   2.293


  2 in total

1.  Selective, High-Temperature O2 Adsorption in Chemically Reduced, Redox-Active Iron-Pyrazolate Metal-Organic Frameworks.

Authors:  Adam Jaffe; Michael E Ziebel; David M Halat; Naomi Biggins; Ryan A Murphy; Khetpakorn Chakarawet; Jeffrey A Reimer; Jeffrey R Long
Journal:  J Am Chem Soc       Date:  2020-08-11       Impact factor: 15.419

2.  A machine learning protocol for revealing ion transport mechanisms from dynamic NMR shifts in paramagnetic battery materials.

Authors:  Min Lin; Jingfang Xiong; Mintao Su; Feng Wang; Xiangsi Liu; Yifan Hou; Riqiang Fu; Yong Yang; Jun Cheng
Journal:  Chem Sci       Date:  2022-06-13       Impact factor: 9.969

  2 in total

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