2018
DOI: 10.1038/s41598-018-32856-7
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Defects, Dopants and Sodium Mobility in Na2MnSiO4

Abstract: Sodium manganese orthosilicate, Na2MnSiO4, is a promising positive electrode material in rechargeable sodium ion batteries. Atomistic scale simulations are used to study the defects, doping behaviour and sodium migration paths in Na2MnSiO4. The most favourable intrinsic defect type is the cation anti-site (0.44 eV/defect), in which, Na and Mn exchange their positions. The second most favourable defect energy process is found to be the Na Frenkel (1.60 eV/defect) indicating that Na diffusion is assisted by the … Show more

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Cited by 35 publications
(32 citation statements)
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References 45 publications
(37 reference statements)
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“…The exoergic binding energy suggests that isolated defects have the tendency to form clusters without energy cost. This defect has been observed in a variety of Li, Na and Mg ion battery materials either experimentally or theoretically [4,19,[36][37][38][50][51][52]. Experimental studies show that this defect is mainly due to synthesis conditions and cycling of the as-prepared material.…”
Section: Intrinsic Defect Processesmentioning
confidence: 93%
“…The exoergic binding energy suggests that isolated defects have the tendency to form clusters without energy cost. This defect has been observed in a variety of Li, Na and Mg ion battery materials either experimentally or theoretically [4,19,[36][37][38][50][51][52]. Experimental studies show that this defect is mainly due to synthesis conditions and cycling of the as-prepared material.…”
Section: Intrinsic Defect Processesmentioning
confidence: 93%
“…Establishing ionic transport pathways by experiments is generally difficult. The current methodology has been utilized successfully to study the ionic transport in a variety of ionic oxide materials [22][23][24][25][26][27][28][29]. Vacancy-assisted migration paths were considered for Fe 2+ ions as their Frenkel is the lowest energy process among other Frenkels.…”
Section: Self-diffusion Of Ironmentioning
confidence: 99%
“…To the best of our knowledge, no theoretical work has been reported on the defects, diffusion, and dopants in ilmenite. In previous studies [22][23][24][25][26][27][28][29], defects have been modeled in a variety of ionic oxide materials using different simulation methods. This work uses classical simulation techniques to examine the energetics of intrinsic defects; Fe-ion diffusion; and solutions of RO (R = Ni, Zn, Co, Mn, Ca, Sr, and Ba), R 2 O 3 (R = Al, Mn, Ga, Sc, In, Yb, Y, Gd, and La), and RO 2 (R = Si, Ge, Sn, Zr, and Ce) in…”
Section: Introductionmentioning
confidence: 99%
“…To optimize the performance of Li ion batteries, a more detailed fundamental understanding of existing materials is necessary. Computational modelling techniques have significantly contributed to the characterization of experimental structures, prediction of pathways of migrating ions and identification of promising dopants in a variety of oxide materials [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36]. In the present study, we examine the intrinsic defects process, Li ion diffusion paths and the effect of dopants on the Mn site in Li 2 MnO 3 .…”
Section: Introductionmentioning
confidence: 98%