2017
DOI: 10.1098/rsos.170824
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Lattice-geometry effects in garnet solid electrolytes: a lattice-gas Monte Carlo simulation study

Abstract: Ionic transport in solid electrolytes can often be approximated as ions performing a sequence of hops between distinct lattice sites. If these hops are uncorrelated, quantitative relationships can be derived that connect microscopic hopping rates to macroscopic transport coefficients; i.e. tracer diffusion coefficients and ionic conductivities. In real materials, hops are uncorrelated only in the dilute limit. At non-dilute concentrations, the relationships between hopping frequency, diffusion coefficient and … Show more

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Cited by 58 publications
(87 citation statements)
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References 99 publications
(282 reference statements)
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“…From what we have discussed so far we can conclude that, althoughHR<1 has been correctly used as a figure of merit to establish the presence of correlated ion transport in solid electrolytes, it provides minimal insight on the origin of these correlation effects. Indeed, for all the conditions simulated in the cubic garnet structure, the Haven ratio decreases monotonically as a function of lithium content, mimicking what one observes for the correlation factorf in the simple hard‐core interactions scenario . For a fundamental understanding of the ionic transport, the correlation factorf and the collective correlation factorfI are more insightful parameters as they are both strongly influenced by ion‐ion and ion‐lattice effects.…”
Section: Case Studies Relevant For Energy Storage Technologiessupporting
confidence: 71%
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“…From what we have discussed so far we can conclude that, althoughHR<1 has been correctly used as a figure of merit to establish the presence of correlated ion transport in solid electrolytes, it provides minimal insight on the origin of these correlation effects. Indeed, for all the conditions simulated in the cubic garnet structure, the Haven ratio decreases monotonically as a function of lithium content, mimicking what one observes for the correlation factorf in the simple hard‐core interactions scenario . For a fundamental understanding of the ionic transport, the correlation factorf and the collective correlation factorfI are more insightful parameters as they are both strongly influenced by ion‐ion and ion‐lattice effects.…”
Section: Case Studies Relevant For Energy Storage Technologiessupporting
confidence: 71%
“…In the case of unequal site energies and hard‐core interactions combined (Figure c), the lithium ions preferentially fill the tetrahedral sites first. This is due to the fact that in the cubic garnet structure, the tetrahedral site is always lower in energy than the octahedral one . Similar to the nearest‐neighbor case, bothf andfI exhibit minima, here however, at a lithium content of x Li =3 when all Td sites are occupied.…”
Section: Case Studies Relevant For Energy Storage Technologiesmentioning
confidence: 94%
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