2017
DOI: 10.1111/jace.15173
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Thermal regimes of Li‐ion conductivity in β‐eucryptite

Abstract: While it is well-established that ionic conduction in lithium aluminosilicates proceeds via hopping of Li ions, the nature of the various hoping-based mechanisms in different temperature regimes has not been fully elucidated. The difficulties associated with investigating the conduction have to do with the presence of grains and grain boundaries of different orientations in these usually polycrystalline materials. Herein, we use electrochemical impedance spectroscopy (EIS) to investigate the ion conduction mec… Show more

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Cited by 14 publications
(14 citation statements)
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“…12 the Li-ion densities sampled during the dynamics. The unidimensional channels of ionic diffusion are compatible with published results [71,73]. The diffusion coefficient is hard to converge for the short dynamics we obtained for this system, and so quantifying the diffusion coefficient and its error cannot be done rigorously.…”
Section: B Analysis Of Lialsio4supporting
confidence: 85%
See 1 more Smart Citation
“…12 the Li-ion densities sampled during the dynamics. The unidimensional channels of ionic diffusion are compatible with published results [71,73]. The diffusion coefficient is hard to converge for the short dynamics we obtained for this system, and so quantifying the diffusion coefficient and its error cannot be done rigorously.…”
Section: B Analysis Of Lialsio4supporting
confidence: 85%
“…The structure of the β-eucryptite LiAlSiO 4 [66], referred to as LASO hereafter, is taken from COD [67] entry 9000368. It has been studied for its anisotropic expansion coefficient [68,69] and its ionic conductivity [70][71][72][73]. The structure can be described as an ordered β-quartz solid solution, with alternating aluminum and silicon planes.…”
Section: B Analysis Of Lialsio4mentioning
confidence: 99%
“…Its generality, i.e., being applicable to a diverse range of materials (metals, ceramics, amorphous glasses, polymers, or biomolecules), along with its versatility, i.e, the ability to capture thermodynamic, mechanical, electrical and chemical behavior of materials, make it a pervasive and vital theoretical tool, as highlighted in Figure 1a. Increasingly, empirical findings are supported with analogous MD simulations to explain materials behavior at the electronic, atomistic or molecular level [12,13]. Beyond its scientific merit, the popularity of MD simulations is fueled by the advancements in the computational power, and the availability of efficient software packages (VASP [14], LAMMPS [15], ASE [16], NAMD [17], CHARMM [18], GROMACS [19], etc.)…”
Section: Introductionmentioning
confidence: 99%
“…More importantly, while there has been a significant amount of computational effort, most have primarily involved the use of first-principles calculations based on DFT. Dynamical studies that aim at understanding the structural and phase transformation upon application of external stimuli (such as mechanical, thermal, , etc.) over time (picoseconds to microseconds) and length scales (≫tens of nanometers) are of significant importance.…”
mentioning
confidence: 99%