Ionic Conductive Glasses

Ravaine, D.; Souquet, J.L.

doi:10.1016/b978-0-12-313360-1.50022-5

Cited by 75 publications

(94 citation statements)

References 16 publications

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“…For the Cole-Cole case (β = 1), this equation was already considered earlier [47][48][49][50]. A generalized Havriliak-Negami version as in eq.…”

Section: Equivalent-circuit Models For Electrode Polarizationmentioning

confidence: 99%

“…However, in our experience both approaches have certain drawbacks when analyzing broadband dielectric spectra, where contributions from EP are observed over several frequency decades. Instead we found that a distributed RC equivalent circuit (referred to as DRC circuit henceforth), based on a ColeCole (CC) distribution of relaxation times [21,[47][48][49][50], is best suited to describe EP. This is true for such different materials as aqueous solutions, biological systems, solidstate electrolytes, ionic liquids and melts, and all kinds of electronic conductors.…”

Section: Introductionmentioning

confidence: 99%

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Electrode polarization effects in broadband dielectric spectroscopy

et al. 2011

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In the present work, we provide broadband dielectric spectra showing strong electrode polarization effects for various materials, belonging to very different material classes. This includes both ionic and electronic conductors as, e.g., salt solutions, ionic liquids, human blood, and colossal-dielectricconstant materials. These data are intended to provide a broad data base enabling a critical test of the validity of phenomenological and microscopic models for electrode polarization. In the present work, the results are analyzed using a simple phenomenological equivalent-circuit description, involving a distributed parallel RC circuit element for the modeling of the weakly conducting regions close to the electrodes. Excellent fits of the experimental data are achieved in this way, demonstrating the universal applicability of this approach. In the investigated ionically conducting materials, we find the universal appearance of a second dispersion region due to electrode polarization, which is only revealed if measuring down to sufficiently low frequencies. This indicates the presence of a second charge-transport process in ionic conductors with blocking electrodes.

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“…For the Cole-Cole case (β = 1), this equation was already considered earlier [47][48][49][50]. A generalized Havriliak-Negami version as in eq.…”

Section: Equivalent-circuit Models For Electrode Polarizationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Electrode polarization effects in broadband dielectric spectroscopy

et al. 2011

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“…22 The "weak electrolyte" models conclude that Li may reside in the two types of states in the glass matrix and assume that the ionic conduction process is dominated by the ions, thermally populating the higher energy ͑mobile͒ sites. [23][24][25] The chemical reaction of the ionization reaction describes the transfer process of immobile, oxygen-binded lithium ͑indicated by Li 0 ͒ to mobile Li + ions leaving uncompensated negative charges ͑n − ͒ behind, which are chemically associated with the closest nBO's. 22 In Eq.…”

Section: ͓6͔mentioning

confidence: 99%

Modeling All-Solid-State Li-Ion Batteries

Danilov

Niessen

Notten

2011

J. Electrochem. Soc.

178

166

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A mathematical model for all-solid-state Li-ion batteries is presented. The model includes the charge transfer kinetics at the electrode/electrolyte interface, diffusion of lithium in the intercalation electrode, and diffusion and migration of ions in the electrolyte. The model has been applied to the experimental data taken from a 10μAh planar thin-film all-solid-state Li-ion battery, produced by radio frequency magnetron sputtering. This battery consists of a 320nm thick polycrystalline LiConormalO2 cathode and a metallic Li anode separated by 1.5μm normalLi3PnormalO4 solid-state electrolyte. Such thin-film batteries are nowadays often employed as power sources for various types of autonomous devices, including wireless sensor nodes and medical implants. Mathematical modeling is an important tool to describe the performance of these batteries in these applications. The model predictions agree well with the galvanostatically measured voltage profiles. The simulations show that the transport limitations in the solid-state electrolyte are considerable and amounts to at least half of the total overpotential. This contribution becomes even larger when the current density reaches 0.5mAcm−2 or higher. It is concluded from the simulations that significant concentration gradients develop in both the positive electrode and the solid-state electrolyte during a high current (dis)charge.

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“…For comparison, Wereszczak et al report recession of only 6 mm in 10 years of exposure at 1600 "C in a soda-lime-silica float-glass furnace and 13 mm recession in 6.5 years at 1600 "C in a TV-panel glass furnace. 25 Thus, we take 2.5 mdyear (-25 m d l O years) as a typical air-fuel recession rate corresponding to the top of the gray box in Figure 4-4. Faber and Verheijen report considerably greater recession rates, ranging from 5-10 mm year at 1530-1580 "C, but the larger value is for a brick located over the batch area where NaOH(g) concentrations are expected to be greatest, probably greater than 75 ppm."…”

Section: Vapor Phase Transport Of Naoh(g) To Crown Surfacementioning

confidence: 99%