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Protonic conduction in BaIn0.5Sn0.5O2.75
Solid State Ionics, 1998Abstract The synthesis and characterization by XRD and TEM of the compound BaIn 0.5 Sn 0.5 O 2.75 (BISO) is described. The water uptake was measured quantitatively as a function of temperature and water vapor pressure. For the standard enthalpy and entropy of solution the following values were obtained Δ H o =(−0.76±0.08) eV, Δ S o =(−1.22±0.13 ...
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Solid State Ionics, 1990
Abstract The nature of proton defects in oxides is described briefly. Literature data for the concentration, diffusivity, and conductivity of protons in oxides are reviewed and discussed.
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Abstract The nature of proton defects in oxides is described briefly. Literature data for the concentration, diffusivity, and conductivity of protons in oxides are reviewed and discussed.
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Proton‐Conducting Magnetic Coordination Polymers
Chemistry – A European Journal, 2015AbstractThree isostructural lanthanide‐based two‐ dimensional coordination polymers (CPs) {[Ln2(L)3(H2O)2]n⋅2n CH3OH)⋅2n H2O} (Ln=Gd3+ (1), Tb3+ (2), Dy3+ (3); H2L=cyclobutane‐1,1‐dicarboxylic acid) were synthesized by using a low molecular weight dicarboxylate ligand and characterized.
Soumava, Biswas +3 more
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Proton Conductivity of Compositionally Graded Proton Conducting Oxides
Materials Science Forum, 2003S. Yamaguchi +4 more
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H/D isotope effect of proton conductivity and proton conduction mechanism in oxides
Solid State Ionics, 1995Abstract The elementary steps of proton conductivity in oxides, proton transfer and hydroxyl ion reorientation, are investigated and the anticipated H D isotope effects of their rates are compared to those of proton (deuteron) conductivity. It is concluded that the rate of proton diffusivity in many oxides is limited by proton transfer between
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Proton Conducting Neuromorphic Materials and Devices
Chemical ReviewsNeuromorphic computing and artificial intelligence hardware generally aims to emulate features found in biological neural circuit components and to enable the development of energy-efficient machines. In the biological brain, ionic currents and temporal concentration gradients control information flow and storage. It is therefore of interest to examine
Yifan Yuan +7 more
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