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The electrical resistance of nanoporous gold prepared by dealloying is tuned by charging the surfaces of the porous structure in an electrolyte. Reversible variations in the resistance up to approximately 4% and 43% occur due to charging in the regimes of double layer charging and specific adsorption, respectively. Charging-induced variations in the electron density or of the volume cannot account for the resistance variation, indicating that this variation is primarily caused by charge-induced modifications of the charge carrier scattering at the solid-electrolyte interface. The relative resistance variation in nanoporous Au with surface charging is found to be much higher than reported for porous nanocrystalline Pt. This is due to the lesser resistance contribution from internal grain boundaries. The resistance variation in nanoporous Au is also higher than that found in thin films owing to the stronger surface scattering in the ligament structure compared to plan surfaces. We argue that the strong resistance variation in up to 43% in the regime of specific adsorption is due to the reversible formation of a chemisorbed surface layer acting as scattering centers for the charge carriers.

Magnetic properties of 6 nm maghemite nanoparticles (prepared by microwave plasma synthesis) have been studied by ac and dc magnetic measurements. Structural characterization includes x-ray diffraction and transmission electron microscopy. The temperature scans of zero field cooled/field cooled (ZFC/FC) magnetization measurements show a maximum at 75 K. The ZFC/FC data are fitted to the Brown-Néel relaxation model using uniaxial anisotropy and a log-normal size-distribution function to figure out the effective anisotropy constant K eff . K eff turns out to be larger than the anisotropy constant of bulk maghemite. Fitting of the ac susceptibility to an activated relaxation process according to the Arrhenius law provides unphysical values of the spin-flip time and activation energy. A power-law scaling shows a satisfactory fit to the ac susceptibility data and the dynamic critical exponent (zv % 10) takes value between 4 and 12 which is typical for the spin-glass systems. The temperature dependence of coercivity and exchange bias shows a sharp increase toward low temperatures which is due to enhanced surface anisotropy. The source of this enhanced magnetic anisotropy comes from the disordered surface spins which get frozen at low temperatures. Memory effects and thermoremanent magnetization experiments also support the existence of spin-glass behaviour. All these magnetic measurements signify either magnetic blocking or surface spin-glass freezing at high and low temperatures, respectively. V C 2012 American Institute of Physics. [http://dx.

The long-term performance of commercial lithium-ion batteries used in today's electric vehicles is of utmost importance for automotive requirements. Here, we use Tesla's 18650 cells manufactured by Panasonic to elucidate the origins of capacity fading and impedance increase during both calendar and cycle aging. Full cell testing is systematically carried out at three different temperatures (25 • C, 40 • C, 60 • C). The cells are galvanostatically cycled at different C-rates (0.33 C -1 C) and calendar aging is monitored at 4 different state-of-charges (SOC). Operation at high temperatures turns out to have the largest effect on both the capacity and direct current (DC) impedance. As an example, after 500 cycles at 25 • C and 40 • C capacity fading is approximately 12%, while at 60 • C the fading reaches 22%. Our DC impedance measurements reveal the same trend. Post mortem analysis indicate that aging is strongly related to changes of the solid electrolyte interphase (SEI). Hence, the changes in performance are correlated with the change in composition (and thickness) of the SEI formed. In particular, we quantitatively measure the formation of electrically insulating LiF and find a correlation between overall DC impedance of the cells and lithium fluoride of the SEI. For years to come, Li-ion batteries are considered as one of the most attractive energy storage devices for electric vehicles. They benefit from a high specific energy density combined with a good cycle life. In order to further enhance conventional lithium-ion technology it is necessary to develop new materials and to improve existing battery concepts including, e.g., also the ways how cells are fabricated on an industrial scale. In particular, the latter includes aging studies on commercially available batteries. Such studies are essential for predicting the practical lifetime of the batteries and for assisting in identifying the main failure mechanisms that may, for example, involve lithium plating, passivating surface films properties, co-intercalation, dissolution or electrochemical re-plating of metal ions.In particular, for automotive applications, where long cycle and calendar life is indispensable, accurate knowledge about the origins of battery aging is a major point of interest since it helps predict the operational lifetime of the systems. Understanding and identifying the main failure mechanisms, induced by certain operating conditions, would be a significant step forward in terms of reliability and lifetime costs of electric vehicles. Due to the fact that battery aging is a very complex matter, which is sensitively influenced by many factors such as temperature, storage and operating conditions as well as the types of active materials or electrolytes used, the variety of studies that focused on different aging phenomena is immense. Studies range from detailed material and component tests, e.g., on electrolytes, anodes and cathodes used, to investigations on fully commercial systems. As early as 1979 Peled 1,2 introduced the idea of the f...

Aiming at a voltage‐control of magnetism, the magnetization of a porous γ‐Fe2O3–Pt nanocomposite is studied under the influence of charging the surfaces of the porous structure in an electrolyte. Reversible variations of the magnetization of up to 10.4% could be achieved upon charging in the regime where electrochemical adsorption and desorption occurs. The observed variation of the magnetization with electrochemical charging is assigned to the γ‐Fe2O3 nanoparticles whereas the conductive network of Pt nanoparticles is necessary for charging. (© 2011 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)