The Experts below are selected from a list of 1471389 Experts worldwide ranked by ideXlab platform
Gleb Yushin - One of the best experts on this subject based on the ideXlab platform.
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high performance lithium ion anodes using a hierarchical bottom up Approach
Nature Materials, 2010Co-Authors: Alexandre Magasinski, Benjamin Hertzberg, Alexander Kvit, Patrick Dixon, J Ayala, Gleb YushinAbstract:Silicon-based lithium-ion batteries are attractive because in principle they offer higher specific capacities than conventional graphite. A hierarchical Bottom-up Approach is now used to prepare lithium-ion anodes with improved reversible capacities and stable electrochemical performance.
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High-performance lithium-ion anodes using a hierarchical Bottom-up Approach
Nature Materials, 2010Co-Authors: Alexandre Magasinski, Jonathan Ayala, Benjamin Hertzberg, Alexander Kvit, P. Dixon, Gleb YushinAbstract:Si-based Li-ion battery anodes have recently received great attention, as they offer specific capacity an order of magnitude beyond that of conventional graphite. The applications of this transformative technology require synthesis routes capable of producing safe and easy-to-handle anode particles with low volume changes and stable performance during battery operation. Herein, we report a large-scale hierarchical Bottom-up assembly route for the formation of Si on the nanoscale--containing rigid and robust spheres with irregular channels for rapid access of Li ions into the particle bulk. Large Si volume changes on Li insertion and extraction are accommodated by the particle's internal porosity. Reversible capacities over five times higher than that of the state-of-the-art anodes (1,950 mA h g(-1)) and stable performance are attained. The synthesis process is simple, low-cost, safe and broadly applicable, providing new avenues for the rational engineering of electrode materials with enhanced conductivity and power.
Alexandre Magasinski - One of the best experts on this subject based on the ideXlab platform.
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high performance lithium ion anodes using a hierarchical bottom up Approach
Nature Materials, 2010Co-Authors: Alexandre Magasinski, Benjamin Hertzberg, Alexander Kvit, Patrick Dixon, J Ayala, Gleb YushinAbstract:Silicon-based lithium-ion batteries are attractive because in principle they offer higher specific capacities than conventional graphite. A hierarchical Bottom-up Approach is now used to prepare lithium-ion anodes with improved reversible capacities and stable electrochemical performance.
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High-performance lithium-ion anodes using a hierarchical Bottom-up Approach
Nature Materials, 2010Co-Authors: Alexandre Magasinski, Jonathan Ayala, Benjamin Hertzberg, Alexander Kvit, P. Dixon, Gleb YushinAbstract:Si-based Li-ion battery anodes have recently received great attention, as they offer specific capacity an order of magnitude beyond that of conventional graphite. The applications of this transformative technology require synthesis routes capable of producing safe and easy-to-handle anode particles with low volume changes and stable performance during battery operation. Herein, we report a large-scale hierarchical Bottom-up assembly route for the formation of Si on the nanoscale--containing rigid and robust spheres with irregular channels for rapid access of Li ions into the particle bulk. Large Si volume changes on Li insertion and extraction are accommodated by the particle's internal porosity. Reversible capacities over five times higher than that of the state-of-the-art anodes (1,950 mA h g(-1)) and stable performance are attained. The synthesis process is simple, low-cost, safe and broadly applicable, providing new avenues for the rational engineering of electrode materials with enhanced conductivity and power.
Frauke Skudelny - One of the best experts on this subject based on the ideXlab platform.
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early estimates of euro area real gdp growth a bottom up Approach from the production side
Research Papers in Economics, 2008Co-Authors: Elke Hahn, Frauke SkudelnyAbstract:This paper derives forecasts for euro area real GDP growth based on a bottom up Approach from the production side. That is, GDP is forecast via the forecasts of value added across the different branches of activity, which is quite new in the literature. Linear regression models in the form of bridge equations are applied. In these models earlier available monthly indicators are used to bridge the gap of missing GDP data. The process of selecting the best performing equations is accomplished as a pseudo real time forecasting exercise, i.e. due account is taken of the pattern of available monthly variables over the forecast cycle. Moreover, by applying a very systematic procedure the best performing equations are selected from a pool of thousands of test bridge equations. Our modelling Approach, finally, includes a further novelty which should be of particular interest to practitioners. In practice, forecasts for a particular quarter of GDP generally spread over a prolonged period of several months. We explore whether over this forecast cycle, where GDP is repeatedly forecast, the same set of equations or different ones should be used. Changing the set of bridge equations over the forecast cycle could be superior to keeping the same set of equations, as the relative merit of the included monthly indictors may shift over time owing to differences in their data characteristics. Overall, the models derived in this forecast exercise clearly outperform the benchmark models. The variables selected in the best equations for different situations over the forecast cycle vary substantially and the achieved results confirm the conjecture that allowing the variables in the bridge equations to differ over the forecast cycle can lead to substantial improvements in the forecast accuracy. JEL Classification: C22, C52, C53, E27
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early estimates of euro area real gdp growth a bottom up Approach from the production side
Social Science Research Network, 2008Co-Authors: Elke Hahn, Frauke SkudelnyAbstract:This paper derives forecasts for euro area real GDP growth based on a bottom up Approach from the production side. That is, GDP is forecast via the forecasts of value added across the different branches of activity, which is quite new in the literature. Linear regression models in the form of bridge equations are applied. In these models earlier available monthly indicators are used to bridge the gap of missing GDP data. The process of selecting the best performing equations is accomplished as a pseudo real time forecasting exercise, i.e. due account is taken of the pattern of available monthly variables over the forecast cycle. Moreover, by applying a very systematic procedure the best performing equations are selected from a pool of thousands of test bridge equations. Our modelling Approach, finally, includes a further novelty which should be of particular interest to practitioners. In practice, forecasts for a particular quarter of GDP generally spread over a prolonged period of several months. We explore whether over this forecast cycle, where GDP is repeatedly forecast, the same set of equations or different ones should be used. Changing the set of bridge equations over the forecast cycle could be superior to keeping the same set of equations, as the relative merit of the included monthly indictors may shift over time owing to differences in their data characteristics. Overall, the models derived in this forecast exercise clearly outperform the benchmark models. The variables selected in the best equations for different situations over the forecast cycle vary substantially and the achieved results confirm the conjecture that allowing the variables in the bridge equations to differ over the forecast cycle can lead to substantial improvements in the forecast accuracy.
Alexander Kvit - One of the best experts on this subject based on the ideXlab platform.
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high performance lithium ion anodes using a hierarchical bottom up Approach
Nature Materials, 2010Co-Authors: Alexandre Magasinski, Benjamin Hertzberg, Alexander Kvit, Patrick Dixon, J Ayala, Gleb YushinAbstract:Silicon-based lithium-ion batteries are attractive because in principle they offer higher specific capacities than conventional graphite. A hierarchical Bottom-up Approach is now used to prepare lithium-ion anodes with improved reversible capacities and stable electrochemical performance.
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High-performance lithium-ion anodes using a hierarchical Bottom-up Approach
Nature Materials, 2010Co-Authors: Alexandre Magasinski, Jonathan Ayala, Benjamin Hertzberg, Alexander Kvit, P. Dixon, Gleb YushinAbstract:Si-based Li-ion battery anodes have recently received great attention, as they offer specific capacity an order of magnitude beyond that of conventional graphite. The applications of this transformative technology require synthesis routes capable of producing safe and easy-to-handle anode particles with low volume changes and stable performance during battery operation. Herein, we report a large-scale hierarchical Bottom-up assembly route for the formation of Si on the nanoscale--containing rigid and robust spheres with irregular channels for rapid access of Li ions into the particle bulk. Large Si volume changes on Li insertion and extraction are accommodated by the particle's internal porosity. Reversible capacities over five times higher than that of the state-of-the-art anodes (1,950 mA h g(-1)) and stable performance are attained. The synthesis process is simple, low-cost, safe and broadly applicable, providing new avenues for the rational engineering of electrode materials with enhanced conductivity and power.
Benjamin Hertzberg - One of the best experts on this subject based on the ideXlab platform.
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high performance lithium ion anodes using a hierarchical bottom up Approach
Nature Materials, 2010Co-Authors: Alexandre Magasinski, Benjamin Hertzberg, Alexander Kvit, Patrick Dixon, J Ayala, Gleb YushinAbstract:Silicon-based lithium-ion batteries are attractive because in principle they offer higher specific capacities than conventional graphite. A hierarchical Bottom-up Approach is now used to prepare lithium-ion anodes with improved reversible capacities and stable electrochemical performance.
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High-performance lithium-ion anodes using a hierarchical Bottom-up Approach
Nature Materials, 2010Co-Authors: Alexandre Magasinski, Jonathan Ayala, Benjamin Hertzberg, Alexander Kvit, P. Dixon, Gleb YushinAbstract:Si-based Li-ion battery anodes have recently received great attention, as they offer specific capacity an order of magnitude beyond that of conventional graphite. The applications of this transformative technology require synthesis routes capable of producing safe and easy-to-handle anode particles with low volume changes and stable performance during battery operation. Herein, we report a large-scale hierarchical Bottom-up assembly route for the formation of Si on the nanoscale--containing rigid and robust spheres with irregular channels for rapid access of Li ions into the particle bulk. Large Si volume changes on Li insertion and extraction are accommodated by the particle's internal porosity. Reversible capacities over five times higher than that of the state-of-the-art anodes (1,950 mA h g(-1)) and stable performance are attained. The synthesis process is simple, low-cost, safe and broadly applicable, providing new avenues for the rational engineering of electrode materials with enhanced conductivity and power.
