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66 results for “Lithium-ion Batteries”
Lithium-ion battery end-of-life life cycle assessment
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Data from: Electrochemical performance of ZnO-coated Li4Ti5O12 composite electrodes for lithium-ion batteries with the voltage ranging from 3 to 0.01 V
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Nanostructured tin phosphite SnHPO3: A high-capacity anode material for lithium-ion batteries
<p>Figures and data of the article "Nanostructured tin phosphite SnHPO<sub>3</sub>: A high-capacity anode material for lithium-ion batteries" by Wissal Tout<sup>1,2</sup>, Mickael Mateos<sup>1</sup>, Junxian Zhang<sup>1</sup>, M’hamed Oubla<sup>2</sup>, Nicolas Emery<sup>1</sup>, Eric Leroy<sup>1</sup>, Pierre Dubot<sup>1</sup>, Fouzia Cherkaoui El Moursli<sup>2</sup>, Zineb Edfouf<sup>2</sup>, Fermin Cuevas<sup>1</sup></p> <p><em>(1) </em><em>Univ Paris-Est Créteil, CNRS, ICMPE (UMR 7182), 2 rue Henri Dunant, F-94320 Thiais, France</em></p> <p><em>(2) </em><em>MANAPSE, Faculty of Sciences, Mohammed V<sup>th</sup>, University in Rabat, Morocco</em></p> <p> </p> <p><strong>Images</strong> (Figures 2 and 5) are in tif format (<strong>*.tif</strong>). Open with any visualisation image software</p> <p><strong>Graphs </strong>(Figures 1, 2h, 3, 4, 6, 7, 8, 9) in Origin software program (<strong>*.opj</strong>). Their <strong>corresponding data are provided in ASCII files (*.dat) </strong> that can be opened with any text-reading software</p> <p> </p> <p> </p> <p> </p>
An Adaptive Recurrent Neural Network for Remaining Useful Life Prediction of Lithium-ion Batteries
Prognostics is an emerging science of predicting the health condition of a system (or its components) based upon current and previous system states. A reliable predictor is very useful to a wide array of industries to predict the future states of the system such that the maintenance service could be scheduled in advance when needed. In this paper, an adaptive recurrent neural network (ARNN) is proposed for system dynamic state forecasting. The developed ARNN is constructed based on the adaptive/recurrent neural network architecture and the network weights are adaptively optimized using the recursive Levenberg-Marquardt (RLM) method. The effectiveness of the proposed ARNN is demonstrated via an application in remaining useful life prediction of lithium-ion batteries.*
Optimal sizing and lifetime investigation of second life lithium-ion battery for grid-scale stationary application
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A novel methodology to determine the specific heat capacity of lithium-ion batteries
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.