Results 141 to 150 of about 36,481,271 (303)
Advanced Science, EarlyView.Hard carbon derived from templated poly(dicyclopentadiene) as anode for sodium–ion batteries was engineered through carbonization and second‐step CO2${\rm CO}_2$ activation. High‐temperature carbonization and activation increased local ordering while reducing defects without inducing structural fracture.
David Schuster +11 more
wiley +1 more source
A framework for trend mining with application to medical data [PDF]
This thesis presents research work conducted in the field of knowledge discovery. It presents an integrated trend-mining framework and SOMA, which is the application of the trend-mining framework in diabetic retinopathy data.
Somaraki, Vassiliki
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Advanced Science, EarlyView.During kainic acid‐induced epileptogenesis, astrocyte‐associated ATP‐binding cassette transporter A1 (ABCA1) and apolipoprotein E (APOE) responses accompany ectopic neurons and exploratory lipid alterations. In separate cohorts, bexarotene pretreatment and treatment on days 14–21 are associated with fewer ectopic hilar neurons and lower chronic seizure
Lu Chen +10 more
wiley +1 more source
Degradation Mechanism of Phosphate‐Based Li‐NASICON Conductors in Alkaline Environment
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.The presence of water in the cathode of a Li‐air battery shifts reactions to produce LiOH, creating a corrosive, alkaline environment. This study investigates the alkaline stability of the common Li‐NASICON solid‐state conductor chemistries through a systematic experimental study combined with computational modeling to understand the degradation ...
Benjamin X. Lam +3 more
wiley +1 more source
Time series data mining methods
, 2015 Today, real world time series data sets can take a size up to a trillion observations and even more. Data miners’ task is it to detect new information that is hidden in this massive amount of data. While well known techniques for data mining in cross sections have been developed, time series data mining methods are not as sophisticated and established ...
openaire +1 more source
A Study on Time Series Dimensionality Reduction for Data Mining
, 2018 International audienceTime series are often defined as sets of sequentially-measured numerical values. With the development of sensors to measure various temporal indicators, time series have become more and more common.
Lejeune, Clément +5 more
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Comparative Insights and Overlooked Factors of Interphase Chemistry in Alkali Metal‐Ion Batteries
Advanced Energy Materials, EarlyView.This review presents a comparative analysis of Li‐, Na‐, and K‐ion batteries, focusing on the critical role of electrode–electrolyte interphases. It especially highlights overlooked aspects such as SEI/CEI misconceptions, binder effects, and self‐discharge relevance, emphasizing the limitations of current understanding and offering strategies for ...
Changhee Lee +3 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi +6 more
wiley +1 more source
Advanced Energy Materials, EarlyView.Replacing toxic NiOx with phenyl‐substituted phosphonic‐acid carbazole monolayers (Ph‐5PACz) yields inverted perovskite solar cells that are efficient and recyclable. The nickel‐free interface reaches 25.3% efficiency and enables closed‐loop ITO recovery with near‐98% performance retention, while life‐cycle and techno‐economic analyses confirm lower ...
Yanxue Wang +17 more
wiley +1 more source
Robust exponential smoothing of multivariate time series. [PDF]
Multivariate time series may contain outliers of different types. In presence of such outliers, applying standard multivariate time series techniques becomes unreliable. A robust version of multivariate exponential smoothing is proposed.
Croux, Christophe +2 more
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