Results 111 to 120 of about 21,055,376 (292)

Tracking Battery Microstructural Degradation Through Directional Thermal Transport Signatures

Advanced Functional Materials, EarlyView.
In lithium‐ion batteries, heat conduction varies between the through‐plane and in‐plane directions because of the cell's layered structure. Therefore, cell degradation influences thermal conductivity in each direction uniquely due to detailed microstructural and compositional changes.
Mohammad Shoghi Tekmedash, Rituparna Mohanty, Jack Leber, David Nageb, Mirella Richard, Sharan Singh, Amin Reihani   +6 more
wiley   +1 more source

Imaging feature-based clustering of financial time series. [PDF]

PLoS One, 2023
Wu J, Zhang Z, Tong R, Zhou Y, Hu Z, Liu K.   +5 more
europepmc   +1 more source

Kinetics‐Controlled Architecture of Binder‐Free Organic Electrodes for Enhanced Ion Transport

Advanced Functional Materials, EarlyView.
Pulse reverse electrodeposition controls nucleation and growth to create hierarchically porous Py‐derived oligomeric electrodes with enhanced ionic accessibility and reduced transport resistance. The resulting binder‐free architectures translate these transport advantages into practical sodium‐storage functionality.
Satendra Kumar, María del Carmen Giménez‐López   +1 more
wiley   +1 more source

A semiparametric Bayesian approach to the analysis of financial time series with applications to value at risk estimation [PDF]

Financial time series analysis deals with the understanding of data collected on financial markets. Several parametric distribution models have been entertained for describing, estimating and predicting the dynamics of financial time series ...
Concepción Ausín, Pulak Ghosh, Pedro Galeano   +2 more
core  

Entropy of Financial Time Series Due to the Shock of War. [PDF]

Entropy (Basel), 2023
Drzazga-Szczȩśniak EA, Szczepanik P, Kaczmarek AZ, Szczȩśniak D.   +3 more
europepmc   +1 more source

An Integrated Oxygen‐Supplying Device and Predictive Multiphysics Model for Extended Ambient Transport of Insulin‐Producing Cells

Advanced Functional Materials, EarlyView.
Cell therapies typically rely on cold‐chain logistics and cryopreservation, limiting access and compromising cell quality. Here, a dual‐chamber device separates an oxygen‐supplying chamber from a hyaluronic acid cargo chamber, sustaining oxygen delivery for over 70 h and enabling ambient‐temperature shipment.
Daniel A. Domingo‐Lopez, Ruth Tarpey, Benjamin Brennan, Bryan D. Boyle, Amir M. Alsharabasy, Abhik Mallick, Gabriella Bellavia, Abhay Pandit, Garry P. Duffy, Ruth E. Levey   +9 more
wiley   +1 more source

Forecasting U.S. Macroeconomic and Financial Time Series with Noncausal and Causal AR Models: A Comparison [PDF]

In this paper, we compare the forecasting performance of univariate noncausal and conventional causal autoregressive models for a comprehensive data set consisting of 170 monthly U.S. macroeconomic and financial time series.
Saarinen, Erkka, Lanne, Markku, Nyberg, Henri   +2 more
core  

Symbolic Encoding Methods with Entropy-Based Applications to Financial Time Series Analyses. [PDF]

Entropy (Basel), 2023
Olbryś J, Komar N.
europepmc   +1 more source

Spatially Regulated Silicon Clusters in Trimodal Composite Anodes for High‐Energy Lithium‐Ion Batteries

Advanced Functional Materials, EarlyView.
A trimodal anode architecture spatially regulates silicon clusters within confined interstitial environments formed by graphite and contorted hexabenzocoronene. This confinement suppresses silicon aggregation and localized stress while enabling efficient Li‐ion transport, achieving high‐capacity, stable lithium‐ion batteries.
Jeongmi Joo, Minsung Kang, Seung Hak Oh, Jee Ho Ha, Hyunji Cha, Jimin Han, Ji‐Su Lim, Dae Hyeon Kwon, Won‐Jin Kwak, Sang Kyu Kwak, Seokhoon Ahn, Seok Ju Kang   +11 more
wiley   +1 more source

FPGA-Accelerated ESN with Chaos Training for Financial Time Series Prediction

Machine Learning and Knowledge Extraction
Improving financial time series forecasting presents challenges because models often struggle to identify diverse fault patterns in unseen data. This issue is critical in fintech, where accurate and reliable forecasting of financial data is essential for
Zeinab A. Hassaan, Mohammed H. Yacoub, Lobna A. Said   +2 more
doaj   +1 more source