Results 131 to 140 of about 942,483 (302)
Advanced Functional Materials, EarlyView.Significant nanoscale oxygen diffusion coefficient variations are measured in ferroelectric hafnium zirconium oxide films with grain boundaries and electrode interfaces exhibiting values 104 times larger than the grain cores. Overall coefficients are 10X larger for films prepared with metal nitride electrodes compared to refractory metals. New insights
Liron Shvilberg +6 more
wiley +1 more source
Estimation of signals in colored non gaussian noise based on Gaussian Mixture models
, 2006 Non-Gaussianity of signals/noise often results in significant performance degradation for systems, which are designed using the Gaussian assumption. So non-Gaussian signals/noise require a different modelling and processing approach.
Anand, GV, Pradeepa, R
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Advanced Functional Materials, EarlyView.Sulfur‐doped graphitized carbon nanofibers act as adaptive catalyst–support platforms, enabling dynamic sulfur‐mediated reconstruction and strong metal–support interactions. This unique behavior enhances catalyst stability and controls reaction pathways, achieving highly selective urea oxidation (∼92% N2) coupled with efficient hydrogen evolution ...
Melanie Guillén‐Soler +4 more
wiley +1 more source
Advanced Functional Materials, EarlyView.Photoaligned and photopatterned liquid crystal platforms provide programmable control of optical phase, polarization, and spin‐orbit interactions, enabling compact generation of structured light and complex wavefronts. This review highlights how tailored molecular orientations transform simple beams into designed optical fields, opening versatile ...
Le Zhou +6 more
wiley +1 more source
Correlated Metal LaNiO3 as a p‐Type Transparent Conductor
Advanced Functional Materials, EarlyView.p‐type transparent conducting oxides are needed to enable superstrate solar cell geometries with n‐type absorbers. The p‐type correlated metal LaNiO3 combines high optical transmission with low electrical resistivity and is compatible with a range of scalable deposition processes.
Shivang Beniwal +8 more
wiley +1 more source
Experiments on the Application of IOHMMs to Model Financial Returns Series [PDF]
Input/Output Hidden Markov Models (IOHMMs) are conditional hidden Markov models in which the emission (and possibly the transition) probabilities can be conditioned on an input sequence.
Yoshua Bengio +2 more
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Catalytically Enhanced Near Room‐Temperature Hydrogen Sensing Using Pd‐ZnO Colloidal Crystals
Advanced Functional Materials, EarlyView.Pd‐decorated ZnO colloidal crystal monolayers demonstrate excellent performance across a wide hydrogen concentration range at 33°C, with high selectivity and reproducible device fabrication. The sensors show strong responses even at low‐ppm H2 concentrations and an ultra‐low detection limit of 82 ppb, indicating their suitability for diverse hydrogen ...
Hamidah Alluhaybi +13 more
wiley +1 more source
On the Bayesian analysis of species sampling mixture models for density estimation [PDF]
, 2006 The mixture of normals model has been extensively applied to density estimation problems. This paper proposes an alternative parameterisation that naturally leads to new forms of prior distribution.
Griffin, Jim E.
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Operando Tracking of Oxygen‐Vacancy Dynamics and Negative Capacitance in Ca‐Doped BiFeO3
Advanced Functional Materials, EarlyView.Operando electrochemical impedance spectroscopy, combined with electrocoloration, enables a direct correlation between real‐space ionic redistribution and the corresponding frequency‐domain electrical response. In lateral Ca‐doped BiFeO3 devices, time‐resolved impedance snapshots capture the evolution from bulk‐dominated mixed conduction to an ...
Jeonghun Suh +3 more
wiley +1 more source
Model-based Clustering of non-Gaussian Panel Data [PDF]
In this paper we propose a model-based method to cluster units within a panel. The underlying model is autoregressive and non-Gaussian, allowing for both skewness and fat tails, and the units are clustered according to their dynamic behaviour and ...
Juarez, Miguel A., Steel, Mark F. J.
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