Results 211 to 220 of about 8,931 (261)

Transition Metal Compounds as Thermochromic Materials: Classification, Properties, Limitations, and Applications

EcoEnergy, EarlyView.
This review systematically examines how different transition metal compounds—such as binary and multinary metal oxides, halides, sulfides, and salts—exhibit thermochromism based on the d‐electron configurations of their transition metal cations. It focuses on three main mechanisms of thermochromism: phase transition, charge transfer, and bandgap change.
Jie Wang, Shan Wang, Long Yuan, Ling Zuo, Hui Qi, Changmin Hou   +5 more
wiley   +1 more source

Diffusion Model-Guided Inverse Design of Bimetallic Catalysts for Ammonia Decomposition. [PDF]

J Am Chem Soc
Yang J, Ye K, Xie S, Li Q, Milhans C, Liu F, Che F.   +6 more
europepmc   +1 more source

Multiscale modeling of blood circulation with cerebral autoregulation and network pathway analysis for hemodynamic redistribution in the vascular network with anatomical variations and stenosis conditions. [PDF]

PLoS Comput Biol
Liu J, Kanoke A, Endo H, Niizuma K, Suito H.   +4 more
europepmc   +1 more source

Traffic Forecasting for Industrial Internet Gateway Based on Multi-Scale Dependency Integration. [PDF]

Sensors (Basel)
Ma T, Liu J, Xu P, Song Y.
europepmc   +1 more source

Multiscale Characterization of Electrode-Induced Degradation in Perovskite Solar Cells. [PDF]

ACS Appl Energy Mater
Paul G, Schall JW, Guthrey HL, Migliozzi M, Tirawat R, Roberts DM, Johnston SW, Al-Jassim MM, Jiang CS, Palmstrom AF, Kern DB.   +10 more
europepmc   +1 more source

Research on Bearing Fault Diagnosis Based on VMD-RCMWPE Feature Extraction and WOA-SVM-Optimized Multidataset Fusion. [PDF]

Sensors (Basel)
Wang S, Wang C, Lian Y, Luo B.
europepmc   +1 more source

Mapping the multiscale neuroanatomy of GRN-related frontotemporal dementia using mode-based morphometry. [PDF]

Neuroimage Clin
Premi E, Bianchetti G, Bracca V, Campana G, Gatti E, Cao T, Fornito A, Cantoni V, Bellini S, Corbo D, Magoni M, Gasparotti R, Ghidoni R, Pievani M, Borroni B.   +14 more
europepmc   +1 more source

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Multiscale tensor decomposition

2016 50th Asilomar Conference on Signals, Systems and Computers, 2016
Large datasets usually contain redundant information and summarizing these datasets is important for better data interpretation. Higher-order data reduction is usually achieved through low-rank tensor approximation which assumes that the data lies near a linear subspace across each mode.
Alp Ozdemir, Mark A. Iwen, Selin Aviyente   +2 more
openaire   +1 more source

Prediction Based on a Multiscale Decomposition

International Journal of Wavelets, Multiresolution and Information Processing, 2003
A wavelet-based forecasting method for time series is introduced. It is based on a multiple resolution decomposition of the signal, using the redundant "à trous" wavelet transform which has the advantage of being shift-invariant.The result is a decomposition of the signal into a range of frequency scales.
Olivier Renaud, Jean-Luc Starck, Fionn Murtagh   +2 more
openaire   +3 more sources

Multiscale nonlinear decomposition: the sieve decomposition theorem

IEEE Transactions on Pattern Analysis and Machine Intelligence, 1996
Sieves decompose one dimensional bounded functions (d/sub m/)/sub m=1//sup R/ that represent the information in a manner that is analogous to the pyramid of wavelets obtained by linear decomposition. Sieves based on sequences of increasing scale open-closings with flat structuring elements (M and N filters) map f to {d} and the recomposition ...
Bangham, J. A., Chardaire, P., Pye, C. J., Ling, P. D.   +3 more
openaire   +2 more sources