Results 81 to 90 of about 338,685 (349)
Advanced Functional Materials, EarlyView.Dual‐cation site engineering unlocks stable and fast sodium storage in Na4VMn(PO4)3 cathodes. Li+ at Na2 suppresses Jahn‐Teller distortion, while K+ at Na1 expands ion channels, enabling synchronized V/Mn redox and quasi‐single‐phase kinetics. This atomic‐level strategy achieves ultralong cycling stability, high‐rate capability, and full cell viability
Jiaze Sun +8 more
wiley +1 more source
Advances in Mechanical Engineering, 2017 Vibration signal processing is commonly used in the mechanical fault diagnosis. It contains abundant working status information. The vibration signal has some features such as non-linear and non-stationary. It has a lot of interference information. Fault
Huixiang Yang +4 more
doaj +1 more source
A Multicomponent proximal algorithm for Empirical Mode Decomposition [PDF]
, 2012 International audienceThe Empirical Mode Decomposition (EMD) is known to be a powerful tool adapted to the decomposition of a signal into a collection of intrinsic mode functions (IMF). A key procedure in the extraction of the IMFs is the sifting process
Borgnat, Pierre +2 more
core +2 more sources
Advanced Functional Materials, EarlyView.Liquid crystalline inverted lipid phases and reverse micelles are self‐assembled lipid nanostructures that enhance the solubility, stability, and delivery of diverse therapeutics. This review integrates their physicochemical principles, formulation strategies, drug loading mechanisms, and biomedical applications, highlighting their growing ...
Numan Eczacioglu +3 more
wiley +1 more source
Empirical Mode Decomposition of the atmospheric wave field [PDF]
Annales Geophysicae, 2007 This study examines the utility of the Empirical Mode Decomposition (EMD) time-series analysis technique to separate the horizontal wind field observed by the Scott Base MF radar (78° S, 167° E) into its constituent parts made up of the mean ...
A. J. McDonald +4 more
doaj +1 more source
A different view on the vector-valued empirical mode decomposition (VEMD)
, 2015 The empirical mode decomposition (EMD) has achieved its reputation by providing a multi-scale time-frequency representation of nonlinear and/or nonstationary signals.
Huang, Boqiang, Kunoth, Angela
core +1 more source
A low-order decomposition of turbulent channel flow via resolvent analysis and convex optimization [PDF]
, 2014 We combine resolvent-mode decomposition with techniques from convex optimization to optimally approximate velocity spectra in a turbulent channel. The velocity is expressed as a weighted sum of resolvent modes that are dynamically significant, non ...
Jovanovic, M. R. +4 more
core +2 more sources
Advanced Functional Materials, EarlyView.A machine learning and simulation‐guided strategy is demonstrated for gentle, non‐sonication dispersion of carbon nanotubes, preserving structural integrity and performance. This approach enables transparent conductive films with low sheet resistance, high transmittance, and sub‐20 µm printability.
Ying Zhou +7 more
wiley +1 more source
A novel method to identify the flow pattern of oil–water two-phase flow
Journal of Petroleum Exploration and Production Technology, 2020 This paper presents a novel method combining extreme learning machine (ELM) and multiple empirical mode decomposition (MEMD) to identify flow patterns of oil–water two-phase flow. The proposed method can recognize accurately five typical flow patterns of
Zhong-Cheng Li, Chun-Ling Fan
doaj +1 more source
IEEE Access, 2020 The prediction of the remaining useful life (RUL) of lithium-ion batteries (LIBs) is vital for the battery management system used in electric vehicles.
Jianshu Qiao, Xiaofeng Liu, Zehua Chen
semanticscholar +1 more source