Results 141 to 150 of about 2,495,027 (403)

Elucidating Sodium Ion Storage Mechanisms in Hard Carbon Anodes at the Electronic Level

Advanced Functional Materials, EarlyView.
High‐resolution, multi‐frequency continuous wave, and pulsed Electron Paramagnetic Resonance (EPR) spectroscopy uncover the intricate Na ion storage mechanisms in hard carbon. This study reveals the coexistence of Na ion intercalation and solvent co‐intercalation, alongside a subsequent transition of Na ions from ionic to quasi‐metallic to metallic ...
Qingbing Xia, Cheng‐Lin Ko, Emily R. Cooper, Qinfen Gu, Ruth Knibbe, Jeffrey R. Harmer   +5 more
wiley   +1 more source

Time-frequency analysis of electroencephalogram series. II. Gabor and wavelet transforms [PDF]

, 1996
S. Blanco, C.E. D’Attellis, S. I. Isaacson, Osvaldo A. Rosso, Ricardo O. Sirne   +4 more
openalex   +1 more source

Biointerfacing with AgBiS2 Quantum Dots for Pseudocapacitive Photostimulation

Advanced Functional Materials, EarlyView.
It is demonstrated that AgBiS2 quantum dots exhibit unique photoinduced pseudocapacitive charge transfer properties, enabling efficient light‐to‐electrical energy conversion. These quantum dots facilitate enhanced light absorption and transduction when integrated with ZnO nanowires, which serve as an effective charge transport medium.
Ridvan Balamur, Tarik Safa Kaya, Selin Sariyer, Hümeyra Nur Kaleli, Asim Onal, Ugur Berkay Caliskan, Murat Hasanreisoğlu, Rezan Demir‐Cakan, Sedat Nizamoglu   +8 more
wiley   +1 more source

Distribution Transformer Winding Fault Detection Based on Hybrid Wavelet-CNN

International Transactions on Electrical Energy Systems
This paper presents a new decision logic approach for protecting and distinguishing internal faults in power transformers. This method uses the feature extraction technique based on wavelet transform and artificial neural network.
Orkhan Afandi, Atabak Najafi
doaj   +1 more source

Narrowband Detection via Charge Collection Narrowing Organic Photodetector Enabled by Low Bandgap Random Terpolymer for Biometric Sensing

Advanced Functional Materials, EarlyView.
A novel low‐bandgap random terpolymer is designed for narrow band detection in charge collection narrowing (CCN) based organic photodetectors. With a relative thin active layer (<1 µm), the CCN‐based devices achieved a narrowband response of 68 nm full‐width‐at‐half‐maximum at 916 nm, together with Responsivity values of 0.13 A W−1 and dark current of ...
Matilde Brunetta, Zhuoran Qiao, Adibah Zamhuri, Francesco Furlan, Martina Rimmele, Peter A. Gilhooly‐Finn, Lewis M. Cowen, Filip Aniés, Patipan Sukpoonprom, Stanley Cazaly, Julianna Panidi, Flurin Eisner, Martin Heeney, Bob C. Schroeder, Nicola Gasparini   +14 more
wiley   +1 more source

Incomplete Discrete Wavelet Transform and Its Application to a Poisson Equation Solver [PDF]

, 1996
Nobuatsu TANAKA, Haruo Terasaka, Takeshi Shimizu, Yukio Takigawa   +3 more
openalex   +1 more source

Learning Sparse Wavelet Representations [PDF]

arXiv, 2018
In this work we propose a method for learning wavelet filters directly from data. We accomplish this by framing the discrete wavelet transform as a modified convolutional neural network. We introduce an autoencoder wavelet transform network that is trained using gradient descent.
arxiv  

Scaling‐Up of Structural Superlubricity: Challenges and Opportunities

Advanced Functional Materials, EarlyView.
At increasing length‐scales, structural superlubricity (SSL) faces challenges from physical and chemical energy dissipation pathways. This study reviews recent experimental and theoretical progress on these challenges facing the scaling‐up of SSL, as well as perspectives on future directions for realizing and manipulating macroscale superlubricity ...
Penghua Ying, Xiang Gao, Diana Berman, Oded Hod, Michael Urbakh   +4 more
wiley   +1 more source

Electric Equipment Diagnosis based on Wavelet Analysis

EPJ Web of Conferences, 2016
Due to electric equipment development and complication it is necessary to have a precise and intense diagnosis. Nowadays there are two basic ways of diagnosis: analog signal processing and digital signal processing. The latter is more preferable.
Stavitsky Sergey A., Palukhin Nikolay E., Kobenko Juri V., Riabova Elena S.   +3 more
doaj   +1 more source

Combining Neural Network Forecasts on Wavelet-transformed Time Series [PDF]

, 1997
Alex Aussem, Fionn Murtagh
openalex   +1 more source