Advancing Energy Materials by In Situ Atomic Scale Methods
Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.Progress in in situ atomic scale methods leads to an improved understanding of new and advanced energy materials, where a local understanding of complex, inhomogeneous systems or interfaces down to the atomic scale and quantum level is required. Topics from photovoltaics, dissipation losses, phase transitions, and chemical energy conversion are ...
Christian Jooss +21 more
wiley +1 more source
Diagnosis of Encephalopathy Based on Energies of EEG Subbands Using Discrete Wavelet Transform and Support Vector Machine. [PDF]
Neurol Res Int, 2018 Jacob JE, Nair GK, Iype T, Cherian A.
europepmc +1 more source
Peak Detection based Spread Spectrum Audi Watermarking using Discrete Wavelet Transform
, 2011 Neha Baranwal +2 more
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Prospect of Ruthenium for Hydrogen Evolution Reaction in Alkaline Media through In Situ Monitoring
Advanced Energy Materials, EarlyView.This perspective highlights how in situ/operando techniques enable real‐time tracking of active Ru‐based catalysts under alkaline HER conditions. By combining static descriptors with dynamic‐state insights, a design feedback loop is proposed to guide rational catalyst development beyond equilibrium models.
Jiwon Kim +6 more
wiley +1 more source
Quantifying the ON and OFF Contributions to the Flash ERG with the Discrete Wavelet Transform. [PDF]
Transl Vis Sci Technol, 2017 Gauvin M +5 more
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Designing Memristive Materials for Artificial Dynamic Intelligence
Advanced Intelligent Discovery, EarlyView.Key characteristics required of memristors for realizing next‐generation computing, along with modeling approaches employed to analyze their underlying mechanisms. These modeling techniques span from the atomic scale to the array scale and cover temporal scales ranging from picoseconds to microseconds. Hardware architectures inspired by neural networks
Youngmin Kim, Ho Won Jang
wiley +1 more source
A Novel Method for Classifying Liver and Brain Tumors Using Convolutional Neural Networks, Discrete Wavelet Transform and Long Short-Term Memory Networks. [PDF]
Sensors (Basel), 2019 Kutlu H, Avcı E.
europepmc +1 more source
A Practical BuyerSeller Watermarking Protocol based on Discrete Wavelet Transform
, 2011 Ashwani Kumar +3 more
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