Results 71 to 80 of about 964,564 (291)

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Optimal Control Drives Ultrafast and Energy‐Efficient Magnetization Switching in Van der Waals Magnets

Advanced Materials, EarlyView.
ABSTRACT The accelerating expansion of data‐centric technologies is sharply increasing the energy burden of information storage, placing unprecedented pressure on the efficiency of magnetic switching. Conventional field‐driven reversal, once the foundation of magnetic memory, has become impractical in modern architectures due to its high energy cost ...
Mohammad H. Badarneh, PeiYu Cai, Elton J. G. Santos   +2 more
wiley   +1 more source

Color Image Steganography Based on Discrete Wavelet and Discrete Cosine Transforms

Ibn Al-Haitham Journal for Pure and Applied Sciences, 2017
        The secure data transmission over internet is achieved using Steganography. It is the art and science of concealing information in unremarkable cover media so as not to arouse an observer’s suspicion.
A. A. Abdul Latef
doaj  

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Wavelet Estimators in Nonparametric Regression: A Comparative Simulation Study [PDF]

, 2001
Wavelet analysis has been found to be a powerful tool for the nonparametric estimation of spatially-variable objects. We discuss in detail wavelet methods in nonparametric regression, where the data are modelled as observations of a signal contaminated ...
Theofanis Sapatinas, Anestis Antoniadis, Antoniadis, Anestis, Jérémie Bigot, Sapatinas, Theofanis, Bigot, Jérémie   +5 more
core   +1 more source

Generating Unconventional Spin‐Orbit Torques With Patterned Phase Gradients in Tungsten Thin Films

Advanced Materials, EarlyView.
ABSTRACT A key aim in spintronics is to achieve current‐induced magnetization switching via spin‐orbit torques without external magnetic fields. For this, the focus of recent work has been on introducing controlled lateral gradients across ferromagnet/heavy‐metal devices, giving variations in thickness, composition, or interface quality.
Lauren J. Riddiford, Anne Flechsig, Shilei Ding, Emir Karadža, Niklas Kercher, Tobias Goldenberger, Elisabeth Müller, Pietro Gambardella, Laura J. Heyderman, Aleš Hrabec   +9 more
wiley   +1 more source

Resonant Domain Wall Dynamics in a Three‐Dimensional Magnetic Nano Double Helix

Advanced Materials, EarlyView.
3D magnetic nanostructures promise exciting possibilities for magnetization dynamics. However, experimental realizations remain scarce. In nanoprinted cobalt double helices, time‐resolved X‐ray microscopy reveals harmonic domain wall dynamics. Simulations identify the mode and additional higher‐frequency resonances, revealing a rich dynamic landscape ...
Pamela Morales‐Fernández, Iason Konstantinos‐Douveas, Claas Abert, Elina Zhakina, Sandra Ruiz‐Gómez, Claudia Fernández‐González, Luke Alexander Turnbull, Sebastian Wintz, Markus König, Simone Finizio, Markus Weigand, Naëmi Leo, Dieter Suess, Aurelio Hierro‐Rodríguez, Amalio Fernández‐Pacheco, Claire Donnelly   +15 more
wiley   +1 more source

Wavelet Neural Network Model for Yield Spread Forecasting

Mathematics, 2017
In this study, a hybrid method based on coupling discrete wavelet transforms (DWTs) and artificial neural network (ANN) for yield spread forecasting is proposed.
Firdous Ahmad Shah, Lokenath Debnath
doaj   +1 more source

Emergent Spin Supersolids in Frustrated Quantum Materials

Advanced Materials, EarlyView.
This review highlights developments in the study of spin super‐solids in frustrated quantum materials. Advanced experimental characterizations and computational studies enable a comprehensive understanding of the driving mechanisms of spin super‐solidity in various layered transition‐metal compounds, bridging materials, experiments, and theory aspects.
Yixuan Huang, Seiji Yunoki, Sadamichi Maekawa   +2 more
wiley   +1 more source

Development of a Very Low-Cost Deforestation Monitoring System Based on Aerial Image Clustering and Compression Techniques

Advances in Electrical and Computer Engineering
Clustering holds significant utility across a spectrum of several domains, including pattern recognition, image analysis, customer analytics, market segmentation, social network analysis, and numerous other areas. The main advantages of image clustering
ANDREI, A.-T., GRIGORE, O.
doaj   +1 more source