Results 131 to 140 of about 101,618 (327)

A Biologically‐Architected Wear and Damage‐Resistant Nanoparticle Coating From the Radular Teeth of Cryptochiton stelleri

Advanced Functional Materials, EarlyView.
The ultrahard teeth of mollusks that feed on rocky substrates contain a wear‐resistant coating on their surfaces consisting of densely packed mesocrystalline magnetic nanoparticles within an organic matrix. These coatings display significant hardness and toughness through their highly controlled mesocrystalline architectures.
Taifeng Wang, Yu Chen, Ezra Sarmiento, Taige Hao, Atsushi Arakaki, Michiko Nemoto, Pablo Zavattieri, David Kisailus   +7 more
wiley   +1 more source

COVID-19 diagnosis by extracting new features from lung CT images using Fractional Fourier Transform

, 2023
Nokhostin A, Rashidi S.
europepmc   +2 more sources

Electron–Matter Interactions During Electron Beam Nanopatterning

Advanced Functional Materials, EarlyView.
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima, Prathiba Thamizhavel, Taylor J. Woehl   +2 more
wiley   +1 more source

Color image encryption based on chaotic compressed sensing and two-dimensional fractional Fourier transform. [PDF]

Sci Rep, 2020
Wang X, Su Y.
europepmc   +1 more source

In Materia Shaping of Randomness with a Standard Complementary Metal‐Oxide‐Semiconductor Transistor for Task‐Adaptive Entropy Generation

Advanced Functional Materials, EarlyView.
This study establishes a materials‐driven framework for entropy generation within standard CMOS technology. By electrically rebalancing gate‐oxide traps and Si‐channel defects in foundry‐fabricated FDSOI transistors, the work realizes in‐materia control of temporal correlation – achieving task adaptive entropy optimization for reinforcement learning ...
Been Kwak, Ryun‐Han Koo, Youngchan Cho, Changhyeon Han, Dongbin Kim, Soi Jeong, Yunho Shin, Joonhyeok Choi, Jiseong Im, Jonghyun Ko, Jong‐Ho Lee, Jangsaeng Kim, Youngho Kang, Wonjun Shin, Daewoong Kwon   +14 more
wiley   +1 more source

Nonuniformly-Rotating Ship Refocusing in SAR Imagery Based on the Bilinear Extended Fractional Fourier Transform. [PDF]

Sensors (Basel), 2020
Pan Z, Fan H, Zhang Z.
europepmc   +1 more source

Unit Root Log Periodogram Regression [PDF]

Log periodogram (LP) regression is shown to be consistent and to have a mixed normal limit distribution when the memory parameter d = 1. Gaussian errors are not required. Tests of d = 1 based on LP regression are consistent against d 1 alternatives.
Peter C.B. Phillips
core  

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Generalized fractional derivatives and fourier transforms in tempered distributions with applications

Networks and Heterogeneous Media
The purpose of this paper is to define and prove that the Riemann–Liouville and Caputo fractional derivatives can be computed for tempered distributions, such that the fractional derivative of a tempered distribution remains a tempered distribution.
Amin Benaissa Cherif, Fatima Zohra Ladrani, Dalal Alhwikem, Ahmed Hammoudi, Khaled Zennir, Keltoum Bouhali   +5 more
doaj   +1 more source

Detection and Speed Estimation of Moving Target Based on Phase Compensation and Coherent Accumulation Using Fractional Fourier Transform. [PDF]

Sensors (Basel), 2020
Yang J, Liu X, Yang B, Lu J, Liao G.
europepmc   +1 more source