Results 71 to 80 of about 15,089,367 (243)

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

Advanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar, Akash Vyas, Mohammad Aatif Qazi, Nashit Jalal, Maria Ophelia Jarligo, Mostafa Yakout, Jing Liu, André McDonald   +7 more
wiley   +1 more source

Design and selection of metal matrix composites reinforced with high entropy alloys – Functionality appraisal and applicability in service: A critical review

Journal of Alloys and Metallurgical Systems
Metal matrix composites (MMCs) reinforced with high entropy alloy particulates (HEAps) are a new class of metal-matrix composites that have the promise to meet the demanding requirements of nascent technological applications.
Sodiq Abiodun Kareem, Justus Uchenna Anaele, Emmanuel Omosegunfunmi Aikulola, Tolulope Akinkunmi Adewole, Michael Oluwatosin Bodunrin, Kenneth Kanayo Alaneme   +5 more
doaj   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

Advanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran, Vincent Nebel, Dominik Perius, Kshitij Kumar, Yannis Heim, Laura Bies, Tobias Kraus   +6 more
wiley   +1 more source

Machine Learning‐Supported Analysis for Predicting and Visualizing Nonlinear Relationships Between Material Properties in Electroplated Chromium Layers

Advanced Engineering Materials, EarlyView.
This study applies machine learning regression to predict chromium layer thickness in decorative trivalent chromium electroplating, using 441 experiments from laboratory‐scale (1L) and pilot‐scale (14L) setups. Tree‐based models, particularly CatBoost, outperformed linear regression by capturing nonlinear parameter interactions (R2$R^2$ up to 0.77 ...
Christoph Baumer, Christopher Mai, Luca Eisentraut, Andreas Bund, Ricardo Buettner   +4 more
wiley   +1 more source

Newbigging Pottery Musselburgh, Scotland c 1800 - c 1930 Ceramic Resource Disc 1 [PDF]

, 2005
The Newbigging ceramic material, listed and photographed on the enclosed disk has been assigned to the National Museums of Scotland and was catalogued using accession numbers (FD 2004.1.1 to 507.
Haggarty, George
core  

Minimum entropy restoration using FPGAs and high-level techniques [PDF]

, 2007
One of the greatest perceived barriers to the widespread use of FPGAs in image processing is the difficulty for application specialists of developing algorithms on reconfigurable hardware. Minimum entropy deconvolution (MED) techniques have been shown to
Bruce, R., Ruet, C., Marshall, S., Devlin, M.   +3 more
core   +3 more sources

Improvement of High Temperature Wear Resistance of Laser-Cladding High-Entropy Alloy Coatings: A Review

Metals
As a novel type of metal material emerging in recent years, high-entropy alloy boasts properties such as a simplified microstructure, high strength, high hardness and wear resistance.
Yantao Han, Hanguang Fu
doaj   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

Advanced Engineering Materials, EarlyView.
A lightweight and reproducible denoising pipeline for high‐throughput Raman spectroscopy is introduced, based on a 1D convolutional autoencoder trained with a Noise2Noise strategy. Using only repeated short‐exposure acquisitions, the method suppresses stochastic noise without reference spectra, enabling reliable spectral reconstruction while preserving
David Martin‐Calle, Cesar Alvarez‐Llamas, Vincent Motto‐Ros, Christophe Dujardin, Jérémie Margueritat, David Rodney   +5 more
wiley   +1 more source

The Verreville pottery Glasgow: Ceramic Resource Disk 4 [PDF]

, 2006
The ceramic material listed, described, and photographed, on the enclosed ceramic resource disk, comes from an archaeological excavation funded by FM Developments Ltd., and carried out in 2005 on the site of the Verreville glass and pottery manufactury ...
Haggarty, George
core  

High-entropy glass materials: formation mechanisms, processing pathways, and emerging applications

Materials & Design
High-entropy glass materials are gaining attention because they combine useful properties for energy, electronic, and biomedical applications. Building on crystalline high-entropy alloys, the introduction of amorphous multi-component structures opens new
Yongxing Hu, Ming Huang, Chenglei Huang, Fenglin Wang, Wei Li, Haijun Mao, Zhuofeng Liu, Weijun Zhang, Xingyu Chen   +8 more
doaj   +1 more source