Results 51 to 60 of about 14,098 (299)

Slip Localization Intensification Mediated by Grain Boundary Sliding in a Polycrystalline Nickel‐Based Superalloy

open access: yesAdvanced Engineering Materials, EarlyView.
The temperature dependence of fatigue behavior in nickel‐based superalloys is investigated through high‐resolution measurements of plastic localization. While increasing temperature reduces localization and enhances fatigue performance in René 88DT, Inconel 718 exhibits a sharp degradation at intermediate temperature due to intensified slip ...
M. Calvat   +5 more
wiley   +1 more source

Spline Interpolation and Optimization on Sparse Grids [PDF]

open access: yes, 2021
This thesis investigates a new approach to the optimization of functions using only data defined on sparse grids. The sparse grids provide a dramatic reduction in data compared to full grids, and spline interpolants are constructed to serve as accurate ...
Ehirim, Chukwugozirim
core  

Sparse Grid Approximation in Weighted Wiener Spaces

open access: yesJournal of Fourier Analysis and Applications, 2023
AbstractWe study approximation properties of multivariate periodic functions from weighted Wiener spaces by sparse grid methods constructed with the help of quasi-interpolation operators. The class of such operators includes classical interpolation and sampling operators, Kantorovich-type operators, scaling expansions associated with wavelet ...
Kolomoitsev, Yurii   +2 more
openaire   +5 more sources

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

open access: yesAdvanced 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   +6 more
wiley   +1 more source

A Fast and Accurate Compressed Sensing Reconstruction Algorithm for ISAR Imaging

open access: yesIEEE Access, 2019
Compressed sensing (CS) has provided a novel way for inverse synthetic aperture radar (ISAR) imaging. In CS based ISAR imaging, the continuous range-Doppler plane is divided into grids, and the strong scattering points are assumed on the grids.
Ping Cheng   +3 more
doaj   +1 more source

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

open access: yesAdvanced 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   +4 more
wiley   +1 more source

Smolyak-Grid-Based Flutter Analysis with the Stochastic Aerodynamic Uncertainty

open access: yesDiscrete Dynamics in Nature and Society, 2014
How to estimate the stochastic aerodynamic parametric uncertainty on aeroelastic stability is studied in this current work. The aerodynamic uncertainty is more complicated than the structural one, and it takes more significant effect on the flutter ...
Yuting Dai, Chao Yang
doaj   +1 more source

Multidimensional Hierarchical Interpolation Method on Sparse Grids for the Absorption Problem

open access: yesIEEE Access, 2019
The numerical integration of multidimensional functions using some variables of the sparse grid method for the absorption problem is presented in this paper.
Xuesong Chen, Heng Mai, Lili Zhang
doaj   +1 more source

A subsystem‐based fault location method in distribution grids by sparse measurement

open access: yesIET Generation, Transmission & Distribution, 2023
With the development of smart meters and other intelligent electronic devices, more and more data‐driven fault location methods based on wide area measurement are emerging.
Xiaodong Lv   +5 more
doaj   +1 more source

A Practical Noise2Noise Denoising Pipeline for High‐Throughput Raman Spectroscopy

open access: yesAdvanced 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   +5 more
wiley   +1 more source

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