Results 211 to 220 of about 90,837,507 (265)

Workflow for Design of Experiments‐Based Modeling of Species Transport and Growth Kinetics in GaN Hydride Vapor Phase Epitaxy

Advanced Engineering Materials, EarlyView.
A novel workflow for investigating hydride vapor phase epitaxy for GaN bulk crystal growth is proposed. It combines Design of experiments (DoE) with physical simulations of mass transport and crystal growth kinetics, serving as an intermediate step between DoE and experiments.
J. Tomkovič, G. Lukin, H. Torkashvand, A. Kerschbaum, M. Müller, S. Besendörfer, J. Heitmann, J. Friedrich   +7 more
wiley   +1 more source

Design of MAPb(Br_xI_1-x)₃-Based Solar Cells: Compositional Optimization for Thermally Stable and Defect-Tolerant Devices. [PDF]

Nanomaterials (Basel)
Moiz SA, Masud MI, Kashif M.
europepmc   +1 more source

Symmetry‐Guided Multifunctional Acoustic System Based on Mechanically Actuated Sonic Crystals

Advanced Engineering Materials, EarlyView.
This study presents the design, simulation, and experimental validation of amultifunctional acoustic metamaterial based on rotationally engineered sonic crystals.By tuning cylinder orientations, controllable band gaps and six distinct functionalities—including switching, topological insulation, beam splitting, and logic operations—areachieved ...
Yuanyan Zhao, Sriram Subramanian, Gianluca Memoli   +2 more
wiley   +1 more source

Self-powered magnetoelastic tents for sustainable energy access in unhoused communities. [PDF]

Matter
Fan X, Tat T, Chen G, Shen S, Zhou Y, Zhao X, Yin J, Chen J.   +7 more
europepmc   +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

Improving carbon stock estimates in plantation forestry: Site-specific allometric equations for Gmelina arborea in Ghana's Kwahu Highlands. [PDF]

PLoS One
Asare BW, Ansong M, Boadu KB, Owusu P.
europepmc   +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

Symmetry Engineering in Heterometallic TMDC Mo_(1-x)Nb_xSe₂: A Systematic Route Toward Enhanced Nonlinear Optical Performance. [PDF]

Small
Hani SU, Alam TI, Liang K, Yang K, Ahmed S, Xu L, Yang M, Zhu Y, Tsang YH.   +8 more
europepmc   +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

Inter-Formula Variability in IOL Power Planning in Short and Long Eyes: A Retrospective Paired Comparison of Seven ESCRS-Hosted Formulas and the Ladas Super Formula 2.0. [PDF]

Clin Ophthalmol
Klimek M, Földesi A, Botic D, Golsch V, Khandour R, Tamberger M, Boltz A, Vécsei-Marlovits PV.   +7 more
europepmc   +1 more source