Results 111 to 120 of about 5,279,442 (297)

Thermomechanical Fatigue and Creep–Fatigue Interaction of Inconel 718 Additively Manufactured by Laser Beam Powder Bed Fusion

Advanced Engineering Materials, EarlyView.
Thermomechanical fatigue tests of laser beam powder bed fusion (PBF‐LB) Inconel 718 show that the additively manufactured material reaches almost the lifetimes of conventionally‐rolled material under no‐dwell conditions. Introducing dwell times at the maximum temperature markedly reduces the lifetimes due to pronounced grain boundary sliding associated
Stefan Guth, Tomáš Babinský, Jan Lars Riedel, Wen Hao Kan, Aijun Huang, Martin Heilmaier, Ivo Šulák   +6 more
wiley   +1 more source

Current Status and Challenges in Data Collection for Aerospace Coatings Deposited by Plasma Spraying

Advanced Engineering Materials, EarlyView.
An innovative approach has been integrated into the GRENAT project to optimize plasma spraying and coating performance. Raw materials are accelerated and melted in the plasma generated by torches, creating coatings. Monitoring sensors collect process data which are combined with ex situ characterization data.
Lila Randriamananjara, Vincent Rat, Quentin Dubreuil, Patrice Valorge, Simon Goutier, Alain Denoirjean, Olivier Messe, Céline Ruelle, Jean‐Philippe Poli   +8 more
wiley   +1 more source

Radio luminosity function of FSRQs

, 2018
VizieR online Data Catalogue associated with article published in journal Astronomical Journal (AAS) with title \u27Radio luminosity function of flat-spectrum radio quasars.\u27 (bibcode: 2017ApJ...842 ...
Ajello, Marco, Marchesini, Ezequiel, Urry, C. Megan, Landoni, Marco, Massaro, Francesco, Mao, Peiyuan   +5 more
core   +1 more source

Modular Critical Element Recycling Platform Using a Nanoporous Additively Manufactured Gyroid

Advanced Engineering Materials, EarlyView.
A modular recycling platform integrates 3D‐printed nanoporous gyroid structures to enable efficient critical element recovery. This system utilizes a hierarchical architecture, combining macroscopic channels with polymerization‐induced nanoscale porosity. By systematically tuning structural wall thickness and resin formulation, the platform achieves an
Xiangyu Gao, Keldy Mason, Mert Gülçür, Rachel Paddock‐Lamb, Prince Alvin Fofanah, Zachariah A. Page, Michael Cullinan   +6 more
wiley   +1 more source

The SRG/eROSITA all-sky survey: The morphologies of clusters of galaxies

Astronomy & Astrophysics
X-ray-selected surveys of clusters of galaxies have been reported to contain more regular cool core clusters compared to samples selected using the Sunyaev-Zel’dovich (SZ) effect.
Sanders J. S., Bahar Y. E., Bulbul E., Clerc N., Comparat J., Kluge M., Liu A., Malavasi N., Ramos-Ceja M. E., Reiprich T. H., Balzer F., Ghirardini V., Pacaud F., Zhang X.   +13 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

White dwarf cooling sequences and cosmochronology

EPJ Web of Conferences, 2013
The evolution of white dwarfs is a simple gravothermal process. This means that their luminosity function, i.e. the number of white dwarfs per unit bolometric magnitude and unit volume as a function of bolometric magnitude, is a monotonically increasing ...
García-Berro E., Artigas A., Isern J.
doaj   +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

Earliest Galaxies in the JADES Origins Field: Luminosity Function and Cosmic Star Formation Rate Density 300 Myr after the Big Bang

The Astrophysical Journal
We characterize the earliest galaxy population in the JADES Origins Field, the deepest imaging field observed with JWST. We make use of ancillary Hubble Space Telescope optical images (five filters spanning 0.4–0.9 μ m) and novel JWST images with 14 ...
Brant Robertson, Benjamin D. Johnson, Sandro Tacchella, Daniel J. Eisenstein, Kevin Hainline, Santiago Arribas, William M. Baker, Andrew J. Bunker, Stefano Carniani, Phillip A. Cargile, Courtney Carreira, Stephane Charlot, Jacopo Chevallard, Mirko Curti, Emma Curtis-Lake, Francesco D’Eugenio, Eiichi Egami, Ryan Hausen, Jakob M. Helton, Peter Jakobsen, Zhiyuan Ji, Gareth C. Jones, Roberto Maiolino, Michael V. Maseda, Erica Nelson, Pablo G. Pérez-González, Dávid Puskás, Marcia Rieke, Renske Smit, Fengwu Sun, Hannah Übler, Lily Whitler, Christina C. Williams, Christopher N. A. Willmer, Chris Willott, Joris Witstok   +35 more
doaj   +1 more source

Impacts of Luminosity in the Cab at Night on the Dynamic Distance of Visual Cognition

Advances in Mechanical Engineering, 2014
Suddenly encountering light sources at night will reduce drivers' dynamic distance of visual cognition. In order to investigate the law of quantitative changes of the visual recognition distance under the conditions of different speeds and different ...
Weihua Zhao, Wei Han, Ying Wen, Dongmei Zhang, Haoxue Liu   +4 more
doaj   +1 more source