Results 101 to 110 of about 2,318,055 (330)

Magnetic stabilization of the buoyant convection between infinite horizontal walls with a horizontal temperature gradient

open access: yes, 2003
International audienceBuoyant convection induced between infinite horizontal walls by a horizontal temperature gradient is characterized by simple monodimensional parallel flows.
Ben Hadid, H.   +2 more
core   +1 more source

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

The response of a uniform horizontal temperature gradient to heating

open access: yes, 2007
The response of a uniform horizontal temperature gradient to prescribed fixed heating is calculated in the context of an extended version of surface quasigeostrophic dynamics.
Ambaum, Maarten H. P.   +1 more
core   +1 more source

MTAHG and MTBHG: Modified Approaches for Interpreting Gravity Data

open access: yesEarth and Space Science
Gravity anomaly maps often contain spatially overlapping signatures from numerous sources, each with varying shapes, depths, and density contrasts.
Hazel Deniz Toktay   +4 more
doaj   +1 more source

Influence of Geometric Design on Mechanical Performance of Auxetic Metastructure

open access: yesAdvanced Engineering Materials, EarlyView.
Strategic geometric reinforcement transforms auxetic performance. This study evaluates 3D‐printed arrowhead metastructures, revealing that a modified design with local ring reinforcement suppresses premature failure to achieve superior energy absorption and structural efficiency.
Muhammad Gulzari   +3 more
wiley   +1 more source

Improved Ionospheric Correction for Dual Frequency and Differential GPS Positioning Methods [PDF]

open access: yes, 2007
A new three dimensional (3-D) electron density model has been developed that can give a very accurate description of the real ionospheric variation; latitudinally,longitudinally and altitudinally.
Nagarajoo, Karthigesu
core  

Compatibility of Methacrylate Based Resins Controls Interfacial Failure and Toughness in 3D‐Printed Multimaterial Composites

open access: yesAdvanced Engineering Materials, EarlyView.
This work shows that the mechanical performance of multimaterial digital light processing (DLP) printed thermoset composites is governed by resin compatibility and interfacial design rather than spatial patterning alone. Brittle and ductile resin combinations produced premature interfacial failure, while graded interfaces and mechanically compatible ...
Ahmed M. H. Ibrahim   +3 more
wiley   +1 more source

Effect of viscous dissipation on steady-state pressure-driven flow in a horizontal porous channel

open access: yesProceedings of the Nigerian Society of Physical Sciences
This work considers a pressure-driven flow through a horizontal channel. The flow is considered under the influence of viscous dissipation effect and porosity of the channel plates.
Daramola Daramola   +4 more
doaj   +1 more source

Horizontal gradient of gravity anomalies map, Canada

open access: yes, 2017
The horizontal gradient of gravity anomalies map of Canada shows variations in the gravity field caused by lateral variations in the density of Earth's crust and upper mantle that reflect differences in composition and thickness. Systematic gravity mapping began in Canada in 1944 and is ongoing.
D M Jobin, M Véronneau, W Miles
openaire   +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

Home - About - Disclaimer - Privacy