Results 161 to 170 of about 251,836 (304)

Preventive spare parts supply strategy for large-scale equipment based on performance degradation. [PDF]

PLoS One
Gao Y, Liu J, Li C, Shen Q, Zhang R, Feng Z.   +5 more
europepmc   +1 more source

Evaluation of Plasticity and Creep Parameters From Tensile Stress–Strain Data for a Range of Strain Rates

Advanced Engineering Materials, EarlyView.
This plot compares experimental tensile stress–strain curves (with 4 different strain rates) and corresponding modelled curves (obtained using the optimised sets of Voce and Miller–Norton parameter values shown). The inferred M‐N values, characterizing the creep, are very similar to those obtained via conventional creep testing.
S. Ooi, R. P. Thompson, T. W. Clyne
wiley   +1 more source

An Experimental High‐Throughput Approach for the Screening of Hard Magnet Materials

Advanced Engineering Materials, EarlyView.
An entire workflow for the high‐throughput characterization and analysis of compositionally graded magnetic films is presented. Characterization protocols, data management tools and data analysis approaches are illustrated with test case Sm(Fe, V)12 based films.
William Rigaut, Pierre Le Berre, Hamdi Jaballah, Lukas Fink, Victor Poline, Richard Haettel, Stéphane Grenier, Gilbert Chahine, Ewen Bellec, Guillaume Buatier, Wilfried Hortschitz, Santa Pile, Thomas Schrefl, Nils Blanc, Yuan Hong, Thibaut Devillers, Nora M. Dempsey   +16 more
wiley   +1 more source

A user behavior inertia based spatio temporal next POI recommendation model. [PDF]

Sci Rep
Zhang K, Chu D, Tu Z, Hong Z.
europepmc   +1 more source

Influence of Surface Finish on the Tribological Performance of AlTiBN Coatings Deposited on Forming Tools

Advanced Engineering Materials, EarlyView.
Aluminum and nitride coatings are used in industry because they are hard, resist wear, and protect against oxidation. Adding boron can improve friction behavior and other properties. This study tests coatings on surfaces with different finishes. Results show smoother surfaces perform better, while rough ones wear faster, although coatings can reduce ...
Adrián Claver, Iker Alfonso, Eneko Barba, Javier León, José Antonio García, Iñaki Zalakain, Iván Fernández Martínez, Arley García‐Carrero, Christian Almeyda, Daniel Salcedo   +9 more
wiley   +1 more source

The latest AI breakthroughs in structural biology: protein binder design and conformational state prediction. [PDF]

Commun Biol
Abriata LA.
europepmc   +1 more source

The generalized moment problem with complexity constraint

, 2003
This paper 3 is dedicated to Arthur Krener – a great researcher, a great teacher and a great friend – on the occasion of his 60th birthday. In this work we study the generalized moment problem with complexity constraints in the case where the actual ...
Christopher I. Byrnes, Anders Lindquist
core  

Low Cycle Repetitive Loading of Ti‐6Al‐4V‐Epoxy Composite Lattice Structures for Enhanced Energy Dissipation and Damage Tolerance

Advanced Engineering Materials, EarlyView.
Composite Ti–6Al–4V–epoxy lattice structures are additively manufactured and epoxy infiltrated for cyclic loading. At low lattice volume fractions, hybridization produces synergistic gains in stiffness and energy dissipation. At higher volume fractions, synergy diminishes, although composites still exceed metallic lattices in specific energy ...
Joey Tallon, Jordan Noronha, Justin Dirrenberger, Andrey Molotnikov   +3 more
wiley   +1 more source

Determinacy of a Rational Moment Problem

, 1999
We discuss a moment problem of Stieltjes type that is related to the theory of orthogonal rational functions. We obtain results which lead to a suÆcient condition of Carleman type for determinacy of the moment problem. Key words: rational moment problem,
A. Bultheel, P. González-Vera, E. Hendriksen   +2 more
core  

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