Results 141 to 150 of about 263,928 (263)

Additive Manufacturing of Alumina‐Reinforced Elastomers

Advanced Engineering Materials, EarlyView.
Vat‐photopolymerized elastomers reinforced with platelet‐shaped alumina exhibited preferential orientation, reduced porosity, and significantly enhanced mechanical performance. A 3 wt% platelet loading increased tensile strength from 12.4 to 45.7 MPa, highlighting the critical role of filler morphology in elastomeric VPP composites.
Majid Barzegar Keyvani, Zongwen Fu, Robert Göstl, Hamed Shokri, Carmine Putignano, Gianluca Percoco, Bilal Gökce   +6 more
wiley   +1 more source

Adaptive BDS RTK Positioning with Azimuth-Integer-Based Elevation Masking for Real-Time Deformation Monitoring in Mining Environments. [PDF]

Sensors (Basel)
Zhu L, Li M, Zhao J, Chen B, An Z, Zhang P.   +5 more
europepmc   +1 more source

High‐Temperature Phase Transformation in a V‐9Si‐6.5B Alloy: The Kinetic and Crystallographic Pathway From V5SiB2 to V8SiB4

Advanced Engineering Materials, EarlyView.
In situ synchrotron high‐energy X‐ray diffraction reveals the real‐time high‐temperature phase evolution of a ternary V‐9Si‐6.5B alloy. The study uncovers a kinetically delayed V5SiB2 → V8SiB4 transformation governed by massive structural and chemical barriers.
Zahra Sabeti, Andreas Stark, Roja Rani Korrayi, Florian Pyczak, Georg Hasemann   +4 more
wiley   +1 more source

Impact of Increasing Antenna Model Complexity on Microwave Tomography Using DBIM. [PDF]

Sensors (Basel)
Vasileiou T, Koutsoupidou M, Kosmas P.
europepmc   +1 more source

Extrusion‐Based Additive Manufacturing of Advanced Ceramics: Strengthening Mechanisms and Process Optimization Review

Advanced Engineering Materials, EarlyView.
This review comprehensively evaluates extrusion‐based additive manufacturing for advanced ceramics, detailing feedstock options and key process parameters. By critically addressing defect mechanisms like porosity and cracking, the work highlights optimization strategies through machine learning and advanced postprocessing.
Meisam Bakhtiari, Mohammad Hadi Sheikh‐Ansari, Avinash Borgaonkar, Mehran Dadkhah, Abdollah Saboori   +4 more
wiley   +1 more source

Shining a light on camouflage evolution: Using genetic algorithms to determine the effects of geometry and lighting on optimal camouflage. [PDF]

PLoS One
Hancock GRA, Cuthill IC, Troscianko J.
europepmc   +1 more source

High‐Resolution Corrosion Fingerprinting of Alloy Libraries via Microdroplet Spectroelectrochemistry

Advanced Engineering Materials, EarlyView.
Ionic‐liquid microdroplet spectroelectrochemistry enables stable, localized electrochemical measurements over extended timescales. By coupling impedance spectroscopy, wetting analysis, finite‐element simulations, and operando Raman spectroscopy, it disentangles geometrical and electrochemical effects, opening new opportunities for rapid corrosion ...
Ekaterina Kurchavova, Oumaïma Gharbi, Mireille Turmine, Vincent Vivier   +3 more
wiley   +1 more source

Application of Improved Genetic Algorithm Based on Voronoi Partitioning in Pseudolite Deployment for Tunnel Positioning Systems. [PDF]

Sensors (Basel)
Xie K, Cai C, Yang Z, Pan J.
europepmc   +1 more source

Semantic Modeling in Materials Science and Engineering With Platform MaterialDigital Core Ontology 3.0

Advanced Engineering Materials, EarlyView.
The community‐driven Platform MaterialDigital Core Ontology (PMDco) 3.0 is introduced as a Basic Formal Ontology‐aligned semantic backbone for the processing–structure–properties paradigm in Materials Science and Engineering. Modular engineering, automated releases, and validation workflows are highlighted and key semantic patterns for materials ...
Markus Schilling, Philipp von Hartrott, Jörg Waitelonis, Thomas Hanke, Henk Birkholz, Hossein Beygi Nasrabadi, Khashayar Razghandi, Kamilla Zaripova, Felix Thonagel, Fabian Neuhaus, Martin Glauer, Lars Vogt, Harald Sack, Lutz Mädler, Bernd Bayerlein, Chris Eberl   +15 more
wiley   +1 more source

Computational modeling and characterization methods for rotating magnetic nanochain-enhanced lateral flow immunoassays. [PDF]

MethodsX
Orlov AV, Malkerov JA, Rakitina AS, Kudriavtseva A, Minakov AA, Tselikov DI, Nikitin PI, Kralj S.   +7 more
europepmc   +1 more source