Results 171 to 180 of about 925,963 (223)
A Dual-Branch CNN-Based Method for Satellite Navigation Jamming Classification and Parameter Estimation. [PDF]
Zhao T +5 more
europepmc +1 more source
Effects of Mg on Microstructure and Solidification of a Hypereutectic Zn–8 wt.%Al Alloy
An appreciable set of results involving thermal data, microstructure, chemical composition, and microstructural growth laws is reported for ZnAlMg alloys. Such results demonstrate that ZnAlMg alloys have high potential for applications in automotive self‐lubricating components, batteries, and electrical systems.
Raí B. de Sousa +6 more
wiley +1 more source
Digital Twin-Assisted Beamforming for Millimeter Wave Massive MIMO. [PDF]
Xu K, Wu W.
europepmc +1 more source
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe +6 more
wiley +1 more source
Single-photon controlled phase shifts with colloidal quantum dots at room temperature. [PDF]
Hu C, Dai W, Zhou Y, Xu H, Liu J, Xu X.
europepmc +1 more source
Despite benefits to storage stability and handleability of aluminum scrap, octadecyl phosphonic acid (ODPA) SAMs reduce the tensile strength of wires produced using friction‐induced recycling. Etching and methyl diphosphonic acid (MDPA) coatings, however, have little effect.
Timothy D. Goller +3 more
wiley +1 more source
Effect of EMDR for reduction of pain interference in children with sickle cell disease, the RELAX study: a randomized controlled trial protocol. [PDF]
Nery M +5 more
europepmc +1 more source
A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin +14 more
wiley +1 more source

