Results 161 to 170 of about 3,556 (304)
A deep learning inverse‐design framework is established to create versatile reconfigurable terahertz metadevices. By synergizing deep learning with phase‐change materials, this approach enables on‐demand customization of multidimensional electromagnetic responses.
Yisheng Dong +11 more
wiley +1 more source
Orbital Elements of Six Spectroscopic Binary Stars [PDF]
B. W. Bopp +3 more
openaire +1 more source
Molecularly engineered self‐assembled monolayers (SAMs) featuring extended conjugated terminals facilitate superior interfacial coupling with the organic solar cell active layer. By physically anchoring the local morphology, this design suppresses thermal degradation, allowing devices to operate at 85°C for 150 h before degrading to 90% of their ...
Gengxin Du +17 more
wiley +1 more source
A general, versatile laser‐shock synthesis process is reported to produce various bimetallic CuNi, CuFe, CuCo, and medium‐entropy CuFeCoNi heterostructures, in which crystalline metal nanoparticles are anchored to amorphous hydroxide supports. During nitrate reduction reaction, the heterostructures undergo dynamic amorphous/crystalline reconstruction ...
Weihua Guo +18 more
wiley +1 more source
Spectroscopic Parameters of OB Stars
In this dissertation, I present the results of a study of spectroscopic parameters ofO and B type stars in the original Kepler Field and the Carina Nebula. Massivestars are highly luminous and evolve quickly off the main sequence.
core
Interface‐Engineered Binary Framework Composites: Advancing Porous Materials for Precision Medicine
Binary framework composites integrate two complementary porous architectures into a unified platform, enabling multifunctional design, enhanced structural tunability, and improved physicochemical performance. By combining high surface area, ordered porosity, interfacial synergy, and versatile functionalization, these hybrid materials offer new ...
Navid Rabiee +3 more
wiley +1 more source
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov +3 more
wiley +1 more source
High-resolution spectroscopic observations are presented for 19 single-lined binaries (giants and dwarfs) with orbital elements and mass functions similar to those of barium stars, two radial velocity non-variable barium stars, and two standards.
Galazutdinov G. +4 more
core
At Home Detection of Ovarian Health Biomarker in Menstruation Blood
A lateral flow assay enables the detection of anti‐Müllerian hormone directly in unprocessed menstrual blood using silica‐gold nanoshells and smartphone‐assisted machine learning analysis. The platform supports decentralized, user‐operated testing in wearable and dipstick formats, highlighting the potential of menstrual blood as a non‐invasive matrix ...
Lucas Dosnon +3 more
wiley +1 more source

