Results 121 to 130 of about 297,618 (272)
Growth of Millimeter‐Sized BaTaO2N Single Crystals by an NH3‐Assisted BaCl2 Flux Method
Millimeter‐sized BaTaO2N single crystals are successfully grown from a BaCl2 flux under NH3 flow. Their comprehensive characterization, including dielectric properties, is demonstrated, and the possible growth mechanisms are discussed. Abstract Perovskite‐type oxynitrides have attracted considerable attention due to their excellent photocatalytic ...
Ginji Harada +2 more
wiley +1 more source
Local Thermal Conductivity Patterning in Rotating Lattice Crystals of Anisotropic Sb2S3
Microscale control of thermal conductivity in Sb2S3 is demonstrated via laser‐induced rotating lattice crystals. Thermal conductivity imaging reveals marked thermal transport anisotropy, with the c axis featuring amorphous‐like transport, whereas in‐plane directions (a, b) exhibit 3.5x and 1.7x larger thermal conductivity.
Eleonora Isotta +13 more
wiley +1 more source
Photomultiplication organic photodetectors (PM OPDs) are an attractive strategy for health‐monitoring. Here, PM‐OPDs are reported with a specific detectivity of 5.7 × 1012 Jones and external quantum efficiency values of 3500% under −10 V. The dynamics of carrier trapping in these devices are elucidated through trap selective spectroscopical techniques.
Marie Houot +9 more
wiley +1 more source
A FeN4─O/Clu@NC‐0.1Ac catalyst containing atomically‐dispersed FeN4─O sites (medium‐spin Fe2+) and Fe clusters delivered a half‐wave potential of 0.89 V for ORR and an overpotential of 330 mV at 10 mA cm−2 for OER in 0.1 m KOH. When the catalyst was used in a rechargeable Zn–air battery, a power density of 284.5 mW cm−2 was achieved with excellent ...
Yongfang Zhou +8 more
wiley +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Photo‐Switching Thermal and Lithium‐Ion Conductivity in Azobenzene Polymers
Light‐responsive azobenzene polymers control thermal and ionic transport simultaneously through structural transitions. UV illumination disrupts π–π stacking, converting crystalline trans states to amorphous cis configurations. Thermal conductivity drops from 0.45 to 0.15 W·m−1·K−1 while Li+ diffusivity increases 100 fold. This dual transport switching
Jaeuk Sung +7 more
wiley +1 more source
The effect of thin coatings on second harmonic generation
The effect of thin coatings of nonlinear material on second harmonic generation is studied in this paper. Asymptotic expansions of the fields inside a thin nonlinear coating are performed. The convergence of these formal expansions is established.
Habib Ammari, Gang Bao, Kamel Hamdache
doaj
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken +6 more
wiley +1 more source

