Results 201 to 210 of about 681,573 (287)

Morphology‐Controlled Silica Nanoparticle Coatings for Transparent Radiative Cooling

open access: yesAdvanced Materials Interfaces, EarlyView.
Transparent radiative cooling coatings are achieved by immobilizing solid and hollow silica spheres on glass. Particle morphology within sub‐monolayer coatings is shown to govern the trade‐off between visible and atmospheric window reflectance. Hollow‐sphere structures enable reduced thermal emission losses while preserving transparency, highlighting ...
Jefferson A. S. Lam   +8 more
wiley   +1 more source

A Family of Sodium Solid‐State Electrolytes Based on the NaGaxAl1‐xCl4 Solid Solution

open access: yesAdvanced Materials Interfaces, EarlyView.
ABSTRACT Sodium‐based metal chloride solid electrolytes are promising for sodium solid‐state batteries due to their excellent oxidation stability, which, as shown for Li halides, can coexist with high ionic conductivity. To explore cationic substitution effects, we synthesized NaGaxAl1‐xCl4 (0 ≤ x ≤ 1) via ball milling and investigated structural and ...
Hao Guo, Matteo Bianchini
wiley   +1 more source

Passivated SiC Surfaces for Photonic and Quantum Applications: Balancing Chemical Stability and Surface Luminescence

open access: yesAdvanced Materials Interfaces, EarlyView.
Low‐temperature passivation of SiC reveals that optical surface quality and chemical stability are not directly correlated. Ar plasma‐treated and SiNx‐passivated surfaces yield the lowest photoluminescence background, whereas CF4 plasma and ALD‐grown dielectrics introduce higher emission.
Marina Scharin‐Mehlmann   +4 more
wiley   +1 more source

Advances in Halide Perovskites for Photon Radiation Detectors

open access: yesAdvanced Materials Technologies, EarlyView.
This work highlights recent progress in perovskite‐based photon radiation detectors, covering organic–inorganic hybrid, inorganic, lead‐free double, and vacancy‐ordered halide perovskites. Their detection performance is compared, material‐specific advantages and challenges are examined, and provides insight into current limitations and future ...
Liangling Wang   +3 more
wiley   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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