Results 111 to 120 of about 10,585 (284)

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

Observation of Extraordinary Vibration Scatterings Induced by Strong Anharmonicity in Lead‐Free Halide Double Perovskites

open access: yesAdvanced Science
Lead‐free halide double perovskites provide a promising solution for the long‐standing issues of lead‐containing halide perovskites, i.e., the toxicity of Pb and the low stability under ambient conditions and high‐intensity illumination.
Guang Wang   +7 more
doaj   +1 more source

Lead‐Free Bismuth Halide Perovskite Memristors: Low‐Voltage Switching and Physical Modeling of Resistive Hysteresis

open access: yesAdvanced Materials Technologies, EarlyView.
Lead‐free bismuth halide perovskite memristors exhibit stable low‐voltage resistive switching behavior. The conductance‐activated quasi‐linear memristor model quantitatively reproduces the experimental hysteresis, confirming ion migration‐driven filament dynamics.
So‐Yeon Kim   +4 more
wiley   +1 more source

Smart Closed‐Loop Systems in Personalized Healthcare: Advances and Outlook

open access: yesAdvanced Materials Technologies, EarlyView.
A smart closed‐loop e‐textile integrates multimodal sensing, onboard processing, wireless communication, and wearable power to enable real‐time physiological/biochemical monitoring and feedback‐controlled therapy. ABSTRACT Smart textiles represent a revolutionary frontier in healthcare, seamlessly blending fabric and advanced technologies to create ...
Safoora Khosravi   +12 more
wiley   +1 more source

ZnCl2 Post‐Treatment Enables High‐Efficiency Violet CsPbCl3 Quantum Dot LEDs

open access: yesAdvanced Optical Materials, EarlyView.
Schematic illustration of ZnCl2 post‐treatment–induced doping in CsPbCl3 quantum dots (QDs). ABSTRACT Perovskite light‐emitting diodes (LEDs) have achieved external quantum efficiencies (EQEs) above 20% in the red, green, and blue spectral regions, yet their efficiency rapidly declines as the bandgap widens for shorter‐wavelength emission.
Po‐Hsien Lai   +3 more
wiley   +1 more source

Experimental Evidence of Free Carrier Generation in 2D Hybrid Organic–Inorganic Perovskites

open access: yesAdvanced Optical Materials, EarlyView.
ABSTRACT Despite the significant potential of 2D hybrid organic–inorganic perovskites (2DHOIPs) for high‐efficiency optoelectronics application‐comparable to their 3D counterparts, the fundamental carrier photogeneration remains unclear. In contrast to conventional ultrafast optical property characterization, we use ultrafast photocurrent spectroscopy ...
Tuhin Ghosh   +8 more
wiley   +1 more source

Lead-free Cs2Ag1− xNaxIn1 − yBiyCl6 perovskite films with broad warm-yellow emission for lighting applications

open access: yesScientific Reports
Lead-free halide double perovskite Cs2AgInCl6 has been extensively studied in recent years due to the lead toxicity and poor stability of common lead halide perovskites.
Haiyan Wang   +7 more
doaj   +1 more source

The Role of Ionic Liquids at the Biological Interfaces in Bioelectronics

open access: yesAdvanced Science, EarlyView.
Ionic liquids (ILs) are highlighted as key artificial ionic materials that bridge biological ion‐based signaling and electronic devices. By understanding their composition, structure, function relationships, and mechanisms, ILs can advance from high performance electrolyte to core materials enabling integrated, multifunctional bioelectronics for ...
Yeong‐sinn Ye   +5 more
wiley   +1 more source

Machine Learning Discovery of Record‐Low Lattice Thermal Conductivity in Double Perovskites

open access: yesAdvanced Science, EarlyView.
 A deep learning interatomic potential is introduced to predict forces for computing phonon properties and thermal transport behavior in double perovskites. Screening 9,709 compounds identifies 1,597 stable materials, and Boltzmann transport calculations including both three and four‐phonon scattering suggests a record‐low lattice thermal conductivity ...
Md Zaibul Anam   +3 more
wiley   +1 more source

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