Results 171 to 180 of about 6,247 (255)

Tetracyclic π‐Extended Multi‐Resonant TADF Emitters for Green PSF‐OLEDs With 37.7% EQE and BT.2020‐Compatible Top‐Emitting Devices

open access: yesAdvanced Functional Materials, EarlyView.
Ultra‐narrow green multi‐resonance thermally activated delayed fluorescence emitters have been developed by linear π‐extension strategy using tetracyclic naphtho[2,3‐b]benzofuran unit. The resulting phosphorescence‐sensitized OLEDs achieve a maximum external quantum efficiency of 37.7% in the bottom‐emitting architecture, while the complementary top ...
Eo Jin Jeon   +7 more
wiley   +1 more source

A Novel Starfish Optimization Algorithm for Secure STAR-RIS Communications. [PDF]

open access: yesBiomimetics (Basel)
Gafar M   +3 more
europepmc   +1 more source

Intelligent Orthopedics: Machine Learning in Diagnosis of Bone Disease, Implants, and Bone Health Monitoring

open access: yesAdvanced Healthcare Materials, EarlyView.
Efficient recovery from traumatic or degenerative diseases is a great challenge, even after all the advancements in bone and cartilage regeneration. Machine learning (ML) algorithms have presented opportunities to enhance these aspects by accurately analyzing imaging data.
Maryam Kamaei   +9 more
wiley   +1 more source

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

open access: yesAdvanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son   +20 more
wiley   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena   +3 more
wiley   +1 more source

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