Results 101 to 110 of about 236,324 (267)

Sub‐1 ms Optoelectronic Synapse Based on {ZnCdO/ZnO} Multilayer Structure for High‐Speed Neuromorphic Vision Systems

Advanced Functional Materials, EarlyView.
Eu‐doped {ZnCdO/ZnO} structures grown on Si are developed, showcasing dual‐functionality controlled by europium doping. While high europium concentration transforms the device into an ultrafast, self‐powered photodetector, low‐doped structures can be used as an optoelectronic synapse.
Igor Perlikowski, Eunika Zielony, Adrian Kaim, Ewa Przeździecka   +3 more
wiley   +1 more source

Circularly Polarized Electroluminescence and Spin‐Polarized Carrier Transport in Chiral‐Doped Polymer Films

Advanced Functional Materials, EarlyView.
Chiral dopants induce supramolecular chirality in an achiral polymer (PFO), generating spin‐polarized carriers via the chiral‐induced spin selectivity (CISS) and suggesting a possible contribution of Spin‐polarized carrier transport to circularly polarized electroluminescence (CPEL).
Kazuyuki Asahi, Masashi Hasegawa, Yuuya Nagata, Tamaki Nakano, Hiroyuki Nishikawa   +4 more
wiley   +1 more source

Dynamic Event-Triggering Control for Virtual Coupling of Virtual Track Trains Considering Communication Delay

Kongzhi Yu Xinxi Jishu
Virtual coupling technology, achieved through inter-train cooperative control in wireless communication networks, can effectively manage both periodic and random passenger flow.
ZHOU Wenqing, YANG Caijin, LU Ye, LI Daoyang, ZHANG Weihua   +4 more
doaj  

A New Strategy for Creating Quantum Light Emitters Via Post‐Growth Hydrogen‐Ion Irradiation of III‐V Nanowires

Advanced Functional Materials, EarlyView.
A post‐growth method is demonstrated to realize energy‐tunable quantum emitters in GaAs/GaAsN/GaAs core–multishell nanowires on a Si substrate. By combining the N‐induced bandgap reduction with H‐ion irradiation, the GaAsN potential landscape is engineered, enabling isolated, narrow emission lines that function as single‐photon sources with g(2)(0) ∼ 0.
Akant Sagar Sharma, Paolo De Vincenzi, Nadine Denis, Francesca Santangeli, Riccardo Pallucchi, Harikrishnan Gopalakrishnan, Elena Blundo, Antonio Polimeni, Marco Felici, Fumitaro Ishikawa, Marta De Luca   +10 more
wiley   +1 more source

Differential protection of distribution network based on 5G and particle swarm algorithm

Diance yu yibiao
Differential protection has excellent selectivity and quick motion, which is suitable for distribution network protection scenarios of multi-source networks.
HAO Hanbing, WANG Tongwen, ZHU Sijie, HOU Zhengquan, HUANG Yuhui   +4 more
doaj   +1 more source

Scheduling with Communication Delay

, 2007
hanbook on ...
Giroudeau, Rodolphe, König, Jean-Claude
openaire   +1 more source

Managing Charge Transport and Exciton Generation for Highly Efficient, Bright, and Stable Near‐Infrared Organic Radical Light‐Emitting Diodes

Advanced Functional Materials, EarlyView.
High‐performing near‐infrared (NIR) organic light‐emitting diodes are demonstrated using an efficient and stable 800 nm‐emissive organic radical and a thermally activated delayed fluorescence (TADF) host. TADF‐assisted exciton generation combined with improved charge transport enables high external quantum efficiency (>8%), high radiance (>70,000 mW sr−
Hwan‐Hee Cho, Min‐Hsuan Chang, Yi‐Syun Chen, Tetsuro Kusamoto, Emrys W. Evans, Yuh‐Renn Wu, Richard H. Friend   +6 more
wiley   +1 more source

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

Advanced 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, Hesam Mohammadi, Shamim Golafshan, Mojtaba Alehosseini, Mahsa Mohammadzadeh, Atefeh Golshirazi, Nasim Golafshan, Tatiane Eufrásio‐da‐Silva, Alireza Dolatshahi‐Pirouz, Gorka Orive   +9 more
wiley   +1 more source

Prediction of Hydrogen Production from Solid Oxide Electrolytic Cells Based on ANN and SVM Machine Learning Methods

Atmosphere
In recent years, the application of machine learning methods has become increasingly common in atmospheric science, particularly in modeling and predicting processes that impact air quality. This study focuses on predicting hydrogen production from solid
Ke Chen, Youran Li, Jie Chen, Minyang Li, Qing Song, Yushui Huang, Xiaolong Wu, Yuanwu Xu, Xi Li   +8 more
doaj   +1 more source

Spatially Controlled Embedded Bioprinting of Prevascularized Spheroids‐Containing Biopatch Enables Functional Skin Regeneration

Advanced Healthcare Materials, EarlyView.
A spatially controlled embedded bioprinting strategy enables precise engineering of prevascularized multicellular spheroids within skin‐derived dECM bioinks. Optimized spheroid size, composition, and spacing promote vascular maturation, paracrine signaling, and tissue integration, resulting in enhanced angiogenesis, blood perfusion, and functional skin
Minjun Ahn, Gyu Tae Park, Dongjun Lee, Sik Yoon, Sae‐Ock Oh, Jae Ho Kim, Byoung Soo Kim   +6 more
wiley   +1 more source