Results 51 to 60 of about 385,040 (197)

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Inter-domain Virtual Network Embedding Policy for Revenue Maximization

工程科学与技术, 2018
Virtual network embedding algorithm mainly focus on the problem of how to carry more virtual networks on the substrate network by reasonably allocating resources.Inter-domain embedding is able to offer more substrate resources for virtual networks.On the
Yiming JIANG, Hailong MA, Youjun BU, Juan SHEN, Lei HE   +4 more
doaj  

Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Clustering-based energy-aware virtual network embedding

International Journal of Distributed Sensor Networks, 2017
Virtual network embedding has received a lot of attention from researchers. In this problem, it needs to map a sequence of virtual networks onto the physical network. Generally, the virtual networks have topology, node, and link constraints.
Xu Liu, Zhongbao Zhang, Junning Li, Sen Su   +3 more
doaj   +1 more source

Self‐Assembled Monolayers in p–i–n Perovskite Solar Cells: Molecular Design, Interfacial Engineering, and Machine Learning–Accelerated Material Discovery

Advanced Materials, EarlyView.
This review highlights the role of self‐assembled monolayers (SAMs) in perovskite solar cells, covering molecular engineering, multifunctional interface regulation, machine learning (ML) accelerated discovery, advanced device architectures, and pathways toward scalable fabrication and commercialization for high‐efficiency and stable single‐junction and
Asmat Ullah, Ying Luo, Stefaan De Wolf
wiley   +1 more source

Link-first based quick coordinated virtual network embedding algorithm

Tongxin xuebao, 2015
In order to reduce costs of link embedding and increase revenue, a coordinated embedding algorithm based on link-first is proposed. The algorithm embeds link and node alternately, and embeds the virtual link that with greater band-width requirement first
Wen-cheng XIONG, Ying WANG, Xue-song QIU, Wen-jing LI   +3 more
doaj   +2 more sources

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

Advanced 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, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced 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, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

QoS- and DiffServ-aware virtual network embedding using GNN and evolutionary algorithms

Discover Artificial Intelligence
Virtual Network Embedding can allocate physical resources through network virtual nodes to maximize resource utilization. However, this technology still faces problems such as poor response performance and low average revenue.
Guiyong Sheng, Li Zhang, Jun Pan, Fujun Wang   +3 more
doaj   +1 more source

Virtual Network Embedding With Dynamic Speed Switching Orchestration in Fog/Edge Network

IEEE Access, 2020
In the future 5G networks, network deployment flexibility and low network latency are two of the most critical requirements and issues. Recently, network virtualization and Fog/Edge computing have been proposed as two potential solutions to enable the ...
Yao Chiang, Yu-Hsiang Chao, Chih-Ho Hsu, Chun-Ting Chou, Hung-Yu Wei   +4 more
doaj   +1 more source