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Compositing Effect Leads to Extraordinary Performance in GeSe‐Based Thermoelectrics

Advanced Functional Materials, EarlyView.
Rhombohedral GeSe is rationally designed with (GeSe)0.9(AgBiTe2)0.1‐1.5 mol.% SnSe, achieving a peak ZT of 1.31 at 623 K. Forming a composite with SnSe establishes interfaces with strong phonon scattering and weak electron scattering. Multiscale defects lead to an ultra‐low lattice thermal conductivity (0.26 W m−1 K−1), approaching the amorphous limit.
Min Zhang, Xiao‐Lei Shi, Siqi Liu, Raza Moshwan, Tianyi Cao, Wenyi Chen, Yongqi Chen, Meng Li, Chenyang Zhang, Nanhai Li, Boxuan Hu, Wanyu Lyu, Wei‐Di Liu, Guihua Tang, Zhi‐Gang Chen   +14 more
wiley   +1 more source

Integration of Perovskite/Low‐Dimensional Material Heterostructures for Optoelectronics and Artificial Visual Systems

Advanced Functional Materials, EarlyView.
Heterojunctions combining halide perovskites with low‐dimensional materials enhance optoelectronic devices by enabling precise charge control and improving efficiency, stability, and speed. These synergies advance flexible electronics, wearable sensors, and neuromorphic computing, mimicking biological vision for real‐time image analysis and intelligent
Yu‐Jin Du, Junjie Yang, Ziyu Lv, Yongbiao Zhai, Zezhuang Yi, Yuhui Xie, Ming‐Lin Zheng, Xiangyu Ma, Guodong Gong, Yan Wang, Ye Zhou, Su‐Ting Han   +11 more
wiley   +1 more source

Enhancing Low‐Temperature Performance of Sodium‐Ion Batteries via Anion‐Solvent Interactions

Advanced Functional Materials, EarlyView.
DOL is introduced into electrolytes as a co‐solvent, increasing slat solubility, ion conductivity, and the de‐solvent process, and forming an anion‐rich solvent shell due to its high interaction with anion. With the above virtues, the batteries using this electrolyte exhibit excellent cycling stability at low temperatures. Abstract Sodium‐ion batteries
Cheng Zheng, Qian Yao, Yanan Sun, Hongyu Lv, Zhongchao Bai, Guoliang Zhang, Nana Wang, Jian Yang   +7 more
wiley   +1 more source

Middleware for Edge Devices in Mobile Edge Computing [PDF]

2021 36th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), 2021
In mobile edge computing, edge devices collect data, and an edge server performs computational or data processing tasks that need real-time processing. Depending upon the requested task's complexity, an edge server executes it locally or remotely in the cloud. When an edge server needs to offload its computational tasks, there could be a sudden failure
Manish Pandey, Young-Woo Kwon
openaire   +1 more source

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A Middleware for Mobile Edge Computing

IEEE Cloud Computing, 2017
Telecom operators have recently started to deploy massive computing and storage resources at the very edge of their access networks, hence evolving their infrastructures into large, distributed, and capillary computing environments, capable of placing applications very close to users and terminals and well-suited to effectively fulfill the challenging ...
Carrega A., Repetto M., Gouvas P., Zafeiropoulos A.   +3 more
openaire   +2 more sources

Mobile Edge Computing

2017
Paradigms of ubiquitous IoT coupled with strong context-aware data access controls are a must for the success of Health 4.0. These together with the inherent requirement of adhering to strict QoS guarantees in the health domain create a technologically challenging environment which can be effectively addressed through novel platforms.
Karthikeyan Ganesan, Swaroop Nunna
openaire   +4 more sources

A survey on mobile edge computing

2016 10th International Conference on Intelligent Systems and Control (ISCO), 2016
Mobile Edge Computing is an emerging technology that provides cloud and IT services within the close proximity of mobile subscribers. Traditional telecom network operators perform traffic control flow (forwarding and filtering of packets), but in Mobile Edge Computing, cloud servers are also deployed in each base station.
Ejaz Ahmed, Arif Ahmed
openaire   +2 more sources

Edge server placement in mobile edge computing

Journal of Parallel and Distributed Computing, 2019
Abstract With the rapid increase in the development of the Internet of Things and 5G networks in the smart city context, a large amount of data (i.e., big data) is expected to be generated, resulting in increased latency for the traditional cloud computing paradigm.
Shangguang Wang, Yali Zhao, Ching-Hsien Hsu, Jinlinag Xu, Jie Yuan   +4 more
openaire   +2 more sources

A practical architecture for mobile edge computing

2017 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN), 2017
Recently, mobile broadband networks are focused on bringing additional capabilities to the network edge. For instance, Mobile Edge Computing (MEC) brings storage and processing capabilities closer to the mobile user i.e., at the radio access network, in order to deploy services with minimum delay.
Subramanya, Tejas, Goratti, Leonardo, Khan, Shah Nawaz, Kafetzakis, Emmanouil, Giannoulakis, Ioannis, Riggio, Roberto   +5 more
openaire   +3 more sources

Enhancing Mobile Edge Computing Architecture with Human-Driven Edge Computing Model

2018 14th International Conference on Intelligent Environments (IE), 2018
In an increasingly interconnected world, mobile and wearable devices, through short range communication interfaces and sensors, become needful tools for collecting and disseminating information in high population density environments. In this context Mobile Crowdsensing (MCS), leveraging people's roaming and their devices' resources, raised the citizen
Belli D, Chessa S, Foschini L, Girolami M   +3 more
openaire   +4 more sources