Results 151 to 160 of about 425,946 (297)

Intelligent Decision Support System for Including Consumers' Preferences in Residential Energy Consumption in Smart Grid [PDF]

, 2010
Omid Ameri Sianaki, Omar Khadeer Hussain, Tharam S. Dillon, Azadeh Rajabian Tabesh   +3 more
openalex   +1 more source

Transition Metal Slab Gliding: One Key Process for Activating Anionic Redox Reaction in P2‐Type Transition Metal Oxide Cathodes

Advanced Science, EarlyView.
Transition metal (TM) slab gliding is a key process for activating anionic redox reaction in P‐type layered oxide materials. Disordered TM layer weakens interlayer interactions and facilitates TM slab gliding. The resulting O‐type layer promotes reversible TM migration, provides the necessary Na–O–□TM configuration, and activates anionic redox reaction.
Dongxiao Wang, Feihu Zou, Weiguang Lin, Xiaochen Zhang, Xinran Zhang, Xingguo Qi, Shuyin Xu, Huican Mao, Dongdong Xiao, Shigang Lu, Bingkun Guo, Yong‐Sheng Hu, Yingchun Lyu   +12 more
wiley   +1 more source

Overcoming the Low‐Temperature Barrier: Controlling Li₂S Deposition and Enhancing Catalysis in Lithium‐Sulfur Batteries Using Island‐like Bi₂O₃ on rGO

Advanced Science, EarlyView.
A new island‐like Bi₂O₃ uniformly distributed on the reduced graphene oxide (IBG) is synthesized as a sulfur host material. IBG's special targeted catalytic ability toward two rate‐determining steps at low temperatures. IBG enhances catalytic efficiency at low temperatures, preventing Li₂S accumulation and improving charge–discharge efficiency ...
Hai‐Ji Xiong, Ding‐Rong Deng, Yu‐Lin Luo, Jia‐Xi Song, Jin‐Wei Yan, Shuang‐Lin Cai, Jia Liang, Cheng‐Wei Zhu, Ye Zeng, Gui‐Fang Li, Yi Li, Wen‐Jun Zhang, Mei‐Lin Liu, Qi‐Hui Wu   +13 more
wiley   +1 more source

Transforming the Poison Effects of Water Vapor into Benefits Over Adjustable Dual Acid Sites for Stable Plasma‐Catalysis

Advanced Science, EarlyView.
YxMnyOx+2y catalyst provides dual active sites of Lewis acid (Y3+) and Mn for the co‐adsorption of H2O and O3, and the fast dissociation of adsorbed H2O to surface *OH. Then, a newly OH‐accompanied pathway for O3 decomposition is formed, transforming H2O to active ·OH radical, with the assistance of high energy electrons in the plasma.
Si Chen, Sibo Zhang, Lu Fang, Yan Yang, Chenyuan Zhu, Xinyi Dai, Zhengjun Gong, Fan Dong   +7 more
wiley   +1 more source

Smart MV/LV transformer for future grids [PDF]

, 2010
P. Kadurek, J.F.G. Cobben, W.L. Kling
openalex   +1 more source

Oxygen Vacancy Defect Engineering for Transverse Thermoelectric Enhancement: a Novel Extrinsic Pathway beyond Intrinsic Approaches

Advanced Science, EarlyView.
Transverse thermoelectric (TE) technology gains increasing attention as it enables efficient power generation within a single TE element and eliminates junctions. This study enhances transverse thermopower in polycrystalline Sr3YCo4O10‐δ through oxygen vacancy defect engineering, utilizing the anomalous Nernst effect to improve TE efficiency.
Min Young Kim, Dongkyu Lee, June Ho Lee, Donghwa Lee, Gi‐Yeop Kim, Si‐Young Choi, Joseph P. Heremans, Hyungyu Jin   +7 more
wiley   +1 more source

Blockchain‐Empowered H‐CPS Architecture for Smart Agriculture

Advanced Science, EarlyView.
This article reviews the current system architectures for smart agriculture and proposes a blockchain‐empowered hierarchical cyber‐physical system (H‐CPS) framework. It discusses the challenges and outlines future research directions, including the use of semantic blockchain to handle complex data and models.
Xiaoding Wang, Qibin Wu, Haitao Zeng, Xu Yang, Hui Cui, Xun Yi, Md. Jalil Piran, Ming Luo, Youxiong Que   +8 more
wiley   +1 more source

SMS-30: Fabrication of Highly Reliable Advanced Grid Structure(SMS-V: SMART MATERIALS AND STRUCTURES, NDE)

, 2005
H. Takeya, Takayuki Ozaki, N. Takeda
openalex   +2 more sources

The role of intelligent systems in delivering the Smart Grid [PDF]

, 2010
E.M. Davidson, Victoria M. Catterson, S.D.J. McArthur   +2 more
openalex   +1 more source

Machine Learning‐Driven Surrogate Modeling for Optimization of Triboelectric Nanogenerator Design Parameters

Advanced Electronic Materials, EarlyView.
Design of Experiment and machine learning regression models are leveraged to analyze four process parameters (thickness, pore ratio, applied force, and frequency) of a contact‐separation triboelectric nanogenerator with graphene‐PDMS and aluminum layers using experimental data for the validation of predicted performance and the optimization of the ...
Mohammad Abrar Uddin, Myeongju Lim, Rubiga Kim, Barrett London Burgess, Ken Roberts, Junghyun Kim, Taeil Kim   +6 more
wiley   +1 more source