Results 121 to 130 of about 222,430 (297)

Tidal friction in the solid earth [PDF]

The earth's imperfectly elastic response to body and loading tidal forces is discussed using complex Love numbers and complex mass loading coefficients.
Zschau, J.
core   +1 more source

Reviews of High‐Longevity Aqueous Zinc Metal Batteries Achieved by Programmable Interface Architectures

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This review focuses on the mechanisms of Zn2+ electrodeposition and interfacial failure together with systematical artificial interphase layer design strategies from carbon materials, zincophilic alloys, to inorganic/organic compound layers, regulating ion flux and desolvation and providing guidance for programmable interface construction in aqueous ...
Bixian Chen, Xiaomin Cheng, Haifeng Yang, Teng Li, Jing Dong, Yidong Miao, Yongzheng Zhang, Qingbo Xiao, Qinghua Guan, Jing Zhang, Yunjian Liu, Hongzhen Lin, Jian Wang   +12 more
wiley   +1 more source

Modeling and Predicting Uncertainty in Tidal Turbine Power Output: A Data-Driven Time-Series Approach

IEEE Access
The integration of sustainable energy sources into modern power grids is crucial for achieving a more resilient, equitable, and environmentally sustainable electricity infrastructure.
Niousha Talebpour, Mohammad Ilbeigi
doaj   +1 more source

Photoelectrochemical Charge Excitation Enhancement by Triboelectric Nanogenerator for High‐Efficiency Self‐Powered Anticorrosion

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
The synergy of solar and mechanical energy enables a self‐powered photoelectrochemical cathodic protection system, which enhances carrier separation for efficient and sustainable anticorrosion. Harnessing the synergy of solar and mechanical energy presents a potential strategy for high‐efficiency photoelectrochemical cathodic protection.
Youbo Nan, Xiutong Wang, Xiaofan Zhai, Weijie Fan, Yanan Sun, Hui Zhou, Yanliang Huang   +6 more
wiley   +1 more source

New insights on tidal dynamics and tidal energy harvesting in the Alderney Race. [PDF]

Philos Trans A Math Phys Eng Sci, 2020
Sentchev A, Thiébot J, Bennis AC, Piggott M.   +3 more
europepmc   +1 more source

Bottlenecks‐Breaking in Zinc‐Iodine Batteries Toward Practical Implementation: A Review and Perspective

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Aqueous zinc–iodine batteries (Zn–I2Bs) offer promise for grid storage due to safety and cost advantages yet face critical bottlenecks: severe self‐discharge (polyiodide shuttling and HER), limited energy density, sluggish kinetics, and zinc anode instability.
Jia‐Lin Yang, Jun‐Ming Cao, Dai‐Huo Liu, Xing‐Long Wu   +3 more
wiley   +1 more source

Numerical modelling of hydrodynamics and tidal energy extraction in the Alderney Race: a review. [PDF]

Philos Trans A Math Phys Eng Sci, 2020
Thiébot J, Coles DS, Bennis AC, Guillou N, Neill S, Guillou S, Piggott M.   +6 more
europepmc   +1 more source

Thermal Field–Enhanced Electro‐, Photo‐, and Photoelectrocatalytic Processes: Fundamentals, Material Design, and Applications

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Overview of thermal field–enhanced electro‐, photo‐, and photoelectrocatalytic processes: fundamentals, material design, and applications. As a very attractive approach to energy conversion and storage, electrocatalytic, photocatalytic, and photoelectrocatalytic strategies have gained increasing attention in the past decades.
Ziyi Qiao, Lingyi Li, Bing He, Yunhai Zhu, Yihuang Chen, Yingkui Yang, Xueqin Liu   +6 more
wiley   +1 more source

Dataset for concurrent echosounder and ADCP measurements at a tidal energy candidate site in Australia. [PDF]

Data Brief, 2020
Scherelis C, Penesis I, Hemer MA, Cossu R, Wright JT.   +4 more
europepmc   +1 more source

Bioinspired Crossmodal Tactile Sensory Nerve for High‐Accurate Object Recognition

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
An artificial crossmodal sensory neuron system (ACSNS) that combines a complementary memristor with high‐sensitivity pressure–temperature bimodal sensors, which integrate tactile perception, information storage, and neuromorphic computing. With the aid of machine learning, this ACSNS presents an improved accuracy of 96.67% in recognizing temperatures ...
Delu Chen, Yuetong Han, Xiaodong Wang, Wanli Cheng, Jianjie He, Xing Li, Yoshifumi Oshima, Chongxin Shan, Shaobo Cheng   +8 more
wiley   +1 more source