Ni-rich layered oxides are potential cathode materials for next-generation high energy density Li-ion batteries due to their high capacity and low ***,the inherently unstable surface properties,including high levels o...
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Ni-rich layered oxides are potential cathode materials for next-generation high energy density Li-ion batteries due to their high capacity and low ***,the inherently unstable surface properties,including high levels of residual Li compounds,dissolution of transition metal cations,and parasitic side reactions,have not been effectively addressed,leading to significant degradation in their electrochemical *** this study,we propose a simple and effective lactic acid-assisted interface engineering strategy to regulate the surface chemistry and properties of Ni-rich LiNi_(0.8)Co_(0.1)Mr_(0.1)O_(2) *** novel surface treatment method successfully eliminates surface residual Li compounds,inhibits structural collapse,and mitigates cathode-electrolyte interface film *** a result,the lactic acidtreated LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2) achieved a remarkable capacity retention of 91.7% after 100 cycles at 0.5 C(25℃) and outstanding rate capability of 149.5 mA h g^(-1) at 10 C,significantly outperforming the pristine ***,a pouch-type full cell incorporating the modified LiNi_(0.8)Co_(0.1)Mn_(0.1)O_(2) cathode demonstrates impressive long-term cycle life,retaining 81.5% of its capacity after 500 cycles at 1 *** importantly,the thermal stability of the modified cathode is also dramatically *** study offers a valuable surface modification strategy for enhancing the overall performance of Ni-rich cathode materials.
In this study, we utilize a recently proposed non-parametric metaheuristic algorithm known as geometric mean optimization (GMO) to adjust the hidden layer input weights and bias of six ANN variants, namely PSNN, SPNN,...
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The advent of smart manufacturing in Industry 4.0 signifies the era of connections. As a communication protocol, Object linking and embedding for Process Control Unified Architecture (OPC UA) can address most semantic...
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Li–air batteries are a promising type of energy storage technology because of the ultra-high theoretical specific *** advances are made in recent years,including the illustration of reaction mechanisms,development of...
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Li–air batteries are a promising type of energy storage technology because of the ultra-high theoretical specific *** advances are made in recent years,including the illustration of reaction mechanisms,development of effective catalyst materials,and design of battery structures accelerating species ***,the application still suffers from low rate capability,poor round-trip efficiency,and unsatisfactory cycling ***,we mainly focus on the species transport issues of non-aqueous Li–air batteries,including Li^(+) across the solid surfaces and the electrolyte,O_(2)solubility and diffusivity,distribution of intermediates and products,and side reactions by other components from the ***,considerable emphasis is paid to expound the approaches for enhancing species transport and accelerating reactions,among which the realization of well-designed electrode structures and flowing electrolytes is of great significance for the rapid migration of O_(2)and Li^(+)and mitigating the negative effects by solid insoluble Li_(2)O_(2).Moreover,optimizing reaction interfaces and operating conditions is an attractive alternative to promote reaction *** work aims to identify the mechanism of transport issues and corresponding challenges and perspectives,guiding the structure design and material selection to achieve high-performance Li–air batteries.
Prompt tuning for pre-trained language models (PLMs) has shown its effectiveness and superiority in few-shot learning. However, its success heavily depends on prompt engineering which designs different prompts for spe...
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Accurate detection of dust storms is challenging due to complex meteorological interactions. With the development of deep learning, deep neural networks have been increasingly applied to dust storm detection, offering...
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This paper considers a non-zero-sum game for linear discrete-time systems involving two players. Based on a quadratic value function, we derive coupled algebraic Riccati equations. Then, we propose both on-policy and ...
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In recent years, detecting image forgery has become an important topic because of the availability of efficient and sophisticated image-editing software. Copy-move forgery, which involves copying a section of an image...
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This study investigates the Maximum Power Point Tracking(MPPT)control method of offshore windphotovoltaic hybrid power generation system with offshore crane-assisted.A new algorithm of Global Fast Integral Sliding Mod...
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This study investigates the Maximum Power Point Tracking(MPPT)control method of offshore windphotovoltaic hybrid power generation system with offshore crane-assisted.A new algorithm of Global Fast Integral Sliding Mode Control(GFISMC)is proposed based on the tip speed ratio method and sliding mode *** algorithm uses fast integral sliding mode surface and fuzzy fast switching control items to ensure that the offshore wind power generation system can track the maximum power point quickly and with low *** offshore wind power generation system model is presented to verify the algorithm *** offshore off-grid wind-solar hybrid power generation systemis built in MATLAB/*** with other MPPT algorithms,this study has specific quantitative improvements in terms of convergence speed,tracking accuracy or computational ***,the improved algorithm is further analyzed and carried out by using Yuankuan Energy’s ModelingTech semi-physical simulation *** results verify the feasibility and effectiveness of the improved algorithm in the offshore wind-solar hybrid power generation system.
The conventional approaches to constructing Prediction Intervals (PIs) always follow the principle of 'high coverage and narrow width'. However, the deviation information has been largely neglected, making the...
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