典型文献
CHAIN:unlocking informatics-aided design of Li metal anode from materials to applications
文献摘要：
With the rapid development of consumer elec-tronics,electric vehicles and grid-scale stationary energy storage,high-energy batteries are urgently demanded at present.Lithium metal batteries(LMBs)are considered to be one of the most promising high-energy density energy storage devices at present and have received much atten-tion due to their ultra-high theoretical capacity,extremely low electrochemical potential and light mass.However,critical issues,such as uncontrollable lithium dendrite growth,dynamic changes in volume,interfacial impe-dance,severe chemical and electrochemical corrosion,remain huge challenges for Li metal anodes,which not only lead to low Columbic efficiency of LMBs,but also pose the risk of internal short circuit,causing serious side reactions and safety concerns that hinder LMBs from practical applications.Nevertheless,lithium metal is gradually poised for a revival after decades of oblivion,due to the development of research tools and nanotechnology-based solutions.In this review,various recent material designs for lithium metal anodes are reviewed based on previous theoretical understanding and analysis.Sup-pressing Li dendrites and ensuring the long life span of practical batteries through limited Li metal anodes design are still challenges.Multi-scale modeling methods are concerned,requiring the application of electrode material development.Hybrid multi-scale modeling application methods with machine learning technology are proposed based on the cloud computing platform.Computational material designs for Li metal anodes on model information are integrated with artificial intelligence.Finally,this review provides a novel framework for next-generation lithium metal anode design methods with a digital solution based on multi-scale data-driven models and machine learning techniques.
文献关键词：
中图分类号：
作者姓名：
Li-Sheng Zhang;Xin-Lei Gao;Xin-Hua Liu;Zheng-Jie Zhang;Rui Cao;Han-Chao Cheng;Ming-Yue Wang;Xiao-Yu Yan;Shi-Chun Yang
作者机构：
School of Transportation Science and Engineering,Beihang University,Beijing 100191,China
文献出处：
引用格式：
[1]Li-Sheng Zhang;Xin-Lei Gao;Xin-Hua Liu;Zheng-Jie Zhang;Rui Cao;Han-Chao Cheng;Ming-Yue Wang;Xiao-Yu Yan;Shi-Chun Yang-.CHAIN:unlocking informatics-aided design of Li metal anode from materials to applications)[J].稀有金属（英文版）,2022(05):1477-1489
A类：
CHAIN,impe,Columbic,oblivion
B类：
unlocking,informatics,aided,metal,from,materials,applications,With,rapid,development,consumer,tronics,electric,vehicles,grid,scale,stationary,energy,storage,high,batteries,are,urgently,demanded,present,Lithium,LMBs,considered,be,one,most,promising,density,devices,have,received,much,atten,due,their,ultra,theoretical,capacity,extremely,low,electrochemical,potential,light,mass,However,critical,issues,such,uncontrollable,lithium,growth,dynamic,changes,volume,interfacial,dance,severe,corrosion,remain,huge,challenges,anodes,which,only,lead,efficiency,but,also,risk,internal,short,circuit,causing,serious,reactions,safety,concerns,that,hinder,practical,Nevertheless,gradually,poised,revival,after,decades,research,tools,nanotechnology,solutions,In,this,various,recent,designs,reviewed,previous,understanding,analysis,Sup,pressing,dendrites,ensuring,long,life,span,through,limited,still,Multi,modeling,methods,concerned,requiring,electrode,Hybrid,multi,machine,learning,proposed,cloud,computing,platform,Computational,information,integrated,artificial,intelligence,Finally,provides,novel,framework,next,generation,digital,data,driven,models,techniques
AB值：
0.573335
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