典型文献
Vision for energy material design:A roadmap for integrated data-driven modeling
文献摘要：
1.Introduction Increasing energy demand has led to a diverse suite of advances in the field of energy materials(e.g.,electrodes,catalysts)[1].Recently,theoretical and computational techniques,such as den-sity functional theory(DFT),have become increasingly essential for interpreting experimental phenomena and providing the mech-anistic understanding necessary to design more effective energy materials[2].
文献关键词：
中图分类号：
作者姓名：
Zhilong Wang;Yanqiang Han;Junfei Cai;An Chen;Jinjin Li
作者机构：
Key Laboratory of Thin Film and Microfabrication of Ministry of Education,Department of Micro/Nano Electronics,Shanghai Jiao Tong University,Shanghai 200240,China
文献出处：
引用格式：
[1]Zhilong Wang;Yanqiang Han;Junfei Cai;An Chen;Jinjin Li-.Vision for energy material design:A roadmap for integrated data-driven modeling)[J].能源化学,2022(08):56-62
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Vision,energy,design,roadmap,integrated,data,driven,modeling,Introduction,Increasing,demand,has,led,diverse,suite,advances,field,materials,electrodes,catalysts,Recently,theoretical,computational,techniques,such,den,sity,functional,theory,DFT,have,become,increasingly,essential,interpreting,experimental,phenomena,providing,mech,anistic,understanding,necessary,more,effective
AB值：
0.803556
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