A Fast Forward Prediction Framework for Energy Materials Design Based on Machine Learning MethodsOA
A Fast Forward Prediction Framework for Energy Materials Design Based on Machine Learning Methods
Xinhua Liu;Kaiyi Yang;Lisheng Zhang;Wentao Wang;Sida Zhou;Billy Wu;Mengyu Xiong;Shichun Yang;Rui Tan
School of Transportation Science and Engineering,Beihang University,Beijing 102206,ChinaSchool of Transportation Science and Engineering,Beihang University,Beijing 102206,ChinaSchool of Transportation Science and Engineering,Beihang University,Beijing 102206,ChinaSchool of Transportation Science and Engineering,Beihang University,Beijing 102206,ChinaSchool of Transportation Science and Engineering,Beihang University,Beijing 102206,ChinaDyson School of Design Engineering,Imperial College London,London SW7 2AZ,UKSchool of Transportation Science and Engineering,Beihang University,Beijing 102206,ChinaSchool of Transportation Science and Engineering,Beihang University,Beijing 102206,ChinaEnergy Innovation Centre,Warwick Manufacturing Group,University of Warwick,Coventry CV5 7AL,UK||Department of Chemical Engineering,Swansea University,Swansea SA1 8EN,UK
《能源材料前沿（英文）》 2026 (1)
41-59,19
This work was financially supported by the Defense Industrial Technology Development Program(JCKY2021-601B019).
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