机译:基于机器学习的热电材料的内部和带特性的相关性分析(Vol 8,PG 13079,2020)
Tsinghua Univ Sch Mat Sci &
Engn State Key Lab New Ceram &
Fine Proc Beijing 100084 Peoples R China;
Tsinghua Univ Sch Mat Sci &
Engn State Key Lab New Ceram &
Fine Proc Beijing 100084 Peoples R China;
Beijing Univ Posts &
Telecommun Sch Sci Beijing Peoples R China;
Beijing Univ Posts &
Telecommun Sch Sci Beijing Peoples R China;
Wuhan Univ Technol Int Sch Mat Sci &
Engn Ctr Smart Mat &
Device Integrat State Key Lab Adv Technol Mat Synth &
Proc Wuhan 430070 Peoples R China;
Xiamen Univ Software Sch Xiamen 361005 Peoples R China;
Xiamen Univ Software Sch Xiamen 361005 Peoples R China;
Tsinghua Univ Sch Mat Sci &
Engn State Key Lab New Ceram &
Fine Proc Beijing 100084 Peoples R China;
机译:基于机器学习的热电材料的内部和带特性的相关性分析(Vol 8,PG 13079,2020)
机译:用MALDI-FT-ICR-MS分析树脂材料的方法开发:新型内标和负离子模式的新型基质材料(Vol 52,PG 603,2017)
机译:p型Bi_(0.5)Sb_(1.5)Te_3热电材料的热电性能与塑性变形的相关性
机译:横向结构热电材料局部和全局热电性能的相关性
机译:结构与热电性能之间的相关性:寻找更好的热电材料
机译:使用电导率与热导率负相关的二维材料的热电材料
机译:有机热电材料:纳米级有机热电材料:测量,理论模型和优化策略(ADV。Funct。Matter。8/2020)