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Influence of ion species ratio on the characteristic of sheath with dielectric target for plasma sou
[会议论文] 作者：X.C.Li,Y.N.Wang,
来源：9th Asia-Pacific Conference on Plasma Science and Technology 年份：2008
...
Influence of ion species ratio on the characteristic of sheath with dielectric target for plasma sou
[会议论文] 作者：X.C.Li,Y.N.Wang,
来源：9th Asia-Pacific Conference on Plasma Science and Technology 年份：2008
...
Characteristics and Diagnosis of Atmospheric Pressure Glow Discharge in a Coaxial Dielectric Barrier
[会议论文] 作者：X.C.LI,N.ZHAO,L.F.DONG,
来源：9th Asia-Pacific Conference on Plasma Science and Technology 年份：2008
...
Characteristics and Diagnosis of Atmospheric Pressure Glow Discharge in a Coaxial Dielectric Barrier
[会议论文] 作者：X.C.LI,N.ZHAO,L.F.DONG,
来源：9th Asia-Pacific Conference on Plasma Science and Technology 年份：2008
...
[期刊论文] 作者：Y.H.Tang,X.C.Li,J.L.Li,L.W.Lin,
来源：纳微快报：英文版 年份：2010
Our work reported that the so-called pure carbon nanotubes(CNTs)can be synthesized without metallic catalyst by chemical vapor deposition(CVD).The as-prepared C...
[期刊论文] 作者：X.C.Li,W.X.Zhu,G.Chen,D.S.Mei,,
来源：金属学报：英文版 年份：2003
An artificial neural networks(ANNs) based gear material selection hybrid intelligent system is established by analyzing the individual advantages and weakness o...
[期刊论文] 作者：X.C.Li,W.X.Zhu,G.Chen,D.S.Mei,,
来源：金属学报 年份：2004
An artificial neural networks(ANNs) based gear material selection hybrid intelligent system is established by analyzing the individual advantages and weakness o...
[会议论文] 作者：W.W.Lei,X.C.Li,Q.Chen,Z.D.Wang,
来源：The 8th Asian-European International Conference on Plasma Su 年份：2011
...
[期刊论文] 作者：Y.H.Tang,X.C.Li,J.L.Li,L.W.Lin,H.F.Xu,B.Y.Huang,,
来源：Nano-Micro Letters 年份：2010
Our work reported that the so-called pure carbon nanotubes(CNTs)can be synthesized without metallic catalyst by chemical vapor deposition(CVD).The as-prepared C...
Machine learning guided automatic recognition of crystal boundaries in bainitic/martensitic alloy an
[期刊论文] 作者：X.C.Li,J.X.Zhao,J.H.Cong,R.D.K.Misra,X.M.Wang,X.L.Wang,C.J.Shang,
来源：材料科学技术（英文版） 年份：2021
Gradient boosting decision tree(GBDT)machine learning(ML)method was adopted for the first time to automatically recognize and conduct quantitative statistical analysis of boundaries in bainitic microstruc-ture using electron back-scatter di......
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