期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Size-dependent exchange bias in single phase Mn_3O_4 nanoparticles
1
作者 王松伟 张鑫 +1 位作者 姚蓉 饶光辉 《Chinese Physics B》 SCIE EI CAS CSCD 2016年第11期502-506,共5页
Glassy magnetic behavior and exchange bias phenomena are observed in single phase Mn3O4 nanoparticles.Dynamics scaling analysis of the ac susceptibility and the Henkel plot indicate that the observed glassy behavior a... Glassy magnetic behavior and exchange bias phenomena are observed in single phase Mn3O4 nanoparticles.Dynamics scaling analysis of the ac susceptibility and the Henkel plot indicate that the observed glassy behavior at low temperature can be understood by taking into account the intrinsic behavior of the individual particles consisting of a ferrimagnetic(FIM) core and a spin-glass surface layer.Field-cooled magnetization hysteresis loops display both horizontal and vertical shifts.Dependence of the exchange bias field(HE) on the cooling field shows an almost undamped feature up to 70 kOe,indicating the stable exchange bias state in Mn3O4.HE increases as the particle size decreases due to the higher surface/volume ratio.The occurrence of the exchange bias can be attributed to the pinning effect of the frozen spin-glass surface layer upon the FIM core. 展开更多
关键词 magnetization attributed hysteresis susceptibility cooled scaling understood frozen intrinsic sharply
下载PDF
SIGNAL DETECTION OF GLOBAL CLIMATE CHANGE AND EXTERNAL FORCING FACTORS
2
作者 李晓东 王在文 侯章栓 《Acta meteorologica Sinica》 SCIE 2001年第4期397-406,共10页
In this paper,we displayed one-dimensional climate signals,such as global temperature variation,Southern Oscillation Index and variation of external forcing factors,on a two- dimensional time-scale plane using compact... In this paper,we displayed one-dimensional climate signals,such as global temperature variation,Southern Oscillation Index and variation of external forcing factors,on a two- dimensional time-scale plane using compactly supported wavelet decomposition.Using the lag- correlation analysis method,and interpretative variance analysis method,and phase comparison method to the wavelet analysis result,we not only gained the variation on different scales to the global temperature and El Nino signals,the location of the jump point and intrinsic scale of these series,but also indicated the magnitude,extent and time of the effect of external forcing factors on them.We also put forward reasonable explanation to the main variation of recent 140 years. 展开更多
关键词 climate change signal detection compactly supported B-spline wavelet analysis JUMP POINT intrinsic scale
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部