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Magnetic reversal and magnetic memory effect in melt-spun Pr_2Fe_(14)B/α-Fe nanocomposite ribbons 被引量:3
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作者 韩广兵 苏浩 +5 位作者 高汝伟 于淑云 康仕寿 朱明刚 李卫 x.b.liu 《Journal of Rare Earths》 SCIE EI CAS CSCD 2015年第12期1303-1309,共7页
The influence of CoCr addition on the microstructure and magnetic properties was investigated in nanocomposite Pr2Fel4B/a-Fe alloys prepared by melt spinning. It was shown that the magnetic properties of Pr2Fel4B/ct-F... The influence of CoCr addition on the microstructure and magnetic properties was investigated in nanocomposite Pr2Fel4B/a-Fe alloys prepared by melt spinning. It was shown that the magnetic properties of Pr2Fel4B/ct-Fe nanocomposite were im- proved by an addition of 10 at.% CoCr, in particular, coercivity (Hc) from 4.9 up to 5.3 kOe, maximum energy product ((BH)max) from 10.6 up to 13.9 MGOe, and remanence (Mr) from 94.2 up to 98.4 emu/g. The field dependencies of the reversible and irreversible magnetization components were derived from the recoil loops. Combining with the initial magnetization curves, the results indi- cated that the pinning of domain walls at the grain boundaries dominated the magnetization reversal in Pr2Fe14B/ct-Fe nanocomposite alloys. The magnetic memory effect was studied by measuring the magnetic moment relaxation at a cycle negative magnetic field with time interval of 600 s. The exchange-spring magnets with magnetic memory effect have a high potential for high density magnetic recording. 展开更多
关键词 magnetization reversal exchange coupling magnetic memory effect nanocomposite alloys COERCIVITY rare earths
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Exit problem of stochastic SIR model with limited medical resource
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作者 Y.C.Mao x.b.liu 《Theoretical & Applied Mechanics Letters》 CAS CSCD 2023年第1期8-13,共6页
Nonlinearity and randomness are both the essential attributes for the real world,and the case is the same for the models of infectious diseases,for which the deterministic models can not give a complete picture of the... Nonlinearity and randomness are both the essential attributes for the real world,and the case is the same for the models of infectious diseases,for which the deterministic models can not give a complete picture of the evolution.However,although there has been a lot of work on stochastic epidemic models,most of them focus mainly on qualitative properties,which makes us somewhat ignore the original meaning of the parameter value.In this paper we extend the classic susceptible-infectious-removed(SIR)epidemic model by adding a white noise excitation and then we utilize the large deviation theory to quantitatively study the long-term coexistence exit problem with epidemic.Finally,in order to extend the meaning of parameters in the corresponding deterministic system,we tentatively introduce two new thresholds which then prove rational. 展开更多
关键词 Stochastic epidemic model Stochastic dynamical system Large deviation theory Exit problem
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