The exchange coupling at the ferromagnetic/antiferromagnetic （FM/AFM） interface is influenced by both the magnetic structure and the crystalline micro-structure. Co/FeMn/Co thin films with 0.4 nm Pt spacer layer ins...The exchange coupling at the ferromagnetic/antiferromagnetic （FM/AFM） interface is influenced by both the magnetic structure and the crystalline micro-structure. Co/FeMn/Co thin films with 0.4 nm Pt spacer layer inserted into the Co/FeMn and FeMn/Co interface respectively were deposited by means of magnetron sputtering. The two interfaces upon and beneath the FeMn layer show distinct behaviors before and after the Pt spacer inserted. There is a remarkable shrink of the interracial uncompensated spins within the FeMn bottom interracial monolayers, whereas a relaxation of the pinning strength of the FeMn interfacial spins along the out-of-plane direction occurs at the top in- terface. XRD analysis indicates the Pt layer upon the FeMn layer forms an fcc （002） texture, implying the magnetic discrepancy between the top and bottom FeMn interfaces has crystalline structural origins.展开更多
Nanogranular Ti(3 nm)/Ni(30 nm)/Ti(t nm )(t=1,3,5,7,10) films were prepared by facing magnetron sputtering from Ti and Ni onto glass substrates at room temperature.The structural and magnetic properties of films stron...Nanogranular Ti(3 nm)/Ni(30 nm)/Ti(t nm )(t=1,3,5,7,10) films were prepared by facing magnetron sputtering from Ti and Ni onto glass substrates at room temperature.The structural and magnetic properties of films strongly depended on the Ti layer thickness.X-ray diffraction(XRD) patterns of all as-deposited films showed strong FCC Ni(111) peak.Vibrating sample magnetometer(VSM) measurements indicated that the perpendicular coercivity of the Ti(3 nm)/Ni(30 nm)/Ti(3 nm) film reached about 36 kA/m.With the increase of Co layer thickness,coercivity(Hc) first increased and then decreased.The grain size and magnetic clusters slightly increased and the value of roughness(Ra) was smallest at t=3 nm.展开更多
基于Pope修正的有效黏度假设,张量基神经网络(tensor based neural network,TBNN)构建了从雷诺平均方程湍流模型(RANS)的平均应变率张量和平均旋转率张量到高精度数值解的雷诺应力各向异性张量的映射.将高精度数值解用于TBNN的训练,从而...基于Pope修正的有效黏度假设,张量基神经网络(tensor based neural network,TBNN)构建了从雷诺平均方程湍流模型(RANS)的平均应变率张量和平均旋转率张量到高精度数值解的雷诺应力各向异性张量的映射.将高精度数值解用于TBNN的训练,从而使TBNN根据RANS求解的湍动能、湍流耗散率和速度梯度预测其雷诺应力各向异性张量,并与对应的高精度数值模拟结果以及风洞实验结果对比以评估TBNN的预测能力.本工作将TBNN的预测能力从低速域拓展至高超声速工况,分别对低速槽道流、低速NACA0012翼型以及高超声速平板边界层3种工况进行了小样本的训练并成功预测,并以槽道流训练的TBNN较好地预测了低速平板边界层,验证了模型的泛化能力.对于外推的低速槽道流算例,TBNN预测的结果在y^(+)>5的区域与直接数值模拟(DNS)以及实验的误差均在10%以内,预测结果揭示了TBNN对雷诺应力各向异性张量的良好预测能力;对于翼型的预测效果尽管相较于槽道流略有下降,但近壁关键区域较RANS结果仍有显著提升;对于高超声速平板,TBNN在边界层内展现出了良好的预测能力,在y^(+)>5的区域与DNS的误差同样在10%以内.基于Pope本构关系的TBNN方法在平板的高超声速工况下仍能较准确预测边界层内的雷诺应力各向异性张量,方法在宽速域下的预测能力具有较好的表现,且模型泛化能力亦得到了验证.展开更多
基金supported by the National Natural Science Foundation of China(Nos.50871014,50831002,50971021,50901007,and 2102014)the Funding Project for Academic Human Resources Development in Institutions of Higher Learning under the Jurisdiction of Beijing Municipality(No.PHR201007122)the New Teachers Foundation of the Ministry of Education of China(No.200800081030)
文摘The exchange coupling at the ferromagnetic/antiferromagnetic （FM/AFM） interface is influenced by both the magnetic structure and the crystalline micro-structure. Co/FeMn/Co thin films with 0.4 nm Pt spacer layer inserted into the Co/FeMn and FeMn/Co interface respectively were deposited by means of magnetron sputtering. The two interfaces upon and beneath the FeMn layer show distinct behaviors before and after the Pt spacer inserted. There is a remarkable shrink of the interracial uncompensated spins within the FeMn bottom interracial monolayers, whereas a relaxation of the pinning strength of the FeMn interfacial spins along the out-of-plane direction occurs at the top in- terface. XRD analysis indicates the Pt layer upon the FeMn layer forms an fcc （002） texture, implying the magnetic discrepancy between the top and bottom FeMn interfaces has crystalline structural origins.
基金Project supported by the National Natural Science Foundation of China (10847119)the Natural Science Foundation of Hebei Proince (A2009000254, A2010001942)+1 种基金the Foundation of Hebei Provincial Education Department (Z2010167)the Foundation of Key Laboratory of Solar Activity of National Astronomical Observatories of Chinese Academemy of Sciences (KLSA2010-06)
文摘Nanogranular Ti(3 nm)/Ni(30 nm)/Ti(t nm )(t=1,3,5,7,10) films were prepared by facing magnetron sputtering from Ti and Ni onto glass substrates at room temperature.The structural and magnetic properties of films strongly depended on the Ti layer thickness.X-ray diffraction(XRD) patterns of all as-deposited films showed strong FCC Ni(111) peak.Vibrating sample magnetometer(VSM) measurements indicated that the perpendicular coercivity of the Ti(3 nm)/Ni(30 nm)/Ti(3 nm) film reached about 36 kA/m.With the increase of Co layer thickness,coercivity(Hc) first increased and then decreased.The grain size and magnetic clusters slightly increased and the value of roughness(Ra) was smallest at t=3 nm.
基金Supported by National Natural Science Foundation of China(11072104)Inner Mongolia Nature Science Fouudation(2012MS0110)+1 种基金Science and Technology Innovation Team of Inner Mongolia University(10013-12110605)Scientific Research Startup Fund of Inner Mongolia University(207057)
文摘基于Pope修正的有效黏度假设,张量基神经网络(tensor based neural network,TBNN)构建了从雷诺平均方程湍流模型(RANS)的平均应变率张量和平均旋转率张量到高精度数值解的雷诺应力各向异性张量的映射.将高精度数值解用于TBNN的训练,从而使TBNN根据RANS求解的湍动能、湍流耗散率和速度梯度预测其雷诺应力各向异性张量,并与对应的高精度数值模拟结果以及风洞实验结果对比以评估TBNN的预测能力.本工作将TBNN的预测能力从低速域拓展至高超声速工况,分别对低速槽道流、低速NACA0012翼型以及高超声速平板边界层3种工况进行了小样本的训练并成功预测,并以槽道流训练的TBNN较好地预测了低速平板边界层,验证了模型的泛化能力.对于外推的低速槽道流算例,TBNN预测的结果在y^(+)>5的区域与直接数值模拟(DNS)以及实验的误差均在10%以内,预测结果揭示了TBNN对雷诺应力各向异性张量的良好预测能力;对于翼型的预测效果尽管相较于槽道流略有下降,但近壁关键区域较RANS结果仍有显著提升;对于高超声速平板,TBNN在边界层内展现出了良好的预测能力,在y^(+)>5的区域与DNS的误差同样在10%以内.基于Pope本构关系的TBNN方法在平板的高超声速工况下仍能较准确预测边界层内的雷诺应力各向异性张量,方法在宽速域下的预测能力具有较好的表现,且模型泛化能力亦得到了验证.
