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First‑principles study on electronic structure,optical and magnetic properties of rare earth elements X(X=Sc,Y,La,Ce,Eu)doped with two‑dimensional GaSe
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作者 QIU Shenhao XIAO Qingquan +1 位作者 TANG Huazhu XIE Quan 《无机化学学报》 SCIE CAS CSCD 北大核心 2024年第11期2250-2258,共9页
The electronic structure,magnetic,and optical properties of two-dimensional(2D)GaSe doped with rare earth elements X(X=Sc,Y,La,Ce,Eu)were calculated using the first-principles plane wave method based on den-sity funct... The electronic structure,magnetic,and optical properties of two-dimensional(2D)GaSe doped with rare earth elements X(X=Sc,Y,La,Ce,Eu)were calculated using the first-principles plane wave method based on den-sity functional theory.The results show that intrinsic 2D GaSe is a p-type nonmagnetic semiconductor with an indi-rect bandgap of 2.6611 eV.The spin-up and spin-down channels of Sc-,Y-,and La-doped 2D GaSe are symmetric,they are non-magnetic semiconductors.The magnetic moments of Ce-and Eu-doped 2D GaSe are 0.908μ_(B)and 7.163μ_(B),which are magnetic semiconductors.Impurity energy levels appear in both spin-up and spin-down chan-nels of Eu-doped 2D GaSe,which enhances the probability of electron transition.Compared with intrinsic 2D GaSe,the static dielectric constant of the doped 2D GaSe increases,and the polarization ability is strengthened.The ab-sorption spectrum of the doped 2D GaSe shifts in the low-energy direction,and the red-shift phenomenon occurs,which extends the absorption spectral range.The optical reflection coefficient of the doped 2D GaSe is improved in the low energy region,and the improvement of Eu-doped 2D GaSe is the most obvious. 展开更多
关键词 first principle two-dimensional GaSe electronic structure magnetic property optical property
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麻核桃相似度匹配算法
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作者 王阳 丁召 +1 位作者 丁才富 杨晨 《信息记录材料》 2020年第8期145-146,共2页
为实现麻核桃相似度的识别,设计了一种麻核桃相似度匹配算法。首先,在同尺寸核桃中利用傅里叶算子及Tamura算法对核桃轮廓特征、纹理特征进行了量化。其次,根据任意两只核桃间轮廓、纹理特征距离对其实现相似度匹配。经过实验,相似度匹... 为实现麻核桃相似度的识别,设计了一种麻核桃相似度匹配算法。首先,在同尺寸核桃中利用傅里叶算子及Tamura算法对核桃轮廓特征、纹理特征进行了量化。其次,根据任意两只核桃间轮廓、纹理特征距离对其实现相似度匹配。经过实验,相似度匹配算法则可以实现将混杂在不同核桃中的市售成对商品核桃成功识别。 展开更多
关键词 麻核桃 相似度匹配 机器视觉
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