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基于Lee-Low-Pines变分法研究了抛物量子点中二维强耦合磁双极化子的自旋极化基态性质,推导出磁双极化子的基态能量E0和声子平均数珡N随量子点受限强度ω0、介电常数比η、电子-声子耦合强度α和磁场的回旋频率ωc的变化规律。结果表明,磁双极化子的声子平均数珡N随α、ω0和ωc的增加而增大;磁双极化子的基态能量由两电子的单粒子能量Ee、两电子间库伦相互作用能Ec、电子自旋与磁场相互作用能ES、电子-声子相互作用能Ee-ph四部分组成;电子-声子相互作用能Ee-ph总是小于零,其绝对值随α、ω0和ωc的增加而增大,它是束缚态磁双极化子形成的有力因素;限定势和电子之间的库伦排斥能的存在不利于束缚态磁双极化子的形成;电子自旋-磁场相互作用的效应ES导致基态能级的"精细结构"。 相似文献
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库仑场对量子线中极化子激发态性质的影响 总被引:1,自引:1,他引:0
采用Huybrenchts线性组合算符和LLP变换方法,研究了库仑场对抛物量子线中弱耦合极化子激发态性质的影响,计算了束缚极化子的基态能量、第一内部激发态能量、激发能量和振动频率.讨论了这些量对约束强度和库仑束缚势的依赖关系.数值计算结果表明:抛物量子线中弱耦合束缚极化子的第一内部激发态能量、激发能量和振动频率都随约束... 相似文献
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The ethanol content in ethanol-gasoline is respectively detected by the first-order derivative UV/vis absorption spectrum, the first-order derivative near infrared (NIR) absorption spectrum and the information fusion method. The backward interval partial least squares (BiPLS) algorithm is used as the feature extraction method, which is established by the partial least squares (PLS) regression model. Based on the information fusion theory, the low level data fusion (LLDF) and mid-level data fusion (MLDF) models are established by the first-order derivative UV/vis and NIR spectra. The analytical results are compared with the related textual references. Thereby, the single-spectral model based on the first-order derivative NIR absorption spectrum has the optimal results, where R p 2 =0.999 1 and RMSEP=0.324 5, while the LLDF after vector normalization (LLDF-VN2) is the optimal multi-spectral fusion model, where R p 2 =0.998 3 and RMSEP=0.498 2. The proposed method can be used to detect the ethanol content in ethanol-gasoline rapidly and provides a better choice for the component detection in mixed oils. 相似文献
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