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Steady-state and transient electronic transport properties of β-(AlxGa1-x)2O3/Ga2O3 heterostructures: An ensemble Monte Carlo simulation
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The steady-state and transient electron transport properties of $\beta $-(Al$_{x}$Ga$_{1-x}$)$_{2}$O$_{3}$/Ga$_{2}$O$_{3}$ heterostructures were investigated by Monte Carlo simulation with the classic three-valley model. In particular, the electronic band structures were acquired by first-principles calculations, which could provide precise parameters for calculating the transport properties of the two-dimensional electron gas (2DEG), and the quantization effect was considered in the $\varGamma $ valley with the five lowest subbands. Wave functions and energy eigenvalues were obtained by iteration of the Schrödinger-Poisson equations to calculate the 2DEG scattering rates with five main scattering mechanisms considered. The simulated low-field electron mobilities agree well with the experimental results, thus confirming the effectiveness of our models. The results show that the room temperature electron mobility of the $\beta $-(Al$_{0.188}$Ga$_{0.812}$)$_{2}$O$_{3}$/Ga$_{2}$O$_{3}$ heterostructure at 10 kV$ \cdot$cm$^{-1}$ is approximately 153.669 cm$^{2}\cdot$V$^{-1}\cdot$s$^{-1}$, and polar optical phonon scattering would have a significant impact on the mobility properties at this time. The region of negative differential mobility, overshoot of the transient electron velocity and negative diffusion coefficients are also observed when the electric field increases to the corresponding threshold value or even exceeds it. This work offers significant parameters for the $\beta$-(Al$_{x}$Ga$_{1-x}$)$_{2}$O$_{3}$/Ga$_{2}$O$_{3}$ heterostructure that may benefit the design of high-performance $\beta$-(Al$_{x}$Ga$_{1-x}$)$_{2}$O$_{3}$/Ga$_{2}$O$_{3}$ heterostructure-based devices. 相似文献
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应用局部神经网络和可见/近红外光谱法估测土壤有效氮磷钾 总被引:2,自引:0,他引:2
要实现农田合理施肥,需要对土壤养分状况进行实时、准确地诊断,因而建立快速、稳定可靠的土壤养分定量分析方法是关键。光谱分析是一种有很大潜力的快速分析方法,从可见/近红外光谱建模的几个重要环节,即特征波段、预处理方法及回归模型方法的选择,研究了土壤有效氮、磷、钾含量快速估测的光谱建模方法。采用了多元散射校正加一阶导数进行光谱预处理,通过逐波段相关分析在可见-近红外区优选特征波段,并应用了局部非线性回归方法(BP神经网络局部回归法)建模,所建模型对土壤有效氮、磷、钾含量估测的相关系数r分别为0.90,0.82和0.94,BP神经网络局部建模比全局建模具有更好的精度和稳定性,估测精度提高幅度分别为40.63%,28.64%,22.90%。因此,采用局部BP神经网络回归建模法建立土壤有效氮、磷、钾的光谱定量分析模型,可实现对土壤养分状况的快速诊断。该研究的创新点是通过采用局部非线性回归方法提高了土壤光谱营养诊断模型的稳定性和可靠性,为作物生长过程中不同生长时期的土壤养分的动态监测和过程控制提供了技术支持。 相似文献
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