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Regularization Algorithm for DOS Spectrum Deconvolution From C(V) and Q(V)Dependencies of Si Nanowire-Based MOS Structure

机译:基于硅纳米线的MOS结构的C(V)和Q(V)依赖性的DOS频谱反卷积的正则化算法

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Based on Tikhonov's regularization approach, we developed regularization algorithm (RA) for deconvolution electron spectrum N(E) from data of capacitance - gate voltage [C(V)] and charge-gate voltage [Q(VJ] characteristics of nanowire-based FETs. Our RA solves one-dimensional ill-posed Fredholm integral equations) of the second kind employing analytical properties of Fourier integral transform. The N(E) functions for CB states deconvolved from C(V) characteristics exhibit good quantitative agreement with DOS spectrum, obtained earlier [S.-K. Chin, V. Ligatchev, IEEE Electron Device Letters, 30, 395 (2009)] by Schrodinger-Poisson simulations for FETs with cylindrical Si NW cores and radii of 10 nm at temperatures 38 K.
机译:基于Tikhonov的正则化方法,我们从基于纳米线的FET的电容-栅极电压[C(V)]和电荷-栅极电压[Q(VJ])特性数据中开发了用于反卷积电子谱N(E)的正则化算法(RA) 。我们的RA利用傅立叶积分变换的解析性质,求解了第二种一维病态Fredholm积分方程。从C(V)特性反卷积的CB状态的N(E)函数与DOS光谱表现出良好的定量一致性,这在早期得到了[S.-K. [Chin,V. Ligatchev,IEEE电子设备快报,30,395(2009)]通过Schrodinger-Poisson仿真,对温度为38 K的具有圆柱形Si NW磁芯且半径为10 nm的FET进行了研究。

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