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Efficient energy-conservative dispersive transistor modelling using discrete-time convolution and artificial neural networks
International Journal of Numerical Modelling: Electronic Networks, Devices and Fields ( IF 1.6 ) Pub Date : 2021-05-29 , DOI: 10.1002/jnm.2894
Justin B. King 1
Affiliation  

This paper describes an efficient simulation technique for field-effect transistor devices exhibiting significant frequency dispersive behavior. The device model is formulated such that a single energy function completely describes the channel displacement current, thus imposing charge and energy conservations principles from the outset. It is shown that adherence to energy conservation necessarily implies a reciprocal intrinsic displacement network, which is typically too rigid to follow measured device data. This problem is overcome by considering a frequency dispersive time-delay parameter, which has the effect of allowing nonreciprocal susceptance behavior to be captured by the overall device model. This dispersive time-delay parameter is included within the nonlinear device simulation via an efficient discrete-time convolution.

中文翻译:

使用离散时间卷积和人工神经网络的高效节能色散晶体管建模

本文介绍了一种用于场效应晶体管器件的有效仿真技术,该器件具有显着的频率色散行为。器件模型的公式化使得单个能量函数完全描述了通道位移电流,因此从一开始就强加了电荷和能量守恒原理。结果表明,遵守能量守恒必然意味着相互的内在位移网络,该网络通常过于僵化,无法遵循测量的设备数据。通过考虑频率色散时间延迟参数可以克服这个问题,该参数具有允许整个设备模型捕获非互易电纳行为的效果。通过有效的离散时间卷积,该色散时间延迟参数包含在非线性设备仿真中。
更新日期:2021-05-29
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