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A numerical model of GaAs MESFETs including energy balance for microwave applications

机译:GaAs MESFET的数值模型,包括用于微波应用的能量平衡

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摘要

A novel decoupled solver has been developed that allows larger time steps than conventional decoupled Gummel algorithms and is less central processing unit (CPU) memory and time intensive than coupled Newton solvers. The order in which the quasi-hydrodynamic equations are solved exploits the large difference between the energy relaxation time, (typically 0.5 ps), and the dielectric relaxation time, tau /sub d/ (10 fs). The new decoupled scheme is numerically stable for time steps as large as 20* tau /sub d/. This makes it possible to reduce Cray Y-MP CPU times by 5-7 times compared to those required by conventional Gummel algorithms. This algorithm allows efficient analysis of GaAs MESFETs to study phenomena such as carrier heating near the drain, Gunn domain formation, and carrier injection into the semi-insulating substrate.
机译:已经开发了一种新颖的解耦解算器,该解耦解算器比常规解耦的Gummel算法具有更长的时间步长,并且与耦合的牛顿解算器相比,中央处理器(CPU)的内存更少且时间密集。拟流体力学方程的求解顺序利用了能量弛豫时间(通常为0.5 ps)和介电弛豫时间tau / sub d /(10 fs)之间的巨大差异。对于时间步长高达20 * tau / sub d /,新的解耦方案在数值上是稳定的。与传统的Gummel算法所需的时间相比,这可以将Cray Y-MP CPU时间减少5-7倍。该算法可对GaAs MESFET进行有效分析,以研究诸如漏极附近的载流子发热,耿氏域形成以及载流子注入半绝缘衬底等现象。

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