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ON-/OFF-STATE DESIGN OF SEMICONDUCTOR DOPING PROFILES

机译:半导体掺杂曲线的通/断状态设计

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We consider the multi-objective optimal dopant profiling of semiconductor devices. The two objectives are to gain a higher on-state current while the or-state current is kept small. This design question is treated as a constrained optimization problem,where the constraints are given by the stationary drift-diffusion model for the on-state and the linearized drift-diffusion model for the or-state. Using the doping profile as a state variable and the electrostatic potential as the new design variable,we obtain a simpler optimization problem,whose Karush-Kuhn-Tucker conditions partially decouple. Based on this observation we can construct a very efficient iterative optimization algorithm, which avoids solving the fully coupled drift-diffusion system. Due to the simple structure of the adjoint equations,this algorithm can be easily included into existing semi conductor simulation tools. The efficiency and success of this multi-objective design approach is underlined by various numerical examples.
机译:我们考虑半导体器件的多目标最佳掺杂物轮廓。两个目标是在使或态电流保持较小的同时获得更高的导通状态电流。该设计问题被视为约束优化问题,其中约束由通态的稳态漂移扩散模型和或状态的线性化漂移扩散模型给出。使用掺杂分布作为状态变量,将静电势作为新的设计变量,我们获得了一个更简单的优化问题,其Karush-Kuhn-Tucker条件部分解耦。基于此观察,我们可以构造一个非常有效的迭代优化算法,从而避免求解完全耦合的漂移扩散系统。由于伴随方程的简单结构,该算法可以轻松地包含在现有的半导体仿真工具中。各种数值示例强调了这种多目标设计方法的效率和成功。

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