Recently, a numerical model has been developed for describing bipolar charge transport with two levels of traps (shallow and deep traps) in low density polyethylene (LDPE). This paper presents an optimization method, which is based on trust region algorithm. However, the enterprise has to be done with laying out the determination of physical parameters pertaining to bipolar charge transport model. Experimental data that have been used are net density charge measured by the pulse electro acoustic method (PEA) along with what is known as external charging current measurements. Simulated data are computed by the bipolar charge transport model, which is developed for LDPE. In essence, this paper sheds the light on the advanced algorithm that can give rise to a unique set of parameters for the model. Parameters will be reckoned using two different cost functions depending on current density and charge density data's. Conclusions on the best-to-use cost function are presented.

中文翻译：

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数值优化应用信任域算法优化低密度聚乙烯电荷传输模型相关参数

最近，已经开发出一种数值模型来描述低密度聚乙烯 (LDPE) 中具有两级陷阱（浅陷阱和深陷阱）的双极电荷传输。本文提出了一种基于信任域算法的优化方法。然而，企业必须完成与双极电荷传输模型相关的物理参数的确定。已使用的实验数据是通过脉冲电声法 (PEA) 测量的净密度电荷以及所谓的外部充电电流测量。模拟数据由双极电荷传输模型计算，该模型是为 LDPE 开发的。从本质上讲，本文阐明了可以为模型生成一组独特参数的高级算法。根据电流密度和电荷密度数据，将使用两种不同的成本函数来计算参数。给出了关于最佳使用成本函数的结论。