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Prediction of breakdown in ultrathin SiO_2 films with fractal distribution of traps

机译:捕集阱分形分布预测超薄SiO_2薄膜的击穿

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摘要

An approach to modeling of thin SiO_2 film degradation based on fractal distribution of traps is presented, which shows a high predictive power for ultrathin oxides breakdown. The fractal patterns of traps are produced by a modified version of the diffusion limited aggregation (DLA) model introduced in literature as to describe irreversible colloidal aggregation. In the present version of the DLA model, the trap generation in SiO_2 is not random. It occurs at an interface or the trap aggregates to another existing trap. The movement probabilities of particles creating traps are defined through two parameters, which describe the lateral and straight movement. The two parameter values have been set as to obtain a certain fractal dimension (1.7) derived from optical inspections on dielectrics already reported in literature. The model has been calibrated using breakdown data obtained on samples fabricated ad hoc. It is coherent with the Weibull statistics describing the oxide film failure. Finally, the results of the model have been compared with experimental data of breakdown taken from literature.
机译:提出了一种基于陷阱的分形分布对SiO_2薄膜降解进行建模的方法,该方法对超薄氧化物的分解具有很高的预测能力。陷阱的分形图案是由文献中介绍的扩散受限聚集(DLA)模型的修改版产生的,该模型描述了不可逆的胶体聚集。在当前版本的DLA模型中,SiO_2中的陷阱生成不是随机的。它发生在接口上,或者陷阱聚合到另一个现有陷阱。通过两个参数定义了产生陷阱的粒子的运动概率,这两个参数描述了横向运动和直线运动。设置两个参数值是为了获得一定的分形维数(1.7),该分形维数是从文献中已经报道的电介质光学检查得出的。该模型已使用从临时制造的样本中获得的故障数据进行了校准。这与描述氧化膜破坏的威布尔统计数据是一致的。最后,将模型的结果与从文献中获得的分解实验数据进行了比较。

著录项

  • 来源
    《Journal of Applied Physics》 |2009年第6期|063708.1-063708.4|共4页
  • 作者

    F. Russo; G. Badolato; F. lrrera;

  • 作者单位

    Micron Technology Italia, Via Pacinotti 5/7, 67051 Avezzano, Italy;

    Dipartimento di Ingegneria Elettronica and IUNET (Italian University NanoElectronics Team), Universita di Roma 'La Sapienza,' Via Eudossiana 18-00184 Roma, Italy;

    Dipartimento di Ingegneria Elettronica and IUNET (Italian University NanoElectronics Team), Universita di Roma 'La Sapienza,' Via Eudossiana 18-00184 Roma, Italy;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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