首页> 外国专利> The selection manner of the parameter which renders the high impurity concentration distribution with ion implantation and in

The selection manner of the parameter which renders the high impurity concentration distribution with ion implantation and in

机译:离子注入和杂质注入时呈现高杂质浓度分布的参数选择方式

摘要

PROBLEM TO BE SOLVED: To provide a method and program by which a parameter for simulation of an impurity concentration distribution produced by ion implantation can be extracted highly accurately.;SOLUTION: In the method of extracting the parameter for simulation of the impurity concentration distribution produced by ion implantation based on measurement data of the impurity concentration distribution, a partial region of the measurement data in which the concentration variation of the impurity concentration distribution is small is extracted as data (10A) to be matched and the integrated value of the concentration of the data (10A) to be matched in the depth direction is normalized to a prescribed value. Then the theoretical impurity concentration distribution value pattern-matched to the normalized data (10C) to be matched among the theoretical impurity concentration distribution values (20) specified by the parameter is detected, and the parameter corresponding to the detected theoretical impurity concentration distribution value is extracted. Since the data (10A) to be matched are normalized, the extracting accuracy of the parameter can be improved.;COPYRIGHT: (C)2005,JPO&NCIPI
机译:解决的问题:提供一种方法和程序,通过该方法和程序可以高精度地提取用于模拟离子注入产生的杂质浓度分布的参数。解决方案:在提取用于模拟所产生的杂质浓度分布的参数的方法中通过基于杂质浓度分布的测量数据的离子注入,提取测量数据中杂质浓度分布的浓度变化小的部分区域作为要匹配的数据(10A),并且将浓度的积分值进行匹配。在深度方向上要匹配的数据(10A)被标准化为规定值。然后,检测在参数所指定的理论杂质浓度分布值(20)中与要匹配的归一化数据(10C)进行模式匹配的理论杂质浓度分布值,并且,与检测到的理论杂质浓度分布值相对应的参数为提取。由于将要匹配的数据(10A)进行了归一化,因此可以提高参数的提取精度。;版权所有:(C)2005,JPO&NCIPI

著录项

  • 公开/公告号JP4629317B2

    专利类型

  • 公开/公告日2011-02-09

    原文格式PDF

  • 申请/专利权人 富士通株式会社;

    申请/专利号JP20030205435

  • 发明设计人 鈴木 邦広;小島 修一;

    申请日2003-08-01

  • 分类号H01L21/265;H01L21/00;H01L21/66;

  • 国家 JP

  • 入库时间 2022-08-21 18:16:47

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