{"title":"An extended \"five-stream\" model for diffusion of donor and acceptor dopants in Si during the production of ultrashallow π-v junctions","authors":"B. Khina","doi":"10.1117/12.837012","DOIUrl":null,"url":null,"abstract":"The ultrashallow p-n junctions (USJ) in modern VLSI technology are produced by low-energy high-dose ion implantation of donor or acceptor atoms into a Si waver with subsequent rapid thermal annealing (RTA) for healing the lattice defects and electrical activation of the dopants. During RTA, the phenomenon of transient enhanced diffusion (TED) is observed, which hinders obtaining the optimal concentration profile of the dopants and thus the required current-voltage characteristics of USJ. Solving the intricate problem of TED suppression is impossible without mathematical modeling of this complex phenomenon. However, modern software packages such as SUPREM-4 (Silvaco Data Systems), which employ the so-called \"five-stream\" approach, encounter severe difficulties in predicting TED. In this work, an extended \"five-stream\" model for diffusion of implanted dopants in monocrystalline Si during RTA is developed taking into account all the possible charge states of both point defects (vacancies and self-interstitials) and diffusing pairs (\"dopant atom-vacancy\" and \"dopant atom-silicon self-interstitial\"). The sink/source terms describing reactions between differently charged pairs and point defects are derived. New initial conditions are formulated basing on the experimental concentration profiles of dopants determined by the second-ion mass spectrometry and the profiles of \"net\" vacancies and self-interstitials after implantation, which are obtained by Monte-Carlo simulation.","PeriodicalId":117315,"journal":{"name":"Nanodesign, Technology, and Computer Simulations","volume":"22 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nanodesign, Technology, and Computer Simulations","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1117/12.837012","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
The ultrashallow p-n junctions (USJ) in modern VLSI technology are produced by low-energy high-dose ion implantation of donor or acceptor atoms into a Si waver with subsequent rapid thermal annealing (RTA) for healing the lattice defects and electrical activation of the dopants. During RTA, the phenomenon of transient enhanced diffusion (TED) is observed, which hinders obtaining the optimal concentration profile of the dopants and thus the required current-voltage characteristics of USJ. Solving the intricate problem of TED suppression is impossible without mathematical modeling of this complex phenomenon. However, modern software packages such as SUPREM-4 (Silvaco Data Systems), which employ the so-called "five-stream" approach, encounter severe difficulties in predicting TED. In this work, an extended "five-stream" model for diffusion of implanted dopants in monocrystalline Si during RTA is developed taking into account all the possible charge states of both point defects (vacancies and self-interstitials) and diffusing pairs ("dopant atom-vacancy" and "dopant atom-silicon self-interstitial"). The sink/source terms describing reactions between differently charged pairs and point defects are derived. New initial conditions are formulated basing on the experimental concentration profiles of dopants determined by the second-ion mass spectrometry and the profiles of "net" vacancies and self-interstitials after implantation, which are obtained by Monte-Carlo simulation.
现代超大规模集成电路技术中的超浅p-n结(USJ)是通过将供体或受体原子低能量高剂量离子注入到Si波中,然后通过快速热退火(RTA)修复晶格缺陷和电激活掺杂剂来产生的。在RTA过程中,观察到瞬态增强扩散(TED)现象,这阻碍了获得最佳掺杂剂浓度分布,从而阻碍了USJ所需的电流-电压特性。如果没有对这一复杂现象的数学建模,解决TED抑制的复杂问题是不可能的。然而,采用所谓“五流”方法的现代软件包,如SUPREM-4 (Silvaco Data Systems),在预测TED时遇到了严重的困难。在这项工作中,考虑到点缺陷(空位和自间隙)和扩散对(“掺杂原子-空位”和“掺杂原子-硅自间隙”)的所有可能的电荷状态,建立了在RTA过程中注入掺杂剂在单晶Si中扩散的扩展“五流”模型。导出了描述不同带电对和点缺陷之间反应的汇源项。根据二次离子质谱法测定的掺杂剂实验浓度谱和蒙特卡罗模拟得到的注入后的“净”空位和自间隙谱,建立了新的初始条件。