{"id":36015,"date":"2018-07-01T23:20:55","date_gmt":"2018-07-01T23:20:55","guid":{"rendered":"https:\/\/silvaco.com\/%e6%9c%aa%e5%88%86%e7%b1%bb\/an-empirical-composition-dependent-model-of-dopant-diffusion-coefficients-in-si-si1-x-gex-and-ge-material-systems\/"},"modified":"2021-10-13T09:44:46","modified_gmt":"2021-10-13T16:44:46","slug":"an-empirical-composition-dependent-model-of-dopant-diffusion-coefficients-in-si-si1-x-gex-and-ge-material-systems","status":"publish","type":"post","link":"https:\/\/silvaco.com\/zh-hans\/simulation-standard\/an-empirical-composition-dependent-model-of-dopant-diffusion-coefficients-in-si-si1-x-gex-and-ge-material-systems\/","title":{"rendered":"An Empirical Composition Dependent Model of Dopant Diffusion Coefficients in Si, Si1-x Gex and Ge Material Systems"},"content":{"rendered":"<div id='template_overview'  class='avia-section main_color avia-section-small avia-no-border-styling  avia-bg-style-scroll  avia-builder-el-0  el_before_av_section  avia-builder-el-first   container_wrap fullsize' style='background-color: #ffffff;  margin-top:0px; margin-bottom:0px; '  ><div class='container' ><main  role=\"main\" itemprop=\"mainContentOfPage\"  class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-36015'><div class='entry-content-wrapper clearfix'>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' style='margin-top:20px; margin-bottom:0px; '><div class=\"flex_column av_three_fourth  flex_column_table_cell av-equal-height-column av-align-top first  avia-builder-el-1  el_before_av_one_fourth  avia-builder-el-first  \" style='padding:0px 0px 0px 0px ; border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/BlogPosting\" itemprop=\"blogPost\" ><div class='avia_textblock  '   itemprop=\"text\" ><h1 align=\"center\">An Empirical Composition Dependent Model of Dopant Diffusion Coefficients in Si, Si<sub>1-x<\/sub>\u00a0Ge<sub>x<\/sub>\u00a0and Ge Material Systems<\/h1>\n<p><strong>I. INTRODUCTION<\/strong><\/p>\n<p>Previously published fast empirical models for diffusion coefficients in silicon-germanium\u00a0<em>(Si<\/em><sub>1-x<\/sub>\u00a0Ge<sub>x<\/sub>) [1][2] were not applicable to high germanium content x\u22650.5 and hence did not properly extend towards germanium. For some dopants, diffusion coefficients become very small and hence this model cannot be applied to devices containing silicon-germanium with high germanium content or devices containing silicon, silicon-germanium and germanium<\/p>\n<p>In this work we have developed and calibrated a fast empirical model for diffusion coefficients (<em>D<\/em>) for various dopants in material silicon-germanium (<em>Si<\/em><sub>1-x<\/sub>\u00a0Ge<sub>x<\/sub>) which extends smoothly from silicon to germanium and which is therefore valid for the whole range 0\u2264x\u22641. This model has been implemented in the open material database of Silvaco\u2019s process simulation framework Victory Process [6].<\/p>\n<p>For the calibration task presented in this work, we have used various and more recently published diffusivity data for silicon-germanium as well as germanium. On the other hand, diffusion coefficients for silicon are well established in literature, and hence we have performed the calibration in such a way that it smoothly extends the available data for silicon, which were already available within the open material database of Victory Process. However, it has to be noted that there is a lack of published data for germanium for some dopants and hence the accuracy of the calibration presented in this work can be a little low for very high germanium content for some dopants.<\/p>\n<\/div><\/section><\/div><div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_fourth  flex_column_table_cell av-equal-height-column av-align-top av-zero-column-padding   avia-builder-el-3  el_after_av_three_fourth  avia-builder-el-last  \" style='border-radius:0px; ' id=\"whitepaper\" ><p><div  class='avia-builder-widget-area clearfix  avia-builder-el-4  el_before_av_image  avia-builder-el-first '><div id=\"nav_menu-29\" class=\"widget clearfix widget_nav_menu\"><div class=\"menu-simulation-standard-side-menu-chinese-simplified-container\"><ul id=\"menu-simulation-standard-side-menu-chinese-simplified\" class=\"menu\"><li id=\"menu-item-35571\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-35571\"><a href=\"https:\/\/silvaco.com\/zh-hans\/technical-library\/simulation-standard\/\">Simulation Standard<\/a><\/li>\n<\/ul><\/div><\/div><\/div><br \/>\n<div  class='avia-image-container  av-styling-    avia-builder-el-5  el_after_av_sidebar  el_before_av_button  avia-align-center '  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\"  ><div class='avia-image-container-inner'><div class='avia-image-overlay-wrap'><a href=\"\/dynamicweb\/jsp\/downloads\/DownloadDocStepsAction.do?req=download&amp;nm=simstd_Q3-2018_a2.pdf\" class='avia_image' target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" width=\"232\" height=\"300\" class='wp-image-19033 avia-img-lazy-loading-not-19033 avia_image' src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2020\/02\/simstd_a2_Q3-2018-232x300.jpg\" alt='' title='simstd_a2_Q3-2018'  itemprop=\"thumbnailUrl\" srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2020\/02\/simstd_a2_Q3-2018-232x300.jpg 232w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/02\/simstd_a2_Q3-2018-768x994.jpg 768w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/02\/simstd_a2_Q3-2018-545x705.jpg 545w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/02\/simstd_a2_Q3-2018-29x37.jpg 29w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/02\/simstd_a2_Q3-2018-43x55.jpg 43w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/02\/simstd_a2_Q3-2018-37x48.jpg 37w, https:\/\/silvaco.com\/wp-content\/uploads\/2020\/02\/simstd_a2_Q3-2018.jpg 782w\" sizes=\"(max-width: 232px) 100vw, 232px\" \/><\/a><\/div><\/div><\/div><br \/>\n<div  class='avia-button-wrap avia-button-center  avia-builder-el-6  el_after_av_image  avia-builder-el-last ' ><a href='\/dynamicweb\/jsp\/downloads\/DownloadDocStepsAction.do?req=download&amp;nm=simstd_Q3-2018_a2.pdf' class='avia-button  avia-color-grey   avia-icon_select-yes-right-icon avia-size-small avia-position-center ' target=\"_blank\" rel=\"noopener noreferrer\"><span class='avia_iconbox_title' >Download Simulation Standard<\/span><span class='avia_button_icon avia_button_icon_right' aria-hidden='true' data-av_icon='\ue875' data-av_iconfont='entypo-fontello'><\/span><\/a><\/div><\/p><\/div><\/div><!--close column table wrapper. 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Autoclose: 1 -->\n<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Previously published fast empirical models for diffusion coefficients in silicon-germanium (Si1-x Gex) [1][2] were not applicable to high germanium content x\u22650.5 and hence did not properly extend towards germanium. For some dopants, diffusion coefficients become very small and hence this model cannot be applied to devices containing silicon-germanium with high germanium content or devices containing silicon, silicon-germanium and germanium<\/p>\n","protected":false},"author":5,"featured_media":19291,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7723],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v24.0 (Yoast SEO v24.0) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>An Empirical Composition Dependent Model of Dopant Diffusion Coefficients in Si, Si1-x Gex and Ge Material Systems - Silvaco<\/title>\n<meta name=\"description\" content=\"Previously published fast empirical models for diffusion coefficients in silicon-germanium (Si1-x Gex) [1][2] were not applicable to high germanium content x\u22650.5 and hence did not properly extend towards germanium.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/silvaco.com\/zh-hans\/simulation-standard\/an-empirical-composition-dependent-model-of-dopant-diffusion-coefficients-in-si-si1-x-gex-and-ge-material-systems\/\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"An Empirical Composition Dependent Model of Dopant Diffusion Coefficients in Si, Si1-x Gex and Ge Material Systems\" \/>\n<meta property=\"og:description\" content=\"Previously published fast empirical models for diffusion coefficients in silicon-germanium (Si1-x Gex) [1][2] were not applicable to high germanium content x\u22650.5 and hence did not properly extend towards germanium.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/silvaco.com\/zh-hans\/simulation-standard\/an-empirical-composition-dependent-model-of-dopant-diffusion-coefficients-in-si-si1-x-gex-and-ge-material-systems\/\" \/>\n<meta property=\"og:site_name\" content=\"Silvaco\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/SilvacoSoftware\/\" \/>\n<meta property=\"article:published_time\" content=\"2018-07-01T23:20:55+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2021-10-13T16:44:46+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/silvaco.com\/wp-content\/uploads\/2020\/03\/SISPAD_table1.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"550\" \/>\n\t<meta property=\"og:image:height\" content=\"254\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Ingrid Schwarz\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@SilvacoSoftware\" \/>\n<meta name=\"twitter:site\" content=\"@SilvacoSoftware\" \/>\n<meta name=\"twitter:label1\" content=\"\u4f5c\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ingrid Schwarz\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u9884\u8ba1\u9605\u8bfb\u65f6\u95f4\" \/>\n\t<meta name=\"twitter:data2\" content=\"5 \u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/silvaco.com\/zh-hans\/simulation-standard\/an-empirical-composition-dependent-model-of-dopant-diffusion-coefficients-in-si-si1-x-gex-and-ge-material-systems\/\",\"url\":\"https:\/\/silvaco.com\/zh-hans\/simulation-standard\/an-empirical-composition-dependent-model-of-dopant-diffusion-coefficients-in-si-si1-x-gex-and-ge-material-systems\/\",\"name\":\"An Empirical Composition Dependent Model of Dopant Diffusion Coefficients in Si, Si1-x Gex and Ge Material Systems - 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