{"id":31178,"date":"2004-02-01T10:00:23","date_gmt":"2004-02-01T10:00:23","guid":{"rendered":"https:\/\/silvaco.com\/%eb%b6%84%eb%a5%98%eb%90%98%ec%a7%80-%ec%95%8a%ec%9d%8c\/schrodinger-approach-and-density-gradient-model-for-quantum-effects-modeling\/"},"modified":"2021-07-16T21:53:45","modified_gmt":"2021-07-17T04:53:45","slug":"schrodinger-approach-and-density-gradient-model-for-quantum-effects-modeling","status":"publish","type":"post","link":"https:\/\/silvaco.com\/ko\/simulation-standard-ko\/schrodinger-approach-and-density-gradient-model-for-quantum-effects-modeling\/","title":{"rendered":"Schr\u00f6dinger Approach and Density Gradient Model for Quantum Effects Modeling"},"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-31178'><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>Schr\u00f6dinger Approach and Density Gradient Model for Quantum Effects Modeling<\/h1>\n<p class=\"regular\" align=\"center\">A.Ferron1, B.Cottle2, G.Curatola3, G.Fiori3, E.Guichard1<br \/>\n1 Silvaco Data Systems, 55 rue Blaise Pascal, 38330 Montbonnot Saint-Martin, France<br \/>\n2 Silvaco International, 2811 Mission Blvd. 6th Floor, Santa Clara, CA 95054, USA<br \/>\n3 University of Pisa, Via Diotisalvi 2, I-56122, Pisa, Italy<\/p>\n<p class=\"feature\">Abstract<\/p>\n<p>We describe here two approaches to model the quantum effects that can no more be neglected in actual and future devices. These models are the Schr\u00f6dinger-Poisson and Density-Gradient methods fully integrated in the device simulator\u00a0<strong><em>ATLAS<\/em><\/strong>. Simulations based on such methods are compared to each other on electron concentration and C-V curves in a MOS-capacitor.<\/p>\n<p class=\"feature\">Introduction<\/p>\n<p>Advanced silicon technology tends towards ever thinner and shorter gate oxide resulting in significant quantum effects. The most relevant effect is the confinement of the carriers. For instance, in a Metal-Oxide-Semiconductor capacitor C-V characteristic, the threshold voltage is shifted and the apparent oxide thickness is increased compared to the C-V characteristic expected with a semi-classical approach. To model this confinement accurately in a device simulator based on a drift-diffusion approach, two methods are treated in this paper. The first one, and the most accurate, is to include the Schr\u00f6dinger equation into a self-consistent computation with the Poisson equation. Unfortunately this solution, due to its non-locality, has a significant numerical cost and cannot be efficiently coupled with the continuity equations giving the current flow in practical applications. All the same this method is used in 1D as a reference: the C-V characteristic and the carrier density profiles are useful to validate simpler methods. Different simpler methods compatible with the drift-diffusion approach have been developed [1, 2]. In this paper we describe a density gradient model which introduces a quantum potential correction in the continuity equations. In the following, we present first the Schr\u00f6dinger-Poisson model, then the density gradient model and the comparison to each other.<\/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-korean-container\"><ul id=\"menu-simulation-standard-side-menu-korean\" class=\"menu\"><li id=\"menu-item-25039\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-25039\"><a href=\"https:\/\/silvaco.com\/ko\/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_feb_2004_a1.pdf\" class='avia_image' target=\"_blank\" rel=\"noopener noreferrer\"><img decoding=\"async\" width=\"600\" height=\"800\" class='wp-image-21777 avia-img-lazy-loading-not-21777 avia_image' src=\"https:\/\/silvaco.com\/wp-content\/uploads\/simulationstandard\/simstd_feb_2004_a1-e1611194549782.jpg\" alt='' title='simstd_feb_2004_a1'  itemprop=\"thumbnailUrl\"  \/><\/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_feb_2004_a1.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>We describe here two approaches to model the quantum effects that can no more be neglected in actual and future devices. These models are the Schr\u00f6dinger-Poisson and Density-Gradient methods fully integrated in the device simulator\u00a0ATLAS. Simulations based on such methods are compared to each other on electron concentration and C-V curves in a MOS-capacitor.<\/p>\n","protected":false},"author":3,"featured_media":22707,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7486],"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>Schr\u00f6dinger Approach and Density Gradient Model for Quantum Effects Modeling - Silvaco<\/title>\n<meta name=\"description\" content=\"We describe here two approaches to model the quantum effects that can no more be neglected in actual and future devices. 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