{"id":54587,"date":"2024-04-10T08:39:13","date_gmt":"2024-04-10T15:39:13","guid":{"rendered":"https:\/\/silvaco.com\/?page_id=54587"},"modified":"2025-02-05T13:26:57","modified_gmt":"2025-02-05T21:26:57","slug":"ftco-uses-manufacturing-data-to-perform-statistical-and-physics-based-machine-learning-software-simulations-to-create-a-computer-model-or-digital-twin-of-a-wafer-that-can-be-used-to","status":"publish","type":"page","link":"https:\/\/silvaco.com\/ja\/solutions\/ftco\/","title":{"rendered":"FTCO"},"content":{"rendered":"<div id='full_slider_1'  class='avia-fullwidth-slider main_color avia-shadow   avia-builder-el-0  el_before_av_one_full  avia-builder-el-first   container_wrap fullsize' style=' '  ><div   data-size='no scaling'  data-lightbox_size='large'  data-animation='slide'  data-conditional_play=''  data-ids='56669'  data-video_counter='0'  data-autoplay='false'  data-bg_slider='false'  data-slide_height=''  data-handle='av_slideshow_full'  data-interval='5'  data-class=' '  data-el_id=''  data-css_id=''  data-scroll_down=''  data-control_layout='av-control-default'  data-custom_markup=''  data-perma_caption=''  data-autoplay_stopper=''  data-image_attachment=''  data-min_height='110px'  data-lazy_loading='disabled'  data-src=''  data-position='top left'  data-repeat='no-repeat'  data-attach='scroll'  data-stretch=''  class='avia-slideshow avia-slideshow-1  av-control-default av-default-height-applied avia-slideshow-no scaling av_slideshow_full   avia-slide-slider '  itemprop=\"image\" itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/ImageObject\" ><ul class='avia-slideshow-inner ' style='padding-bottom: 10.46875%;' ><li  class=' av-single-slide slide-1 ' ><div data-rel='slideshow-1' class='avia-slide-wrap '   ><div class = \"caption_fullwidth av-slideshow-caption caption_bottom\"><div class = \"container caption_container\"><div class = \"slideshow_caption\"><div class = \"slideshow_inner_caption\"><div class = \"slideshow_align_caption\"><h2  style='font-size:50px; color:#ffffff; ' class='avia-caption-title  '  itemprop=\"name\" >Fab Technology Co-Optimization\u2122 (FTCO\u2122)<br \/>\nwith AI-Driven Digital Twin Modeling<\/h2><\/div><\/div><\/div><\/div><\/div><img decoding=\"async\" class=\"wp-image-56671 avia-img-lazy-loading-not-56671\"  src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201.jpg\" width=\"1920\" height=\"201\" title='FTCO_banner_1920x201' alt=''  itemprop=\"thumbnailUrl\"  style='min-height:110px; min-width:1051px; ' srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201.jpg 1920w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-300x31.jpg 300w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-1030x108.jpg 1030w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-768x80.jpg 768w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-1536x161.jpg 1536w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-1500x157.jpg 1500w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-705x74.jpg 705w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-43x5.jpg 43w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-63x7.jpg 63w, https:\/\/silvaco.com\/wp-content\/uploads\/2024\/07\/FTCO_banner_1920x201-48x5.jpg 48w\" sizes=\"(max-width: 1920px) 100vw, 1920px\" \/><\/div><\/li><\/ul><\/div><\/div><div id='after_full_slider_1'  class='main_color av_default_container_wrap container_wrap fullsize' style=' '  ><div class='container' ><div class='template-page content  av-content-full alpha units'><div class='post-entry post-entry-type-page post-entry-54587'><div class='entry-content-wrapper clearfix'>\n<div class=\"flex_column av_one_full  flex_column_div av-zero-column-padding first  avia-builder-el-1  el_after_av_slideshow_full  el_before_av_one_full  avia-builder-el-first  \" style='margin-top:0px; margin-bottom:-10px; border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><h1 style=\"text-align: center;\">Optimizing Process, Design, and Yield<\/h1>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_one_full  flex_column_div av-zero-column-padding first  avia-builder-el-3  el_after_av_one_full  el_before_av_one_full  column-top-margin\" style='margin-top:0px; margin-bottom:-5px; border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><h2>FTCO and Digital Twins\u200b<\/h2>\n<p>We have combined our expertise in semiconductor technologies with machine learning and data analysis to develop a solution named Fab Technology Co-Optimization, or FTCO\u2122. FTCO\u2122 enables a TCAD engineer to use artificial intelligence-based Victory Analytics and Victory DoE to setup and execute an iterative scheme for training a nonlinear model. This model represents the manufacturing process based on fabrication and physical process data from both simulation and experiment. Device and circuit simulations can be included in the training to automatically map correlations between process and device and circuit parameters. Once sufficiently trained, the model becomes a Digital Twin, encapsulating the entire knowledge embedded in the training data and the provided inputs from the TCAD simulation engineer.<\/p>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_one_full  flex_column_div av-zero-column-padding first  avia-builder-el-5  el_after_av_one_full  el_before_av_one_full  column-top-margin\" style='margin-top:0px; margin-bottom:-10px; border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><h2 style=\"text-align: center;\">AI-Driven FTCO\u2122 Solution Platform Flow Diagram<\/h2>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-59454 size-full\" src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/FTCO-Flow.png\" alt=\"FTCO Flow\" width=\"1024\" height=\"446\" srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/FTCO-Flow.png 1024w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/FTCO-Flow-300x131.png 300w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/FTCO-Flow-768x335.png 768w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/FTCO-Flow-705x307.png 705w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/FTCO-Flow-43x19.png 43w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/FTCO-Flow-63x27.png 63w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/FTCO-Flow-48x21.png 48w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/p>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_one_full  flex_column_div av-zero-column-padding first  avia-builder-el-7  el_after_av_one_full  el_before_av_hr  column-top-margin\" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><h2 style=\"text-align: center;\">Benefits<\/h2>\n<\/div><\/section><\/div>\n<div   class='hr hr-default   avia-builder-el-9  el_after_av_one_full  el_before_av_one_third '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div>\n<div class=\"flex_column av_one_third  flex_column_div av-zero-column-padding first  avia-builder-el-10  el_after_av_hr  el_before_av_one_third  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p>Minimizes cost and time to market, while maximizing production scale by reducing physical wafer learning cycles<\/p>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_one_third  flex_column_div av-zero-column-padding   avia-builder-el-12  el_after_av_one_third  el_before_av_one_third  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p>Provides a smart and intuitive interface for non-TCAD simulation experts to get &#8220;hands on&#8221; manufacturability optimization in a virtual environment<\/p>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_one_third  flex_column_div av-zero-column-padding   avia-builder-el-14  el_after_av_one_third  el_before_av_hr  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p>Creates a platform of innovation for engineers to significantly reduce risks and accelerate time to market for their next-gen technologies<\/p>\n<\/div><\/section><\/div>\n<div   class='hr hr-default   avia-builder-el-16  el_after_av_one_third  el_before_av_three_fifth '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div>\n<div class=\"flex_column av_three_fifth  flex_column_div av-zero-column-padding first  avia-builder-el-17  el_after_av_hr  el_before_av_two_fifth  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><strong><em>Virtual experimentation<\/em><\/strong> allows the engineer to study the correlations between process parameters and target design parameters by interacting with an intuitive and specially designed user interface for data analysis. Significant process parameters for user-defined design parameters are automatically highlighted. Example scenario: The engineer uses the Digital Twin to screen process and device target variables for a specific transistor. The real-time provided result shows that changing implantation doses strongly influences the threshold voltage but has negligible impact on breakdown voltage.\u200b<\/p>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_two_fifth  flex_column_div av-zero-column-padding   avia-builder-el-19  el_after_av_three_fifth  el_before_av_hr  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-59296\" src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Virtual-Experimentation-Web.png\" alt=\"Virtual Experimentation\" width=\"480\" height=\"259\" srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Virtual-Experimentation-Web.png 480w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Virtual-Experimentation-Web-300x162.png 300w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Virtual-Experimentation-Web-43x23.png 43w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Virtual-Experimentation-Web-63x34.png 63w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Virtual-Experimentation-Web-48x26.png 48w\" sizes=\"(max-width: 480px) 100vw, 480px\" \/><\/p>\n<\/div><\/section><\/div>\n<div   class='hr hr-default   avia-builder-el-21  el_after_av_two_fifth  el_before_av_two_fifth '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div>\n<div class=\"flex_column av_two_fifth  flex_column_div av-zero-column-padding first  avia-builder-el-22  el_after_av_hr  el_before_av_three_fifth  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-59302\" src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Design-Targeting.png\" alt=\"Design Targeting\" width=\"715\" height=\"425\" srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Design-Targeting.png 715w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Design-Targeting-300x178.png 300w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Design-Targeting-705x419.png 705w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Design-Targeting-43x26.png 43w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Design-Targeting-63x37.png 63w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Design-Targeting-48x29.png 48w\" sizes=\"(max-width: 715px) 100vw, 715px\" \/><\/p>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_three_fifth  flex_column_div av-zero-column-padding   avia-builder-el-24  el_after_av_two_fifth  el_before_av_hr  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><strong><em>Design targeting<\/em><\/strong> allows the engineer to query the Digital Twin to provide optimal process parameter values for specific target design values. Parameter space exploration and identification of optimal process parameters is significantly accelerated. Example scenario: The engineer defines a target threshold voltage, and the Digital Twin returns the necessary doping doses to achieve the requested threshold voltage in real-time. \u200b<\/p>\n<\/div><\/section><\/div>\n<div   class='hr hr-default   avia-builder-el-26  el_after_av_three_fifth  el_before_av_three_fifth '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div>\n<div class=\"flex_column av_three_fifth  flex_column_div av-zero-column-padding first  avia-builder-el-27  el_after_av_hr  el_before_av_two_fifth  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><strong><em>Interactive structure modeling<\/em><\/strong> allows the engineer to change process parameters and immediately have these changes visualized in the rendering window showing the structure. The presented output is indeed based on the physics-based training data and as such represents the physical reality with very high confidence. Example scenario: The engineer changes etching parameters and right away witnesses the impact on the shape of the etching profile. \u200b<\/p>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_two_fifth  flex_column_div av-zero-column-padding   avia-builder-el-29  el_after_av_three_fifth  el_before_av_hr  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-59308\" src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/ISM.png\" alt=\"Interactive Structure Modeling\" width=\"340\" height=\"303\" srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/ISM.png 468w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/ISM-300x267.png 300w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/ISM-43x37.png 43w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/ISM-63x55.png 63w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/ISM-48x43.png 48w\" sizes=\"(max-width: 340px) 100vw, 340px\" \/><\/p>\n<\/div><\/section><\/div>\n<div   class='hr hr-default   avia-builder-el-31  el_after_av_two_fifth  el_before_av_two_fifth '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div>\n<div class=\"flex_column av_two_fifth  flex_column_div av-zero-column-padding first  avia-builder-el-32  el_after_av_hr  el_before_av_three_fifth  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-large wp-image-59314\" src=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-1030x600.png\" alt=\"FTCO Analysis\" width=\"1030\" height=\"600\" srcset=\"https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-1030x600.png 1030w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-300x175.png 300w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-768x447.png 768w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-1536x894.png 1536w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-2048x1192.png 2048w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-1500x873.png 1500w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-705x410.png 705w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-43x25.png 43w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-63x37.png 63w, https:\/\/silvaco.com\/wp-content\/uploads\/2025\/02\/Analysis-48x28.png 48w\" sizes=\"(max-width: 1030px) 100vw, 1030px\" \/><\/p>\n<\/div><\/section><\/div>\n<div class=\"flex_column av_three_fifth  flex_column_div av-zero-column-padding   avia-builder-el-34  el_after_av_two_fifth  el_before_av_hr  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><p><strong><em>Process capability analysis<\/em><\/strong> allows the engineer to conduct parameter variation and yield studies by Monte Carlo and Cp\/Cpk analyses. Example scenario: The engineer provides the Lot-to-Lot variation of the oxide thickness, and the Digital Twin provides the determined distributions of process and device metrics.<\/p>\n<\/div><\/section><\/div>\n<div   class='hr hr-default   avia-builder-el-36  el_after_av_three_fifth  el_before_av_two_third '><span class='hr-inner ' ><span class='hr-inner-style'><\/span><\/span><\/div>\n<div class='flex_column_table av-equal-height-column-flextable -flextable' ><div class=\"flex_column av_two_third  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding first  avia-builder-el-37  el_after_av_hr  el_before_av_one_third  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><h3>Developed in Collaboration with Micron Technology, Inc. to Optimize Memory Devices\u200b<\/h3>\n<p>Micron Technology, Inc. uses production data and physics-based simulation with a focus on etching, deposition, and mechanical stress in combination with Silvaco\u2019s FTCO<sup>TM<\/sup> platform for data analysis and training of a Digital Twin model. The Digital Twin model allows for rapid and intuitive process, design, and yield optimizations also by non-TCAD engineers and accelerates design and pathfinding for memory product development. \u200b<\/p>\n<p><a href=\"https:\/\/investors.silvaco.com\/news-releases\/news-release-details\/silvaco-announces-expanded-partnership-micron-technology\" target=\"_blank\" rel=\"noopener\">Silvaco Announces Expanded Partnership with Micron Technology\u200b<\/a><\/p>\n<hr \/>\n<p>Connect directly with an FTCO expert to learn more about using Silvaco AI-driven solutions to optimize processes, designs, and yields.<\/p>\n<\/div><\/section><br \/>\n<div  class='avia-button-wrap avia-button-left  avia-builder-el-39  el_after_av_textblock  avia-builder-el-last ' ><a href='ftco-expert\/' class='avia-button  avia-color-theme-color   avia-icon_select-no avia-size-small avia-position-left ' target=\"_blank\" rel=\"noopener noreferrer\"><span class='avia_iconbox_title' >Connect<\/span><\/a><\/div><\/p><\/div>\n<div class='av-flex-placeholder'><\/div><div class=\"flex_column av_one_third  flex_column_table_cell av-equal-height-column av-align-middle av-zero-column-padding   avia-builder-el-40  el_after_av_two_third  el_before_av_three_fourth  \" style='border-radius:0px; '><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><div style=\"width: 1280px;\" class=\"wp-video\"><!--[if lt IE 9]><script>document.createElement('video');<\/script><![endif]-->\n<video class=\"wp-video-shortcode\" id=\"video-54587-1\" width=\"1280\" height=\"720\" poster=\"\/wp-content\/uploads\/2024\/06\/Silvaco_Partner-Video_Micron-Technology.png\" preload=\"metadata\" controls=\"controls\"><source type=\"video\/mp4\" src=\"\/wp-content\/uploads\/2024\/06\/Silvaco_Partner-Video_Micron-Technology_01.mp4?_=1\" \/><a href=\"\/wp-content\/uploads\/2024\/06\/Silvaco_Partner-Video_Micron-Technology_01.mp4\">\/wp-content\/uploads\/2024\/06\/Silvaco_Partner-Video_Micron-Technology_01.mp4<\/a><\/video><\/div>\n<p style=\"text-align: center;\"><strong>Dr. Gurtej Sandhu<\/strong>\u200b<br \/>\nPrincipal Fellow of Technology Pathfinding \u200b<br \/>\nMicron Technology, Inc.<\/p>\n<\/div><\/section><\/div><\/div><!--close column table wrapper. Autoclose: 1 -->\n<div class=\"flex_column av_three_fourth  flex_column_div av-zero-column-padding first  avia-builder-el-42  el_after_av_one_third  avia-builder-el-last  column-top-margin\" style='border-radius:0px; ' id=\"template_resources\" ><section class=\"av_textblock_section \"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\" ><div class='avia_textblock  '   itemprop=\"text\" ><h2 class=\"resources\">FTCO\u2122 Resources<\/h2>\n<\/div><\/section><br \/>\n<div  class='avia-builder-widget-area clearfix  avia-builder-el-44  el_after_av_textblock  avia-builder-el-last '><div id=\"text-44\" class=\"widget clearfix widget_text\">\t\t\t<div class=\"textwidget\"><div   id=\"resources_toggler\"  class=\"togglecontainer   toggle_close_all \" >\n<section class=\"av_toggle_section\"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\"  >    <div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  >        <p data-fake-id=\"#application_examples\" class=\"toggler \"  itemprop=\"headline\"    role=\"tab\" tabindex=\"0\" aria-controls=\"application_examples\">Webinars<span class=\"toggle_icon\" >        <span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p>        <div id=\"application_examples\" class=\"toggle_wrap \"   >            <div class=\"toggle_content invers-color \"  itemprop=\"text\"   ><p><a href=\"https:\/\/silvaco.com\/dynamicweb\/jsp\/downloads\/DownloadDocStepsAction.do?req=silen-download&amp;nm=AI_Takes_EDA_to_the_Next_Level.mp4&amp;prefixname=video\">SURGE 2025: AI Takes EDA to the Next Level<\/a><\/p>\n<p><a href=\"https:\/\/silvaco.com\/dynamicweb\/jsp\/downloads\/DownloadDocStepsAction.do?req=silen-download&amp;nm=How_to_Utilize_Victory_Analytics_and_Machine_Learning_to_Calibrate_TCAD_Data.mp4&amp;prefixname=video\">SURGE 2025: How to Utilize Victory Analytics and Machine Learning to Calibrate TCAD Data<\/a><\/p>\n<p><a href=\"https:\/\/www.semi.org\/en\/event\/silvaco-webinar-developing-silicon-carbide-dmosfets\" target=\"_blank\" rel=\"noopener\">Developing Silicon Carbide DMOSFETs: A Digital Twin Design Reference Flow &#8211; SEMI<\/a><\/p>\n<p><a href=\"https:\/\/silvaco.com\/webinar\/learn-about-fab-technology-co-optimization-ftcotm\/\" target=\"_blank\" rel=\"noopener\">Applying Artificial Intelligence in Fab Technology Co-Optimization (FTCO\u2122)<\/a><\/p>\n            <\/div>        <\/div>    <\/div><\/section>\n<section class=\"av_toggle_section\"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\"  >    <div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  >        <p data-fake-id=\"#presentation_materials\" class=\"toggler \"  itemprop=\"headline\"    role=\"tab\" tabindex=\"0\" aria-controls=\"presentation_materials\">Presentations<span class=\"toggle_icon\" >        <span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p>        <div id=\"presentation_materials\" class=\"toggle_wrap \"   >            <div class=\"toggle_content invers-color \"  itemprop=\"text\"   ><p><a href=\"\/wp-content\/uploads\/content\/presentations\/FTCO_Overview_Final.pdf\" target=\"_blank\" rel=\"noopener\">FTCO Overview<\/a><\/p>\n            <\/div>        <\/div>    <\/div><\/section>\n<section class=\"av_toggle_section\"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\"  >    <div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  >        <p data-fake-id=\"#product_briefs\" class=\"toggler \"  itemprop=\"headline\"    role=\"tab\" tabindex=\"0\" aria-controls=\"product_briefs\">Product Briefs<span class=\"toggle_icon\" >        <span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p>        <div id=\"product_briefs\" class=\"toggle_wrap \"   >            <div class=\"toggle_content invers-color \"  itemprop=\"text\"   >\n<p><a href=\"\/wp-content\/uploads\/product\/pdf\/Victory_DoE_brochure.pdf\" target=\"_blank\" rel=\"noopener\">Victory DoE &#8211;\u00a0Design of Experiments<\/a><\/p>\n<p><a href=\"\/wp-content\/uploads\/product\/pdf\/VictoryAnalytics_Brief.pdf\" target=\"_blank\" rel=\"noopener\">Victory Analytics &#8211; Machine Learning-based Analytics Tool<\/a><\/p>\n<p><a href=\"\/wp-content\/uploads\/product\/pdf\/Interactive_Tools_brief.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Interactive Tools \u2013 Pre \/ Post Processing and Visualization Tools<\/a><\/p>\n            <\/div>        <\/div>    <\/div><\/section>\n<section class=\"av_toggle_section\"  itemscope=\"itemscope\" itemtype=\"https:\/\/schema.org\/CreativeWork\"  >    <div role=\"tablist\" class=\"single_toggle\" data-tags=\"{All} \"  >        <p data-fake-id=\"#published_papers\" class=\"toggler \"  itemprop=\"headline\"    role=\"tab\" tabindex=\"0\" aria-controls=\"published_papers\">Articles<span class=\"toggle_icon\" >        <span class=\"vert_icon\"><\/span><span class=\"hor_icon\"><\/span><\/span><\/p>        <div id=\"published_papers\" class=\"toggle_wrap \"   >            <div class=\"toggle_content invers-color \"  itemprop=\"text\"   ><p><a href=\"\/news\/silvaco-announces-expanded-partnership-with-micron-technology\/\" target=\"_blank\" rel=\"noopener\">Read about Silvaco\u2019s Expanded Partnership with Micron Technology<\/a><\/p>\n<p><a href=\"https:\/\/semi.org\/en\/blogs\/technology-and-trends\/applying-ai-in-fab-technology-co-optimization\" target=\"_blank\" rel=\"noopener\">Read the SEMI interview with Silvaco\u2019s CEO Dr. Babak Taheri<\/a><\/p>\n            <\/div>        <\/div>    <\/div><\/section>\n\n<\/div>\n<\/div>\n\t\t<\/div><\/div><\/p><\/div>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":15,"featured_media":59310,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[],"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>FTCO<\/title>\n<meta name=\"description\" content=\"Silvaco\u2019s FTCO Platform leverages artificial intelligence (AI) and machine learning (ML) to generate a Digital Twin which is a physics based digital counterpart that mirrors the form, fit and function of the physical world.\" \/>\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\/ja\/solutions\/ftco\/\" \/>\n<meta property=\"og:locale\" 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