{"id":31436,"date":"2000-08-01T23:00:36","date_gmt":"2000-08-01T23:00:36","guid":{"rendered":"https:\/\/silvaco-stage.betagentechnologies.com\/%eb%b6%84%eb%a5%98%eb%90%98%ec%a7%80-%ec%95%8a%ec%9d%8c\/yield-analysis-and-performance-optimization-using-fastblaze-and-spayn\/"},"modified":"2026-09-14T09:19:52","modified_gmt":"2026-09-14T16:19:52","slug":"yield-analysis-and-performance-optimization-using-fastblaze-and-spayn","status":"publish","type":"post","link":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/yield-analysis-and-performance-optimization-using-fastblaze-and-spayn\/","title":{"rendered":"Yield Analysis and Performance Optimization Using FastBlaze and SPAYN"},"content":{"rendered":"<h1>Yield Analysis and Performance Optimization Using\u00a0<i>FastBlaze<\/i>\u00a0and\u00a0<i>SPAYN<\/i><\/h1>\n<h3 class=\"regular\" align=\"left\"><b>Introduction<\/b><\/h3>\n<p>In previous\u00a0<i>Simulation Standard<\/i>\u00a0articles (Nov 97 &amp; Nov 98)\u00a0<i><b>FastBlaze<\/b><\/i>\u00a0has been presented as a new, highly efficient approach to simulating advanced HEMTs and MESFETs.<\/p>\n<p>Conventional device simulators often suffer from slow execution times, leading to a trade off between mesh density and physical model complexity against CPU run time and convergence. This requires engineers to compromise accuracy to achieve a reasonable throughput.<\/p>\n<p>By focusing solely upon FET simulation,\u00a0<i><b>FastBlaze<\/b><\/i>\u00a0has been able to greatly optimize the physical solution procedure, enabling the use of the most sophisticated physical models while maintaining a fast execution (typically less than 1 minute for a full set of DC I<span style=\"font-size: xx-small;\">D-<\/span>V<span style=\"font-size: xx-small;\">DS<\/span>\u00a0curves) This speed enables both complex and extensive experimental designs to be completed on a reasonable time scale, permitting experiments that would be prohibitively expensive for more traditional device simulators.<\/p>\n<p><img loading=\"lazy\" width=\"1296\" height=\"1669\" src=\"https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1.jpg\" class=\"cleaned-enfold-image\" alt=\"\" decoding=\"async\" loading=\"lazy\" srcset=\"https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1.jpg 1296w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-233x300.jpg 233w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-800x1030.jpg 800w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-768x989.jpg 768w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-1193x1536.jpg 1193w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-1165x1500.jpg 1165w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-547x705.jpg 547w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-29x37.jpg 29w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-43x55.jpg 43w, https:\/\/silvaco-stage.betagentechnologies.com\/wp-content\/uploads\/simulationstandard\/simstd_aug_2000_a1-37x48.jpg 37w\" sizes=\"auto, (max-width: 1296px) 100vw, 1296px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In previous Simulation Standard articles (Nov 97 &#038; Nov 98) FastBlaze has been presented as a new, highly efficient approach to simulating advanced HEMTs and MESFETs. Conventional device simulators often suffer from slow execution times, leading to a trade off between mesh density and physical model complexity against CPU run time and convergence. This requires engineers to compromise accuracy to achieve a reasonable throughput.<\/p>\n","protected":false},"author":2,"featured_media":21579,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7486],"tags":[],"class_list":["post-31436","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-simulation-standard-ko","entry","has-media"],"_links":{"self":[{"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/posts\/31436","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/comments?post=31436"}],"version-history":[{"count":3,"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/posts\/31436\/revisions"}],"predecessor-version":[{"id":66522,"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/posts\/31436\/revisions\/66522"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/media\/21579"}],"wp:attachment":[{"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/media?parent=31436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/categories?post=31436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/silvaco-stage.betagentechnologies.com\/ko\/wp-json\/wp\/v2\/tags?post=31436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}