{"id":214492,"date":"2025-05-22T05:29:12","date_gmt":"2025-05-22T10:29:12","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2025\/05\/faster-more-stable-plasma-simulations-help-advance-chip-manufacturing"},"modified":"2025-05-22T05:29:12","modified_gmt":"2025-05-22T10:29:12","slug":"faster-more-stable-plasma-simulations-help-advance-chip-manufacturing","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2025\/05\/faster-more-stable-plasma-simulations-help-advance-chip-manufacturing","title":{"rendered":"Faster, more stable plasma simulations help advance chip manufacturing"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/faster-more-stable-plasma-simulations-help-advance-chip-manufacturing.jpg\"><\/a><\/p>\n<p>Plasma\u2014the electrically charged fourth state of matter\u2014is at the heart of many important industrial processes, including those used to make computer chips and coat materials.<\/p>\n<p>Simulating those plasmas can be challenging, however, because millions of math operations must be performed for thousands of points in the simulation, many times per second. Even with the world\u2019s fastest supercomputers, scientists have struggled to create a kinetic simulation\u2014which considers individual particles\u2014that is detailed and fast enough to help them improve those manufacturing processes.<\/p>\n<p>Now, a new method offers improved stability and efficiency for kinetic simulations of what\u2019s known as inductively coupled plasmas. The method was implemented in a <a href=\"https:\/\/phys.org\/tags\/code\/\" rel=\"tag\" class=\"\">code<\/a> developed as part of a private-public partnership between the U.S. Department of Energy\u2019s Princeton Plasma Physics Laboratory (PPPL) and chip equipment maker Applied Materials Inc., which is already using the tool. Researchers from the University of Alberta, PPPL and Los Alamos National Laboratory contributed to the project.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Plasma\u2014the electrically charged fourth state of matter\u2014is at the heart of many important industrial processes, including those used to make computer chips and coat materials. Simulating those plasmas can be challenging, however, because millions of math operations must be performed for thousands of points in the simulation, many times per second. Even with the world\u2019s [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2229,48,44],"tags":[],"class_list":["post-214492","post","type-post","status-publish","format-standard","hentry","category-mathematics","category-particle-physics","category-supercomputing"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/214492","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=214492"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/214492\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=214492"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=214492"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=214492"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}