{"id":129015,"date":"2026-07-16T14:30:08","date_gmt":"2026-07-16T13:30:08","guid":{"rendered":"https:\/\/physicsworld.com\/?p=129015"},"modified":"2026-06-26T11:32:04","modified_gmt":"2026-06-26T10:32:04","slug":"large-physics-models-boost-the-performance-of-passenger-cars","status":"publish","type":"post","link":"https:\/\/physicsworld.com\/a\/large-physics-models-boost-the-performance-of-passenger-cars\/","title":{"rendered":"Large physics models boost the performance of passenger cars"},"content":{"rendered":"<div itemscope itemtype=\"http:\/\/schema.org\/AudioObject\"><meta itemprop=\"name\" content=\"Large physics models boost the performance of passenger cars\" \/><meta itemprop=\"uploadDate\" content=\"2026-07-16T14:30:08+01:00\" \/><meta itemprop=\"encodingFormat\" content=\"audio\/mpeg\" \/><meta itemprop=\"duration\" content=\"PT38M25S\" \/><meta itemprop=\"description\" content=\"Aerodynamics expert David Wheater is our podcast guest\" \/><meta itemprop=\"contentUrl\" content=\"https:\/\/media.blubrry.com\/physicsworldweeklypodcast\/content.blubrry.com\/physicsworldweeklypodcast\/PWWeekly16July2026DavidWheaterPhysicsX.mp3\" \/><meta itemprop=\"contentSize\" content=\"30.8\" \/><iframe loading=\"lazy\" src=\"https:\/\/player.blubrry.com\/?podcast_id=154123523&amp;media_url=https%3A%2F%2Fmedia.blubrry.com%2Fphysicsworldweeklypodcast%2Fcontent.blubrry.com%2Fphysicsworldweeklypodcast%2FPWWeekly16July2026DavidWheaterPhysicsX.mp3&amp;modern=1#mode-Light&border-000000&progress-000000\" scrolling=\"no\" width=\"100%\" height=\"165\" frameborder=\"0\" id=\"blubrryplayer-1\" class=\"blubrryplayer\" title=\"Blubrry Podcast Player\"><\/iframe><\/div>\n<p>This episode of the <em>Physics World Weekly<\/em> podcast explores how artificial intelligence can be used to improve the aerodynamics of passenger cars and other vehicles. My guest is <a href=\"https:\/\/en.wikipedia.org\/wiki\/David_Wheater_(engineer)\">David Wheater<\/a>, who is vice president automotive at UK and US-based <a href=\"https:\/\/www.physicsx.ai\/\">PhysicsX<\/a>.<\/p>\n<span class=\"mpu align-right\" aria-hidden=\"true\"><div id='div-gpt-ad-3759129-1'class=\"advert\" >\r\n  <script>\r\n    googletag.cmd.push(function() { googletag.display('div-gpt-ad-3759129-1'); });\r\n  <\/script>\r\n<\/div><\/span>\n<p>An aeronautical engineer by training, Wheater spent much of his career using aerodynamics to improve the performance of Formula 1 racing cars for several F1 constructors.<\/p>\n<p>Now, his focus is on using AI-based \u201clarge physics models\u201d to improve the performance of mass-produced vehicles. This involves combining computational fluid dynamics simulations with wind-tunnel experiments and real-world testing. In this wide-ranging conversation, Wheater explains the need for high-quality training data and we also explore career opportunities for physicists in this multidisciplinary industry.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Aerodynamics expert David Wheater is our podcast guest<\/p>\n","protected":false},"author":135,"featured_media":129020,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[614],"tags":[],"class_list":["post-129015","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-artificial-intelligence","article-type-audio"],"acf":[],"_links":{"self":[{"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/posts\/129015","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/users\/135"}],"replies":[{"embeddable":true,"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/comments?post=129015"}],"version-history":[{"count":0,"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/posts\/129015\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/media\/129020"}],"wp:attachment":[{"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/media?parent=129015"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/categories?post=129015"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/physicsworld.com\/wp-json\/wp\/v2\/tags?post=129015"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}