{"id":4819,"date":"2023-08-30T10:42:51","date_gmt":"2023-08-30T10:42:51","guid":{"rendered":"https:\/\/dailyai.com\/?p=4819"},"modified":"2023-08-30T10:42:51","modified_gmt":"2023-08-30T10:42:51","slug":"ai-llm-learns-chemical-language-to-develop-new-polymers","status":"publish","type":"post","link":"https:\/\/dailyai.com\/nl\/2023\/08\/ai-llm-learns-chemical-language-to-develop-new-polymers\/","title":{"rendered":"AI LLM leert chemische taal om nieuwe polymeren te ontwikkelen."},"content":{"rendered":"<p><strong>Onderzoekers van Georgia Tech hebben een machine-learning model ontwikkeld dat het voor materiaalwetenschappers een stuk eenvoudiger maakt om nieuwe polymeren te ontwikkelen.<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">Polymeren zijn grote moleculen die gemaakt zijn van lange reeksen chemische bouwstenen. We gebruiken elke dag synthetische polymeren zoals nylon, polyester of plastic verpakkingen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Materiaalwetenschappers proberen nieuwe samenstellingen van polymeren te bedenken om materialen te maken met specifieke eigenschappen. Als je een materiaal wilde dat licht, rekbaar, waterdicht en hittebestendig was, kon je een polymeer maken dat al die eigenschappen had.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Het probleem is dat het een enorme onderneming is om uit te zoeken welke combinatie van chemicali\u00ebn een polymeer met die eigenschappen zou opleveren. Er zijn eindeloos veel combinaties en het is extreem moeilijk om te voorspellen welke eigenschappen een nieuw polymeer zal hebben.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De <\/span><a href=\"https:\/\/research.gatech.edu\/revolutionary-ai-algorithm-learns-chemical-language-and-accelerates-polymer-research\"><span style=\"font-weight: 400;\">Georgia Tech onderzoekers<\/span><\/a><span style=\"font-weight: 400;\"> hebben hun LLM, polyBERT genaamd, getraind op een dataset van 80 miljoen chemische polymeerstructuren. Het resultaat is een model dat de taal van chemische stoffen begrijpt.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Net zoals LLM's worden opgeleid in een taal als Engels, begrijpt polyBERT nu de grammatica en syntaxis van hoe chemicali\u00ebn en atomen combineren om polymeren te maken.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De National Science Foundation (NSF) financierde het onderzoek achter polyBERT. De programmadirecteur, Debora Rodrigues, zei dat de onderzoekers \"een nieuw hulpmiddel met kunstmatige intelligentie ontwikkelden om te bepalen welke combinaties van chemicali\u00ebn de meest effectieve polymeren maken\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Door polyBERT te gebruiken kunnen materiaalwetenschappers combinaties van chemicali\u00ebn meer dan 100 keer sneller doorrekenen dan voorheen. Het resultaat van het gebruik van het model is een dataset met 100 miljoen hypothetische polymeren en hun voorspellingen voor 29 eigenschappen.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Als je als materiaalwetenschapper op zoek bent naar een nieuw materiaal met zeer specifieke eigenschappen hoef je niet te experimenteren en er het beste van te hopen, maar kun je gewoon de dataset raadplegen die de AI heeft gegenereerd.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Hoewel de onderzoekers polyBERT hebben getraind op polymeren, zeiden ze dat het theoretisch ook gebruikt zou kunnen worden voor ander chemisch onderzoek.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">De mogelijkheid om materialen te maken die duurzamer of energiezuiniger zijn, is een direct voordeel van het toepassen van dit soort kunstmatige intelligentie.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Onderzoekers van Georgia Tech hebben een machine-learning model ontwikkeld dat het voor materiaalwetenschappers een stuk makkelijker maakt om nieuwe polymeren te ontwikkelen. Polymeren zijn grote moleculen die gemaakt zijn van lange reeksen chemische bouwstenen. We gebruiken elke dag synthetische polymeren zoals nylon, polyester of plastic verpakkingen. Materiaalwetenschappers proberen nieuwe samenstellingen van polymeren te bedenken om materialen te maken met specifieke eigenschappen. Als je een materiaal wilt dat licht, rekbaar, waterdicht en hittebestendig is, kun je een polymeer maken dat al deze eigenschappen heeft. Het probleem is dat het uitzoeken welke combinatie van chemicali\u00ebn een polymeer met al die eigenschappen zou cre\u00ebren.<\/p>","protected":false},"author":6,"featured_media":4821,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,107,207,105],"class_list":["post-4819","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","tag-generative-ai","tag-llm","tag-machine-learning"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>AI LLM learns chemical language to develop new polymers. | DailyAI<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/dailyai.com\/nl\/2023\/08\/ai-llm-learns-chemical-language-to-develop-new-polymers\/\" \/>\n<meta property=\"og:locale\" content=\"nl_NL\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"AI LLM learns chemical language to develop new polymers. | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Researchers at Georgia Tech have developed a machine-learning model that makes it a lot easier for materials scientists to develop new polymers. Polymers are large molecules made from long strings of chemical building blocks. We use synthetic polymers like Nylon, Polyester, or plastic packaging every day. Materials scientists try to come up with new arrangements of polymers to make materials that have specific properties. If you wanted a material that was lightweight, stretchy, waterproof, and heat resistant you could make a polymer that had all those properties. 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