{"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\/nb\/2023\/08\/ai-llm-learns-chemical-language-to-develop-new-polymers\/","title":{"rendered":"AI LLM l\u00e6rer seg kjemisk spr\u00e5k for \u00e5 utvikle nye polymerer."},"content":{"rendered":"<p><strong>Forskere ved Georgia Tech har utviklet en maskinl\u00e6ringsmodell som gj\u00f8r det mye enklere for materialforskere \u00e5 utvikle nye polymerer.<\/strong><\/p>\n<p><span style=\"font-weight: 400;\">Polymerer er store molekyler som er laget av lange kjeder av kjemiske byggesteiner. Vi bruker syntetiske polymerer som nylon, polyester eller plastemballasje hver dag.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Materialforskere pr\u00f8ver \u00e5 finne nye sammensetninger av polymerer for \u00e5 lage materialer med spesifikke egenskaper. Hvis du ville ha et materiale som var lett, elastisk, vanntett og varmebestandig, kunne du lage en polymer som hadde alle disse egenskapene.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Problemet er at det er en enorm oppgave \u00e5 finne ut hvilken kombinasjon av kjemikalier som vil skape en polymer med disse egenskapene. Det finnes uendelig mange kombinasjoner, og det er ekstremt vanskelig \u00e5 forutsi hvilke egenskaper en ny polymer vil ha.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Den <\/span><a href=\"https:\/\/research.gatech.edu\/revolutionary-ai-algorithm-learns-chemical-language-and-accelerates-polymer-research\"><span style=\"font-weight: 400;\">Georgia Tech-forskere<\/span><\/a><span style=\"font-weight: 400;\"> har trent sin LLM, kalt polyBERT, p\u00e5 et datasett med 80 millioner kjemiske polymerstrukturer. Resultatet er en modell som forst\u00e5r kjemikaliespr\u00e5ket.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">P\u00e5 samme m\u00e5te som LLM-er f\u00e5r oppl\u00e6ring i et spr\u00e5k som engelsk, forst\u00e5r polyBERT n\u00e5 grammatikken og syntaksen i hvordan kjemikalier og atomer kombineres for \u00e5 skape polymerer.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">National Science Foundation (NSF) finansierte forskningen bak polyBERT. Programdirekt\u00f8r Debora Rodrigues sa at forskerne \"utviklet et nytt verkt\u00f8y for kunstig intelligens for \u00e5 l\u00f8se utfordringen med \u00e5 finne ut hvilke kombinasjoner av kjemikalier som gir de mest effektive polymerene\".<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Ved \u00e5 bruke polyBERT kan materialforskere jobbe seg gjennom kombinasjoner av kjemikalier mer enn 100 ganger raskere enn f\u00f8r. Resultatet av \u00e5 bruke modellen er et datasett som omfatter 100 millioner hypotetiske polymerer og deres prediksjoner for 29 egenskaper.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Hvis du er en materialforsker p\u00e5 jakt etter et nytt materiale med helt spesifikke egenskaper, trenger du ikke \u00e5 eksperimentere og h\u00e5pe p\u00e5 det beste, du kan bare konsultere datasettet som AI-en har generert.<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Forskerne trente polyBERT p\u00e5 polymerer, men de sa at den i teorien ogs\u00e5 kan brukes til annen kjemisk forskning.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400;\">Potensialet for \u00e5 skape materialer som er mer b\u00e6rekraftige eller energieffektive, er en umiddelbar fordel ved \u00e5 ta i bruk denne typen kunstig intelligens.<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>Forskere ved Georgia Tech har utviklet en maskinl\u00e6ringsmodell som gj\u00f8r det mye enklere for materialforskere \u00e5 utvikle nye polymerer. Polymerer er store molekyler som er laget av lange kjeder av kjemiske byggesteiner. Vi bruker syntetiske polymerer som nylon, polyester eller plastemballasje hver dag. Materialforskerne pr\u00f8ver \u00e5 finne nye sammensetninger av polymerer for \u00e5 lage materialer med spesifikke egenskaper. Hvis du vil ha et materiale som er lett, elastisk, vanntett og varmebestandig, kan du lage en polymer som har alle disse egenskapene. Problemet er at det er vanskelig \u00e5 finne ut hvilken kombinasjon av kjemikalier som vil skape en<\/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\/nb\/2023\/08\/ai-llm-learns-chemical-language-to-develop-new-polymers\/\" \/>\n<meta property=\"og:locale\" content=\"nb_NO\" \/>\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. The problem is that figuring out which combination of chemicals would create a\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/nb\/2023\/08\/ai-llm-learns-chemical-language-to-develop-new-polymers\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-08-30T10:42:51+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/08\/Materials-scientist-polymers.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"667\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Eugene van der Watt\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:site\" content=\"@DailyAIOfficial\" \/>\n<meta name=\"twitter:label1\" content=\"Skrevet av\" \/>\n\t<meta name=\"twitter:data1\" content=\"Eugene van der Watt\" \/>\n\t<meta name=\"twitter:label2\" content=\"Ansl. lesetid\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutter\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"NewsArticle\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/\"},\"author\":{\"name\":\"Eugene van der Watt\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/#\\\/schema\\\/person\\\/7ce525c6d0c79838b7cc7cde96993cfa\"},\"headline\":\"AI LLM learns chemical language to develop new polymers.\",\"datePublished\":\"2023-08-30T10:42:51+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/\"},\"wordCount\":346,\"publisher\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/Materials-scientist-polymers.jpg\",\"keywords\":[\"AI benefits\",\"Generative AI\",\"LLM\",\"machine learning\"],\"articleSection\":[\"Industry\"],\"inLanguage\":\"nb-NO\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/\",\"url\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/\",\"name\":\"AI LLM learns chemical language to develop new polymers. | DailyAI\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/Materials-scientist-polymers.jpg\",\"datePublished\":\"2023-08-30T10:42:51+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/#breadcrumb\"},\"inLanguage\":\"nb-NO\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"nb-NO\",\"@id\":\"https:\\\/\\\/dailyai.com\\\/2023\\\/08\\\/ai-llm-learns-chemical-language-to-develop-new-polymers\\\/#primaryimage\",\"url\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/Materials-scientist-polymers.jpg\",\"contentUrl\":\"https:\\\/\\\/dailyai.com\\\/wp-content\\\/uploads\\\/2023\\\/08\\\/Materials-scientist-polymers.jpg\",\"width\":1000,\"height\":667,\"caption\":\"Materials scientist - 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