{"id":8531,"date":"2023-12-20T16:29:30","date_gmt":"2023-12-20T16:29:30","guid":{"rendered":"https:\/\/dailyai.com\/?p=8531"},"modified":"2023-12-21T10:38:38","modified_gmt":"2023-12-21T10:38:38","slug":"ml-boosts-x-ray-diffraction-techniques-to-find-new-materials","status":"publish","type":"post","link":"https:\/\/dailyai.com\/es\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/","title":{"rendered":"ML potencia las t\u00e9cnicas de difracci\u00f3n de rayos X para hallar nuevos materiales"},"content":{"rendered":"<p><strong>Los cient\u00edficos de materiales intentan constantemente encontrar nuevos materiales con propiedades espec\u00edficas, pero los datos experimentales que tienen que examinar son abrumadores. Cient\u00edficos de la Universidad de Rochester utilizaron el aprendizaje autom\u00e1tico para acelerar el descubrimiento de nuevos materiales.<\/strong><\/p>\n<p>Los materiales cristalinos tienen una estructura cristalina bien ordenada y repetitiva, una disposici\u00f3n regular y repetitiva de \u00e1tomos, iones o mol\u00e9culas. La disposici\u00f3n de estas redes cristalinas es lo que confiere a un material sus propiedades espec\u00edficas.<\/p>\n<p>\u00bfQuiere un material duro, resistente a altas temperaturas y ligero? Tienes que conseguir la estructura reticular adecuada para lograrlo.<\/p>\n<p>Cuando los cient\u00edficos de materiales sintetizan una peque\u00f1a cantidad de un nuevo material, quieren saber qu\u00e9 tipo de propiedades tendr\u00e1 para decidir si es viable o no para una aplicaci\u00f3n concreta.<\/p>\n<p>Para ello utilizan un proceso denominado difracci\u00f3n de rayos X (DRX). Normalmente, la muestra de material se muele hasta obtener un polvo fino y, a continuaci\u00f3n, se expone a los rayos X. Cuando los rayos X inciden en los \u00e1tomos del material, se difractan en varias direcciones, dependiendo de la disposici\u00f3n at\u00f3mica.<\/p>\n<p>Los rayos X difractados crean un patr\u00f3n en un detector que los cient\u00edficos necesitan analizar para deducir las propiedades que tiene el material. El problema es que la DRX produce una enorme cantidad de datos que est\u00e1 m\u00e1s all\u00e1 de la capacidad humana para procesarlos eficazmente.<\/p>\n<h2>Automatizaci\u00f3n del an\u00e1lisis de materiales<\/h2>\n<p><a href=\"https:\/\/www.nature.com\/articles\/s41524-023-01164-8\" target=\"_blank\" rel=\"noopener\">El estudio<\/a>dirigido por un estudiante de doctorado en ciencias de los materiales <a href=\"https:\/\/www.hajim.rochester.edu\/me\/sites\/abdolrahim\/people\/graduate-students\/jerardo-salgado\/index.html\" target=\"_blank\" rel=\"noopener\">Jerardo Salgado<\/a>desarrollaron modelos de aprendizaje profundo para automatizar la clasificaci\u00f3n de materiales bas\u00e1ndose en sus patrones de DRX.<\/p>\n<p>Los modelos de aprendizaje autom\u00e1tico que utilizaron emplean redes neuronales convolucionales (CNN), un tipo de red neuronal realmente bueno para realizar tareas de reconocimiento y clasificaci\u00f3n de im\u00e1genes.<\/p>\n<p>Los modelos se entrenaron con un gran conjunto de datos de patrones sint\u00e9ticos de DRX, generados para representar una amplia gama de condiciones experimentales y tipos de materiales.<\/p>\n<p>Jefe de proyecto <a href=\"https:\/\/www.hajim.rochester.edu\/me\/people\/faculty\/abdolrahim_niaz\/index.html\" target=\"_blank\" rel=\"noopener\">Niaz Abdolrahim<\/a>profesor de ingenier\u00eda mec\u00e1nica de la Universidad de Rochester, \"en cada una de estas im\u00e1genes se esconde mucha ciencia y f\u00edsica de los materiales, y cada d\u00eda se producen terabytes de datos en instalaciones y laboratorios de todo el mundo\".<\/p>\n<p>Al explicar las ventajas del aprendizaje autom\u00e1tico en su campo, Abdolrahim afirm\u00f3: \"Desarrollar un buen modelo para analizar estos datos puede ayudar realmente a agilizar la innovaci\u00f3n en materiales, comprender los materiales en condiciones extremas y desarrollar materiales para diferentes aplicaciones tecnol\u00f3gicas.\"<\/p>\n<p>El uso de modelos de aprendizaje autom\u00e1tico para filtrar los datos de DRX podr\u00eda acelerar el desarrollo de dispositivos electr\u00f3nicos m\u00e1s r\u00e1pidos, mejores bater\u00edas o incluso art\u00edculos de uso cotidiano con mayor durabilidad, funcionalidad o sostenibilidad.<\/p>\n<p>Investigadores del <a href=\"https:\/\/cmap.rochester.edu\/\" target=\"_blank\" rel=\"noopener\">Centro de Materia a Presiones At\u00f3micas<\/a> tienen un inter\u00e9s especial en esta aplicaci\u00f3n del aprendizaje autom\u00e1tico. Utilizar la DRX mientras se exponen materiales a presiones y temperaturas extremas ayudar\u00e1 a los cient\u00edficos no solo a descubrir formas de crear nuevos materiales, sino tambi\u00e9n a aprender sobre la formaci\u00f3n de estrellas y planetas.<\/p>\n<p>El uso de la IA para liberar a las mentes cient\u00edficas de la pesadez del an\u00e1lisis de datos har\u00e1 que su pensamiento creativo se dirija mejor al dise\u00f1o de los materiales que dar\u00e1n forma a nuestro futuro.<\/p>","protected":false},"excerpt":{"rendered":"<p>Los cient\u00edficos de materiales intentan constantemente encontrar nuevos materiales con propiedades espec\u00edficas, pero los datos experimentales que tienen que examinar son abrumadores. Cient\u00edficos de la Universidad de Rochester han utilizado el aprendizaje autom\u00e1tico para acelerar el descubrimiento de nuevos materiales. Los materiales cristalinos tienen una estructura de red cristalina bien ordenada y repetitiva, una disposici\u00f3n regular y repetitiva de \u00e1tomos, iones o mol\u00e9culas. La disposici\u00f3n de estas redes cristalinas es lo que confiere a un material sus propiedades espec\u00edficas. \u00bfQuiere un material duro, resistente a altas temperaturas y ligero? Para ello hay que conseguir la estructura reticular adecuada. Cuando los cient\u00edficos de materiales sintetizan una peque\u00f1a cantidad de<\/p>","protected":false},"author":6,"featured_media":8534,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[84],"tags":[150,105],"class_list":["post-8531","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-industry","tag-ai-benefits","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>ML boosts X-ray diffraction techniques to find new materials | 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\/es\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"ML boosts X-ray diffraction techniques to find new materials | DailyAI\" \/>\n<meta property=\"og:description\" content=\"Material scientists are constantly trying to find new materials with specific properties but the experimental data they have to wade through is overwhelming. Scientists at the University of Rochester used machine learning to fast-track new materials discovery. Crystalline materials have a well-ordered, repeating crystal lattice structure, a regular, repeating arrangement of atoms, ions, or molecules. The arrangement of these crystal lattices is what gives a material specific properties. Want a material that\u2019s hard, handles high temperatures, and is lightweight? You\u2019ve got to get just the right lattice structure to make that happen. When material scientists synthesize a small amount of\" \/>\n<meta property=\"og:url\" content=\"https:\/\/dailyai.com\/es\/2023\/12\/ml-boosts-x-ray-diffraction-techniques-to-find-new-materials\/\" \/>\n<meta property=\"og:site_name\" content=\"DailyAI\" \/>\n<meta property=\"article:published_time\" content=\"2023-12-20T16:29:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2023-12-21T10:38:38+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/dailyai.com\/wp-content\/uploads\/2023\/12\/material-crystal-lattice.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1792\" \/>\n\t<meta property=\"og:image:height\" content=\"1024\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\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 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