{"id":2182,"date":"2024-04-10T13:23:54","date_gmt":"2024-04-10T11:23:54","guid":{"rendered":"http:\/\/10.128.3.28\/?page_id=2182"},"modified":"2025-08-29T11:56:41","modified_gmt":"2025-08-29T09:56:41","slug":"proyecto-combining-high-throughput-calculations-and-machine-learning-for-exploring-the-thermoelectric-efficiency-of-large-chemical-spaces-quaternary-metallic-chalcogenides-2","status":"publish","type":"page","link":"https:\/\/computaex.es\/en\/proyectos\/proyecto-combining-high-throughput-calculations-and-machine-learning-for-exploring-the-thermoelectric-efficiency-of-large-chemical-spaces-quaternary-metallic-chalcogenides-2\/","title":{"rendered":"Combining high-throughput calculations and Machine Learning for exploring the thermoelectric efficiency of large chemical spaces: quaternary metallic chalcogenides"},"content":{"rendered":"<div class=\"field field-name-field-proy-investigadores field-type-text-long field-label-above\">\n<div class=\"field-label\" style=\"text-align: justify;\"><strong>Investigadores:\u00a0<\/strong><\/div>\n<div class=\"field-items\" style=\"text-align: justify;\">\n<div class=\"field-item even\">\n<ul>\n<li>Manuel Alcami.\u00a0<a href=\"https:\/\/www.us.es\/\">Universidad de Sevilla.<\/a><\/li>\n<li>Jose Javier Plata Ramos. Universidad de Sevilla [<a href=\"https:\/\/www.us.es\/\" target=\"_blank\" rel=\"noopener\">US<\/a>].<\/li>\n<\/ul>\n<\/div>\n<\/div>\n<\/div>\n<div class=\"field field-name-field-proy-descripcion field-type-text-long field-label-above\" style=\"text-align: justify;\">\n<div class=\"field-label\"><strong>Descripci\u00f3n:\u00a0<\/strong><\/div>\n<div class=\"field-items\">\n<div class=\"field-item even\">\n<p>Proyecto asignado a trav\u00e9s de la Red Espa\u00f1ola de Supercomputaci\u00f3n (<a href=\"https:\/\/www.res.es\/\" target=\"_blank\" rel=\"noopener\">RES<\/a>).<\/p>\n<p>In our society, more than 66% of generated energy is wasted, most of it as heat. Thermoelectric, TE, devices stand as the most promising technology to recover part of this wasted heat. Traditionally, TE material efficiency is measured by the figure of merit, zT. While there are models designed to predict directly one of the quantities that are related to zT, the biggest challenge is to establish connections between real space (atomic structure, chemical composition and microstructure) and reciprocal space properties (transport properties and zT). Our goal is to connect the variables that can be controlled during the design, synthesis and processing of a TE material with their final transport properties and efficiency.<\/p>\n<\/div>\n<\/div>\n<\/div>\n","protected":false},"excerpt":{"rendered":"<p>Investigadores:\u00a0 Manuel Alcami.\u00a0Universidad de Sevilla. Jose Javier Plata Ramos. Universidad de Sevilla [US]. Descripci\u00f3n:\u00a0 Proyecto asignado a trav\u00e9s de la Red Espa\u00f1ola de Supercomputaci\u00f3n (RES). In our society, more than &#8230;<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":9950,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[103,81],"tags":[],"class_list":["post-2182","page","type-page","status-publish","hentry","category-ciencias-de-la-vida","category-proyectos"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Combining high-throughput calculations and Machine Learning for exploring the thermoelectric efficiency of large chemical spaces: quaternary metallic chalcogenides - Fundaci\u00f3n COMPUTAEX<\/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:\/\/computaex.es\/en\/proyectos\/proyecto-combining-high-throughput-calculations-and-machine-learning-for-exploring-the-thermoelectric-efficiency-of-large-chemical-spaces-quaternary-metallic-chalcogenides-2\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Combining high-throughput calculations and Machine Learning for exploring the thermoelectric efficiency of large chemical spaces: quaternary metallic chalcogenides - Fundaci\u00f3n COMPUTAEX\" \/>\n<meta property=\"og:description\" content=\"Investigadores:\u00a0 Manuel Alcami.\u00a0Universidad de Sevilla. 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