{"id":11049,"date":"2022-10-19T08:24:48","date_gmt":"2022-10-19T11:24:48","guid":{"rendered":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=11049"},"modified":"2022-10-19T08:24:48","modified_gmt":"2022-10-19T11:24:48","slug":"la-ia-estan-ayudando-a-desarrollar-mejores-baterias","status":"publish","type":"post","link":"https:\/\/www.fie.undef.edu.ar\/ceptm\/?p=11049","title":{"rendered":"La IA est\u00e1n ayudando a desarrollar mejores bater\u00edas"},"content":{"rendered":"<p>Alrededor del comienzo del a\u00f1o, los investigadores de Carnegie Mellon utilizaron un sistema rob\u00f3tico para ejecutar docenas de experimentos dise\u00f1ados para generar electrolitos que podr\u00edan permitir que las bater\u00edas de iones de litio se carguen m\u00e1s r\u00e1pido, abordando uno de los principales obst\u00e1culos para la adopci\u00f3n generalizada de veh\u00edculos el\u00e9ctricos.<\/p>\n<hr \/>\n<p><b>PITTSBURGH &#8211;<\/b>\u00a0Around the start of the year, Carnegie Mellon researchers used a robotic system to run dozens of experiments designed to generate electrolytes that could enable lithium-ion batteries to charge faster, addressing one of the major obstacles to the widespread adoption of electric vehicles, James Temple reports for the\u00a0<i>MIT Technology Review<\/i>.<\/p>\n<p><b>The Military &amp; Aerospace Electronics take:<\/b><\/p>\n<p><b>30 September 2022 &#8211;\u00a0<\/b>According to Temple, CMU used the system of automated pumps, valves, and instruments, known as Clio, mixed various solvents, salts, and other chemicals together, then measured how the solution performed on critical battery benchmarks. Those results were then fed into a machine-learning system, known as Dragonfly, that used the data to propose different chemical combinations that might work even better.<\/p>\n<p>According to the study abstract, published in\u00a0<i>Nature<\/i>, &#8220;Clio can efficiently and autonomously explore and optimize an objective over a given design space. We consider optimization for fast-charging, focusing initially on single objective optimization of the bulk ionic conductivity as an objective for improving battery rate-capability performance. While this aspect is a preliminary objective function, the workflow introduced in this paper can also enable effective multi-objective optimization25 of electrolytes in future studies. Clio autonomously optimized conductivity over solvent mass fraction and salt molality in a design space featuring: ethylene carbonate (EC), ethyl-methyl carbonate (EMC), and dimethyl carbonate (DMC) as a ternary solvent combination; and lithium hexafluorophosphate (LiPF6) as a single-salt system. Optimal electrolytes are passed through a sequence of fast-charging electrochemical tests conducted in graphite\u2223\u2223LiNi0.5Mn0.3Co0.2O2 pouch cells. These results are reported against a baseline electrolyte selected a priori from the design space.&#8221;<\/p>\n<p><strong>Fuente:<\/strong> <a href=\"https:\/\/www.militaryaerospace.com\/home\/article\/14283553\/how-robots-and-ai-are-helping-develop-better-batteries\" target=\"_blank\" rel=\"noopener\"><em>https:\/\/www.militaryaerospace.com<\/em><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Alrededor del comienzo del a\u00f1o, los investigadores de Carnegie Mellon utilizaron un sistema rob\u00f3tico para ejecutar docenas de experimentos dise\u00f1ados para generar electrolitos que podr\u00edan&hellip; <\/p>\n","protected":false},"author":1,"featured_media":11050,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[11,24],"tags":[],"_links":{"self":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/11049"}],"collection":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=11049"}],"version-history":[{"count":1,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/11049\/revisions"}],"predecessor-version":[{"id":11051,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/posts\/11049\/revisions\/11051"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=\/wp\/v2\/media\/11050"}],"wp:attachment":[{"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=11049"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=11049"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.fie.undef.edu.ar\/ceptm\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=11049"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}