{"id":620016,"date":"2019-06-10T10:06:38","date_gmt":"2019-06-10T14:06:38","guid":{"rendered":"http:\/\/spaceweekly.com\/?p=620016"},"modified":"2019-06-10T10:06:38","modified_gmt":"2019-06-10T14:06:38","slug":"engineers-use-graph-networks-to-accurately-predict-properties-of-molecules-and-crystals","status":"publish","type":"post","link":"https:\/\/spaceweekly.com\/?p=620016","title":{"rendered":"Engineers use graph networks to accurately predict properties of molecules and crystals"},"content":{"rendered":"<p>Nanoengineers have developed new deep learning models that can accurately predict the properties of molecules and crystals. The models can enable researchers to rapidly scan the nearly-infinite universe of compounds to discover potentially transformative materials for various applications, such as high-energy density Li-ion batteries, warm-white LEDs, and better photovoltaics.&#013;<br \/>\n&#013;<br \/>\n&#013;<br \/>\n Click here for original story, <a href=\"https:\/\/www.sciencedaily.com\/releases\/2019\/06\/190610100638.htm\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Engineers use graph networks to accurately predict properties of molecules and crystals<\/a>&#013;<br \/>\n&#013;<br \/>\n&#013;<br \/>\nSource: ScienceDaily&#013;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nanoengineers have developed new deep learning models that can accurately predict the properties of molecules and crystals. The models can enable researchers to rapidly scan the nearly-infinite universe of compounds&hellip; <\/p>\n","protected":false},"author":1,"featured_media":615444,"comment_status":"false","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-620016","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-genaero"],"_links":{"self":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/620016","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=620016"}],"version-history":[{"count":0,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/620016\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/media\/615444"}],"wp:attachment":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=620016"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=620016"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=620016"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}