{"id":73240,"date":"2017-10-12T15:44:09","date_gmt":"2017-10-12T22:44:09","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2017\/10\/scientists-develop-machine-learning-method-to-predict-the-behavior-of-molecules"},"modified":"2017-10-12T15:44:09","modified_gmt":"2017-10-12T22:44:09","slug":"scientists-develop-machine-learning-method-to-predict-the-behavior-of-molecules","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2017\/10\/scientists-develop-machine-learning-method-to-predict-the-behavior-of-molecules","title":{"rendered":"Scientists develop machine-learning method to predict the behavior of molecules"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/scientists-develop-machine-learning-method-to-predict-the-behavior-of-molecules2.jpg\"><\/a><\/p>\n<p>An international, interdisciplinary research team of scientists has come up with a machine-learning method that predicts molecular behavior, a breakthrough that can aid in the development of pharmaceuticals and the design of new molecules that can be used to enhance the performance of emerging battery technologies, solar cells, and digital displays.<\/p>\n<p>The work appears in the journal <i>Nature Communications<\/i>.<\/p>\n<p>\u201cBy identifying patterns in <a href=\"https:\/\/phys.org\/tags\/molecular+behavior\/\" rel=\"tag\" class=\"\">molecular behavior<\/a>, the learning algorithm or \u2018machine\u2019 we created builds a knowledge base about atomic interactions within a molecule and then draws on that information to predict new phenomena,\u201d explains New York University\u2019s Mark Tuckerman, a professor of chemistry and mathematics and one of the paper\u2019s primary authors.<\/p>\n<p><!-- Link: <a href=\"https:\/\/phys.org\/news\/2017-10-scientists-machine-learning-method-behavior-molecules.html\">https:\/\/phys.org\/news\/2017&#45;10-scientists-machine-learnin...cules.html<\/a> --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>An international, interdisciplinary research team of scientists has come up with a machine-learning method that predicts molecular behavior, a breakthrough that can aid in the development of pharmaceuticals and the design of new molecules that can be used to enhance the performance of emerging battery technologies, solar cells, and digital displays. The work appears in [\u2026]<\/p>\n","protected":false},"author":367,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,6,1633,17],"tags":[],"class_list":["post-73240","post","type-post","status-publish","format-standard","hentry","category-information-science","category-robotics-ai","category-solar-power","category-sustainability"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/73240","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/367"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=73240"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/73240\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=73240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=73240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=73240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}