{"id":720252,"date":"2022-04-04T11:24:16","date_gmt":"2022-04-04T15:24:16","guid":{"rendered":"https:\/\/spaceweekly.com\/?p=720252"},"modified":"2022-04-04T11:24:16","modified_gmt":"2022-04-04T15:24:16","slug":"machine-learning-method-creates-a-learnable-chemical-grammar-to-build-synthesizable-monomers-and-polymers","status":"publish","type":"post","link":"https:\/\/spaceweekly.com\/?p=720252","title":{"rendered":"Machine-learning method creates a learnable chemical grammar to build synthesizable monomers and polymers"},"content":{"rendered":"<p>Chemical engineers and materials scientists are constantly looking for the next revolutionary material, chemical, and drug. The rise of machine-learning approaches is expediting the discovery process, which could otherwise take years. &#8220;Ideally, the goal is to train a machine-learning model on a few existing chemical samples and then allow it to produce as many manufacturable molecules of the same class as possible, with predictable physical properties,&#8221; says Wojciech Matusik, professor of electrical engineering and computer science at MIT. &#8220;If you have all these components, you can build new molecules with optimal properties, and you also know how to synthesize them. That&#8217;s the overall vision that people in that space want to achieve&#8221;&#013;<br \/>\n&#013;<br \/>\n&#013;<br \/>\n Click here for original story, <a href=\"https:\/\/phys.org\/news\/2022-04-machine-learning-method-learnable-chemical-grammar.html\" target=\"_blank\" rel=\"nofollow noopener\">Machine-learning method creates a learnable chemical grammar to build synthesizable monomers and polymers<\/a>&#013;<br \/>\n&#013;<br \/>\n&#013;<br \/>\nSource: Phys.org&#013;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Chemical engineers and materials scientists are constantly looking for the next revolutionary material, chemical, and drug. The rise of machine-learning approaches is expediting the discovery process, which could otherwise take&hellip; <\/p>\n","protected":false},"author":1,"featured_media":615444,"comment_status":"false","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41],"tags":[],"class_list":["post-720252","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-phys-org"],"_links":{"self":[{"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/720252","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=720252"}],"version-history":[{"count":0,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/720252\/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=720252"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=720252"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=720252"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}