{"id":730343,"date":"2022-07-21T12:00:03","date_gmt":"2022-07-21T16:00:03","guid":{"rendered":"http:\/\/spaceweekly.com\/?p=730343"},"modified":"2022-07-21T12:00:03","modified_gmt":"2022-07-21T16:00:03","slug":"a-model-trained-to-predict-spectroscopic-profiles-helps-to-decipher-the-structure-of-materials","status":"publish","type":"post","link":"https:\/\/spaceweekly.com\/?p=730343","title":{"rendered":"A model trained to predict spectroscopic profiles helps to decipher the structure of materials"},"content":{"rendered":"<p>Carbon-based materials hold enormous potential for building a sustainable future, but material scientists need tools to properly analyze their atomic structure, which determines their functional properties. X-ray photoelectron spectroscopy (XPS) is one of the tools used to do this, but XPS results can be challenging to interpret. Now, researchers at Aalto have developed a machine-learning tool to improve XPS analyses, which they have made freely available as the XPS Prediction Server.&#013;<br \/>\n&#013;<br \/>\n&#013;<br \/>\n Click here for original story, <a href=\"https:\/\/phys.org\/news\/2022-07-spectroscopic-profiles-decipher-materials.html\" target=\"_blank\" rel=\"nofollow noopener\">A model trained to predict spectroscopic profiles helps to decipher the structure of materials<\/a>&#013;<br \/>\n&#013;<br \/>\n&#013;<br \/>\nSource: Phys.org&#013;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Carbon-based materials hold enormous potential for building a sustainable future, but material scientists need tools to properly analyze their atomic structure, which determines their functional properties. X-ray photoelectron spectroscopy (XPS)&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-730343","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\/730343","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=730343"}],"version-history":[{"count":0,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/730343\/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=730343"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=730343"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=730343"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}