{"id":163076,"date":"2023-04-30T11:24:55","date_gmt":"2023-04-30T16:24:55","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/04\/deep-learning-system-explores-materials-interiors-from-the-outside"},"modified":"2023-04-30T11:24:55","modified_gmt":"2023-04-30T16:24:55","slug":"deep-learning-system-explores-materials-interiors-from-the-outside","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/04\/deep-learning-system-explores-materials-interiors-from-the-outside","title":{"rendered":"Deep-learning system explores materials\u2019 interiors from the outside"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/deep-learning-system-explores-materials-interiors-from-the-outside.jpg\"><\/a><\/p>\n<p>Maybe you can\u2019t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their new approach allows engineers to figure out what\u2019s going on inside simply by observing properties of the material\u2019s surface.<\/p>\n<p>The team used a type of machine learning known as <a href=\"https:\/\/techxplore.com\/tags\/deep+learning\/\" rel=\"tag\" class=\"\">deep learning<\/a> to compare a large set of simulated data about materials\u2019 external force fields and the corresponding internal structure, and used that to generate a system that could make reliable predictions of the interior from the <a href=\"https:\/\/techxplore.com\/tags\/surface\/\" rel=\"tag\" class=\"\">surface<\/a> data.<\/p>\n<p>The results have been published in the journal <i>Advanced Materials<\/i>, in a paper by doctoral student Zhenze Yang and professor of civil and environmental engineering Markus Buehler.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Maybe you can\u2019t tell a book from its cover, but according to researchers at MIT you may now be able to do the equivalent for materials of all sorts, from an airplane part to a medical implant. Their new approach allows engineers to figure out what\u2019s going on inside simply by observing properties of the [\u2026]<\/p>\n","protected":false},"author":396,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[11,6],"tags":[],"class_list":["post-163076","post","type-post","status-publish","format-standard","hentry","category-biotech-medical","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/163076","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\/396"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=163076"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/163076\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=163076"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=163076"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=163076"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}