{"id":139562,"date":"2022-05-18T16:22:47","date_gmt":"2022-05-18T21:22:47","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/05\/self-driving-microscopes-discover-shortcuts-to-new-materials"},"modified":"2022-05-18T16:22:47","modified_gmt":"2022-05-18T21:22:47","slug":"self-driving-microscopes-discover-shortcuts-to-new-materials","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/05\/self-driving-microscopes-discover-shortcuts-to-new-materials","title":{"rendered":"Self-driving microscopes discover shortcuts to new materials"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/self-driving-microscopes-discover-shortcuts-to-new-materials3.jpg\"><\/a><\/p>\n<p>Researchers at the Department of Energy\u2019s Oak Ridge National Laboratory are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab\u2019s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.<\/p>\n<p>\u201cThere are so many potential materials, some of which we cannot study at all with conventional tools, that need more efficient and systematic approaches to design and synthesize,\u201d said Maxim Ziatdinov of ORNL\u2019s Computational Sciences and Engineering Division and the CNMS. \u201cWe can use smart automation to access unexplored materials as well as create a shareable, reproducible path to discoveries that have not previously been possible.\u201d<\/p>\n<p>The approach, published in <i>Nature Machine Intelligence<\/i>, combines physics and machine learning to automate microscopy experiments designed to study materials\u2019 functional properties at the nanoscale.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Researchers at the Department of Energy\u2019s Oak Ridge National Laboratory are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab\u2019s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing. \u201cThere are so many potential materials, some of which we cannot study at [\u2026]<\/p>\n","protected":false},"author":661,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[41,4,219,6,1491],"tags":[],"class_list":["post-139562","post","type-post","status-publish","format-standard","hentry","category-information-science","category-nanotechnology","category-physics","category-robotics-ai","category-transportation"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/139562","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\/661"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=139562"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/139562\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=139562"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=139562"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=139562"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}