{"id":149660,"date":"2022-11-07T21:24:35","date_gmt":"2022-11-08T03:24:35","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2022\/11\/artificial-intelligence-deciphers-detector-clouds-to-accelerate-materials-research"},"modified":"2022-11-07T21:24:35","modified_gmt":"2022-11-08T03:24:35","slug":"artificial-intelligence-deciphers-detector-clouds-to-accelerate-materials-research","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2022\/11\/artificial-intelligence-deciphers-detector-clouds-to-accelerate-materials-research","title":{"rendered":"Artificial intelligence deciphers detector \u2018clouds\u2019 to accelerate materials research"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/artificial-intelligence-deciphers-detector-clouds-to-accelerate-materials-research.jpg\"><\/a><\/p>\n<p>X-rays can be used like a superfast, atomic-resolution camera, and if researchers shoot a pair of X-ray pulses just moments apart, they get atomic-resolution snapshots of a system at two points in time. Comparing these snapshots shows how a material fluctuates within a tiny fraction of a second, which could help scientists design future generations of super-fast computers, communications, and other technologies.<\/p>\n<p>Resolving the information in these X-ray snapshots, however, is difficult and time intensive, so Joshua Turner, a lead scientist at the Department of Energy\u2019s SLAC National Accelerator Center and Stanford University, and ten other researchers turned to artificial intelligence to automate the process. Their machine learning-aided method, published October 17 in <i>Structural Dynamics<\/i>, accelerates this X-ray probing technique, and extends it to previously inaccessible materials.<\/p>\n<p>\u201cThe most exciting thing to me is that we can now access a different range of measurements, which we couldn\u2019t before,\u201d Turner said.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>X-rays can be used like a superfast, atomic-resolution camera, and if researchers shoot a pair of X-ray pulses just moments apart, they get atomic-resolution snapshots of a system at two points in time. Comparing these snapshots shows how a material fluctuates within a tiny fraction of a second, which could help scientists design future generations [\u2026]<\/p>\n","protected":false},"author":427,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1635,6],"tags":[],"class_list":["post-149660","post","type-post","status-publish","format-standard","hentry","category-materials","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/149660","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\/427"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=149660"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/149660\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=149660"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=149660"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=149660"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}