{"id":637354,"date":"2019-11-13T04:47:48","date_gmt":"2019-11-13T08:47:48","guid":{"rendered":"https:\/\/spaceweekly.com\/?p=637354"},"modified":"2019-11-13T04:47:48","modified_gmt":"2019-11-13T08:47:48","slug":"deep-learning-expands-study-of-nuclear-waste-remediation","status":"publish","type":"post","link":"https:\/\/spaceweekly.com\/?p=637354","title":{"rendered":"Deep learning expands study of nuclear waste remediation"},"content":{"rendered":"<p>A research collaboration between Lawrence Berkeley National Laboratory (Berkeley Lab), Pacific Northwest National Laboratory (PNNL), Brown University, and NVIDIA has achieved exaflop performance on the Summit supercomputer with a deep learning application used to model subsurface flow in the study of nuclear waste remediation. Their achievement, which will be presented during the &#8220;Deep Learning on Supercomputers&#8221; workshop at SC19, demonstrates the promise of physics-informed generative adversarial networks (GANs) for analyzing complex, large-scale science problems.&#013;<br \/>\n&#013;<br \/>\n&#013;<br \/>\n Click here for original story, <a href=\"https:\/\/phys.org\/news\/2019-11-deep-nuclear-remediation.html\" target=\"_blank\" rel=\"nofollow noopener noreferrer\">Deep learning expands study of nuclear waste remediation<\/a>&#013;<br \/>\n&#013;<br \/>\n&#013;<br \/>\nSource: Phys.org&#013;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>A research collaboration between Lawrence Berkeley National Laboratory (Berkeley Lab), Pacific Northwest National Laboratory (PNNL), Brown University, and NVIDIA has achieved exaflop performance on the Summit supercomputer with a deep&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-637354","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\/637354","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=637354"}],"version-history":[{"count":0,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=\/wp\/v2\/posts\/637354\/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=637354"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=637354"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spaceweekly.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=637354"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}