{"id":44041,"date":"2023-07-28T21:15:27","date_gmt":"2023-07-28T13:15:27","guid":{"rendered":"https:\/\/swarma.org\/?p=44041"},"modified":"2023-07-28T21:15:27","modified_gmt":"2023-07-28T13:15:27","slug":"pnas%e9%80%9f%e9%80%92%ef%bc%9a%e6%b7%b1%e5%ba%a6%e7%a5%9e%e7%bb%8f%e7%bd%91%e7%bb%9c%e9%a2%84%e6%b5%8b%e5%b0%8f%e5%b0%ba%e5%ba%a6%e6%b9%8d%e6%b5%81%e5%8a%a8%e5%8a%9b%e5%ad%a6","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=44041","title":{"rendered":"PNAS\u901f\u9012\uff1a\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u9884\u6d4b\u5c0f\u5c3a\u5ea6\u6e4d\u6d41\u52a8\u529b\u5b66"},"content":{"rendered":"
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\u8bba\u6587\u6807\u9898\uff1aForecasting small-scale dynamics of fluid turbulence using deep neural networks<\/span><\/section>\n
\u671f\u520a\u6765\u6e90\uff1aPNAS<\/em><\/span><\/section>\n
\u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/paper\/b610e95c-2691-11ee-a79c-0242ac17000d<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/www.pnas.org\/doi\/10.1073\/pnas.2305765120<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n
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\u6e4d\u6d41\u7684\u7279\u70b9\u662f\u5728\u7a7a\u95f4\u548c\u65f6\u95f4\u7684\u5e7f\u6cdb\u76f8\u4e92\u4f5c\u7528\u5c3a\u5ea6\u4e0a\u51fa\u73b0\u5f3a\u70c8\u800c\u6df7\u4e71\u7684\u6ce2\u52a8\u3002\u8fd9\u79cd\u591a\u5c3a\u5ea6\u76f8\u4e92\u4f5c\u7528\u662f\u9ad8\u5ea6\u975e\u7ebf\u6027\u7684\uff0c\u5bfc\u81f4\u63a7\u5236\u65b9\u7a0b\u5728\u6570\u5b66\u4e0a\u96be\u4ee5\u5904\u7406\u3002\u7531\u4e8e\u8fd9\u79cd\u5c3a\u5ea6\u8303\u56f4\u968f\u7740\u6d41\u4f53\u96f7\u8bfa\u6570<\/span>\uff08Reynolds number\uff09<\/span>\u7684\u5e42\u6b21\u589e\u52a0\uff0c\u56e0\u6b64\u5728\u9ad8\u96f7\u8bfa\u6570\u4e0b\u5bf9\u6574\u4e2a\u5c3a\u5ea6\u8303\u56f4\u8fdb\u884c\u7cbe\u786e\u6a21\u62df\u7684\u6210\u672c\u6781\u9ad8\u3002\u6a21\u62df\u6700\u6602\u8d35\u7684\u90e8\u5206\u6d89\u53ca\u5c0f\u5c3a\u5ea6\u8fd0\u52a8\uff1b\u56e0\u6b64\uff0c\u7814\u7a76\u7684\u5173\u952e\u5728\u4e8e\u5229\u7528\u5c0f\u5c3a\u5ea6\u8fd0\u52a8\u7684\u5047\u5b9a\u666e\u904d\u6027\uff0c\u91cd\u70b9\u662f\u7406\u89e3\u5c0f\u5c3a\u5ea6\u8fd0\u52a8\u5e76\u5bf9\u5176\u8fdb\u884c\u5efa\u6a21\u3002<\/span><\/section>\n

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\u5728\u8fd9\u7bc7\u6700\u65b0\u53d1\u8868\u4e8ePNAS\u7684\u6587\u7ae0\u4e2d\uff0c\u4f5c\u8005\u4f7f\u7528\u7269\u7406\u542f\u53d1\u7684\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\uff0c\u63d0\u51fa\u4e86\u4e00\u4e2a\u5efa\u6a21\u6846\u67b6\uff0c\u901a\u8fc7\u901f\u5ea6\u68af\u5ea6\u5f20\u91cf<\/span>\uff08velocity gradient tensor\uff09<\/span>\u6765\u6355\u6349\u548c\u9884\u6d4b\u6e4d\u6d41\u7684\u5c0f\u5c3a\u5ea6\u52a8\u529b\u5b66\u3002\u8be5\u6a21\u578b\u57fa\u4e8e\u83b7\u53d6\u538b\u5f3a Hessian \u77e9\u9635\u548c\u7c98\u6027\u62c9\u666e\u62c9\u65af\u51fd\u6570\u4f5c\u4e3a\u901f\u5ea6\u68af\u5ea6\u5f20\u91cf\u7684\u51fd\u6570\u95ed\u5305\u3002\u8fd9\u9879\u4efb\u52a1\u5229\u7528\u7b26\u5408\u7269\u7406\u7ea6\u675f\u6761\u4ef6\u7684\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u5b8c\u6210\uff0c\u8be5\u7f51\u7edc\u660e\u786e\u7eb3\u5165\u4e86\u96f7\u8bfa\u6570\u4f9d\u8d56\u6027\uff0c\u4ee5\u8003\u8651\u5c0f\u5c3a\u5ea6\u95f4\u6b47\u6027\u3002\u7136\u540e\uff0c\u4f5c\u8005\u4f7f\u7528\u4e00\u4e2a\u5305\u542b\u4e24\u4e2a\u6570\u91cf\u7ea7\u7684\u5927\u5c3a\u5ea6\u96f7\u8bfa\u6570\u7684\u5927\u578b\u76f4\u63a5\u6570\u503c\u6a21\u62df\u6570\u636e\u5e93\u8fdb\u884c\u8bad\u7ec3\u548c\u9a8c\u8bc1\u3002\u6a21\u578b\u4ece\u4f4e\u5230\u4e2d\u7b49\u96f7\u8bfa\u6570\u8fdb\u884c\u6df1\u5ea6\u5b66\u4e60\uff0c\u5e76\u6210\u529f\u9884\u6d4b\u5728\u5df2\u89c1\u548c\u672a\u89c1\u7684\u66f4\u9ad8\u96f7\u8bfa\u6570\u4e0b\u7684\u901f\u5ea6\u68af\u5ea6\u7edf\u8ba1\u3002\u8fd9\u7bc7\u6587\u7ae0\u7684\u65b9\u6cd5\u6210\u529f\u8868\u660e\uff0c\u6df1\u5ea6\u5b66\u4e60\u5728\u6355\u6349\u548c\u9884\u6d4b\u6e4d\u6d41\u7684\u5c0f\u5c3a\u5ea6\u7279\u5f81\u65b9\u9762\uff0c\u6bd4\u4f20\u7edf\u7684\u5efa\u6a21\u65b9\u6cd5\u66f4\u5177\u6709\u53ef\u884c\u6027\u3002<\/span><\/section>\n

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\u56fe1. Reynolds\u6570\u6807\u5ea6\u7684\u57fa\u4e8e\u5f20\u91cf\u7684\u795e\u7ecf\u7f51\u7edc\uff08ReS-TBNN\uff09\u67b6\u6784\u7528\u4e8e\u5efa\u6a21\u504f\u5dee\u538b\u5f3a Hessian\u3002<\/span><\/p>\n


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\u56fe2. \u6bd4\u8f83\u901f\u5ea6\u68af\u5ea6\u5f20\u91cf\u4e0d\u53d8\u91cf\u7684\u8054\u5408\u6982\u7387\u5bc6\u5ea6\u51fd\u6570\u7684\u6a21\u62df\u7ed3\u679c\u3002<\/span><\/section>\n

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\u56fe3. \u5728ReS-TBNN\u6a21\u578b\u5bf9\u538b\u529bHessian\u548c\u7c98\u6027Laplacian\u9879\u8fdb\u884c\u8bad\u7ec3\u65f6\uff0c\u635f\u5931\u51fd\u6570\u7684\u8870\u51cf\u3002<\/span><\/p>\n


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AI+Science \u8bfb\u4e66\u4f1a<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u53d1\u73b0\u76f8\u4e92\u8d4b\u80fd\u7684\u65b0\u8303\u5f0f\uff1aAI+Science \u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span><\/section>\n

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\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/p>\n

\u200d<\/span>1. <\/strong>\u4e92\u8054\u7f51\u4e0a\u7684\u6e4d\u6d41\uff1a\u793e\u4ea4\u5a92\u4f53\u4e0a\u7684\u51b2\u51fb\u6ce2\u884c\u4e3a | PRL \u901f\u9012<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> Nature Physics \u901f\u9012\uff1a\u6e4d\u6d41\u5982\u4f55\u4ea7\u751f\u548c\u6f14\u5316\uff1f\u6da1\u73af\u751f\u6210\u5b64\u7acb\u6e4d\u6d41\u56e2<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong><\/strong>\u5927\u8111\u70ed\u529b\u5b66\uff1a\u5229\u7528\u201c\u6e4d\u6d41\u201d\u8fdc\u79bb\u5e73\u8861\u6001<\/a><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n
4. <\/strong><\/strong><\/span>\u5f20\u6c5f\uff1a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406 | \u96c6\u667a\u5b66\u56ed\u5168\u65b0\u8bfe\u7a0b<\/a><\/strong><\/strong><\/span><\/section>\n
5. \u300a\u5f20\u6c5f\u00b7\u590d\u6742\u79d1\u5b66\u524d\u6cbf27\u8bb2\u300b\u5b8c\u6574\u4e0a\u7ebf\uff01<\/strong><\/a><\/strong><\/strong><\/strong><\/section>\n
6. <\/strong><\/strong>\u52a0\u5165\u96c6\u667a\u5b66\u56edVIP\uff0c\u83b7\u5f9720\u5468\u5e74\u201c\u6d8c\u73b0\u201d\u5b66\u672f\u5e74\u4f1a\u5165\u573a\u5238\uff01<\/a><\/strong><\/strong><\/strong><\/strong><\/span><\/section>\n
7. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n

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\u70b9\u51fb\u201c\u9605\u8bfb\u539f\u6587\u201d\uff0c\u62a5\u540d\u8bfb\u4e66\u4f1a<\/strong><\/strong><\/span><\/strong><\/section>\n

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  \u5173\u952e\u8bcd\uff1a\u6e4d\u6d41\uff0c\u7269\u7406\u542f\u53d1\u7684\u6df1\u5ea6\u5b66\u4e60\uff0c\u6570\u503c\u6a21\u62df\uff0c\u5c0f\u5c3a\u5ea6\u52a8\u529b\u5b66 \u8bba\u6587\u6807\u9898\uff1aForecasting small-scale dynamics of fluid turbulence using deep neural networks \u671f\u520a\u6765\u6e90\uff1aPNAS \u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/patter…<\/p>\n","protected":false},"author":0,"featured_media":44035,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"special":[],"_links":{"self":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/44041"}],"collection":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=44041"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/44041\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/44035"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=44041"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=44041"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=44041"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=44041"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}