{"id":44012,"date":"2023-07-27T21:57:49","date_gmt":"2023-07-27T13:57:49","guid":{"rendered":"https:\/\/swarma.org\/?p=44012"},"modified":"2023-07-27T21:57:49","modified_gmt":"2023-07-27T13:57:49","slug":"nat-mach-intell-%e9%80%9f%e9%80%92%ef%bc%9a%e7%bc%96%e7%a0%81%e7%89%a9%e7%90%86%e5%ad%a6%e6%9d%a5%e5%ad%a6%e4%b9%a0%e5%8f%8d%e5%ba%94%e6%89%a9%e6%95%a3%e8%bf%87%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=44012","title":{"rendered":"Nat. Mach. Intell. \u901f\u9012\uff1a\u7f16\u7801\u7269\u7406\u5b66\u6765\u5b66\u4e60\u53cd\u5e94\u6269\u6563\u8fc7\u7a0b"},"content":{"rendered":"
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\u5173\u952e\u8bcd\uff1a\u590d\u6742\u65f6\u7a7a\u52a8\u529b\u5b66\uff0c\u504f\u5fae\u5206\u65b9\u7a0b\uff0c\u7269\u7406\u542f\u53d1\u673a\u5668\u5b66\u4e60\uff0c\u6df1\u5ea6\u5b66\u4e60\uff0c\u53cd\u5e94-\u6269\u6563\u8fc7\u7a0b<\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/p>\n


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\u8bba\u6587\u6807\u9898\uff1aEncoding physics to learn reaction-diffusion processes<\/span><\/section>\n
\u8bba\u6587\u6765\u6e90\uff1aNature Machine Intelligence<\/em><\/span><\/section>\n
\u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/paper\/e3d0cc1a-24f5-11ee-931d-0242ac17000d<\/span><\/section>\n
\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s42256-023-00685-7<\/span><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n

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\u590d\u6742\u7684\u65f6\u7a7a\u52a8\u529b\u7cfb\u7edf\uff0c\u5982\u53cd\u5e94-\u6269\u6563<\/span>\uff08Reaction\u2013diffusion, RD\uff09<\/span>\u8fc7\u7a0b\uff0c\u53ef\u4ee5\u5728\u5404\u5b66\u79d1\u7684\u8bb8\u591a\u57fa\u672c\u52a8\u529b\u5b66\u6548\u5e94\u4e2d\u627e\u5230\uff0c\u5bf9\u5176\u5efa\u6a21\u4e3b\u8981\u4f9d\u8d56\u4e8e\u627e\u5230\u57fa\u672c\u504f\u5fae\u5206\u65b9\u7a0b<\/span>\uff08PDEs\uff09<\/span>\u3002\u7136\u800c\u5728\u8bb8\u591a\u60c5\u51b5\u4e0b\uff0c\u7531\u4e8e\u5148\u9a8c\u77e5\u8bc6\u4e0d\u8db3\u4ee5\u53ca\u7f3a\u4e4f\u63cf\u8ff0\u7cfb\u7edf\u53d8\u91cf\u975e\u7ebf\u6027\u8fc7\u7a0b\u7684\u660e\u786e\u7684\u504f\u5fae\u5206\u65b9\u7a0b\u516c\u5f0f\uff0c\u9884\u6d4b\u8fd9\u4e9b\u7cfb\u7edf\u7684\u6f14\u53d8\u4f1a\u662f\u4e00\u9879\u5177\u6709\u6311\u6218\u6027\u7684\u4efb\u52a1\u3002<\/span><\/section>\n

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\u7528\u6700\u65b0\u7684\u6570\u636e\u9a71\u52a8\u65b9\u6cd5\uff0c\u53ef\u4ee5\u4ece\u6d4b\u91cf\u6570\u636e\u4e2d\u5b66\u4e60\uff0c\u540c\u65f6\u589e\u52a0\u5148\u9a8c\u7269\u7406\u77e5\u8bc6\u3002\u7136\u800c\uff0c\u73b0\u6709\u7684\u7269\u7406\u542f\u53d1\u673a\u5668\u5b66\u4e60<\/span>\uff08physics-informed machine learning\uff09<\/span>\u8303\u5f0f\u901a\u8fc7\u8f6f\u60e9\u7f5a\u7ea6\u675f\u5f3a\u52a0\u4e86\u7269\u7406\u5b9a\u5f8b\uff0c\u800c\u89e3\u7684\u8d28\u91cf\u5728\u5f88\u5927\u7a0b\u5ea6\u4e0a\u53d6\u51b3\u4e8e\u8d85\u53c2\u6570\u7684\u8bd5\u9519\u5f0f\u9002\u5f53\u8bbe\u7f6e\u3002<\/span><\/section>\n

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\u6587\u7ae0\u63d0\u51fa\u4e00\u79cd\u6df1\u5ea6\u5b66\u4e60\u6846\u67b6\u2014\u2014\u7269\u7406\u7f16\u7801\u9012\u5f52\u5377\u79ef\u795e\u7ecf\u7f51\u7edc<\/span>\uff08physics-encoded recurrent convolutional neural network, PeRCNN\uff09<\/span>\uff0c\u80fd\u5728\u9012\u5f52\u5377\u79ef\u795e\u7ecf\u7f51\u7edc\u4e2d\u5bf9\u7ed9\u5b9a\u7684\u7269\u7406\u7ed3\u6784\u5f3a\u5236\u7f16\u7801\uff0c\u4ece\u800c\u4fc3\u8fdb\u7a00\u758f\u6570\u636e\u73af\u5883\u4e0b\u7684\u65f6\u7a7a\u52a8\u529b\u5b66\u5b66\u4e60\u3002\u8be5\u7f51\u7edc\u65e8\u5728\u4fdd\u7559\u7ed9\u5b9a\u7269\u7406\u7ed3\u6784\uff0c\u4f8b\u5982\u63a7\u5236PDE\u3001IC\u548c\u8fb9\u754c\u6761\u4ef6<\/span>\uff08BC\uff09<\/span>\u7684\u7ed3\u6784\u6216\u7279\u5b9a\u9879\uff0c\u5148\u9a8c\u7269\u7406\u77e5\u8bc6\u88ab\u5f3a\u5236\u201c\u7f16\u7801\u201d\uff0c\u4ece\u800c\u4f7f\u7f51\u7edc\u5177\u6709\u53ef\u89e3\u91ca\u6027\u3002<\/span><\/section>\n

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\u56fe1\uff1aPeRCNN\u7ed3\u6784\u793a\u610f\u56fe\uff1aa. \u5e26\u6709\u7528\u4e8e\u9012\u5f52\u8ba1\u7b97\u7684\u03a0\u5757\u7684\u7f51\u7edc\uff1bb. BC\u7684\u5d4c\u5165\uff1b\u4ee5\u53ca c. \u7f51\u7edc\u7684\u4e3b\u8981\u7279\u5f81<\/span><\/p>\n


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\u7531\u56fe2\u53ef\u89c1\uff0c\u5728\u56db\u79cd\u60c5\u51b5\u4e0bPeRCNN\u5f97\u5230\u7684\u89e3\u4e0e\u53c2\u8003\u89e3\u90fd\u975e\u5e38\u543b\u5408\uff0c\u76f8\u6bd4\u4e4b\u4e0b\uff0c\u5377\u79ef\u957f\u77ed\u671f\u8bb0\u5fc6<\/span>\uff08convolutional long-short term memory, ConvLSTM\uff09<\/span>\u548c\u7269\u7406\u542f\u53d1\u795e\u7ecf\u7f51\u7edc<\/span>\uff08physics-informed neural networks, PINN\uff09<\/span>\u5728\u4e8c\u7ef4\u3001\u4e09\u7ef4\u4e0a\u7684\u8868\u73b0\u5c31\u4e0d\u540c\u4e86\u3002\u7279\u522b\u662f\uff0c\u5b83\u4eec\u5bf9\u4e8c\u7ef4\u60c5\u51b5\u7684\u9884\u6d4b\u76f8\u5f53\u51c6\u786e\uff0c\u800c\u4f46\u5bf9\u4e09\u7ef4\u60c5\u51b5\u7684\u9884\u6d4b\u4e0e\u53c2\u8003\u503c\u6709\u76f8\u5f53\u5927\u7684\u504f\u5dee\u3002\u8bc1\u660ePeRCNN\u5728\u590d\u6742\u7cfb\u7edf\u5efa\u6a21\u548c\u4eff\u771f\u65b9\u9762\u7684\u5de8\u5927\u6f5c\u529b\u3002<\/span><\/section>\n

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\u56fe2\uff1aPeRCNN\u3001ConvLSTM\u548cPINN\u5728\u5404\u79cdRD\u7cfb\u7edf\u4e0a\u7684\u8bef\u5dee\u4f20\u64ad\u66f2\u7ebf\uff08\u5de6\uff09\u548c\u9884\u6d4b\u5feb\u7167\uff08\u53f3\uff09\u3002a\uff0c\u4e8c\u7ef4lambda\u2013omega (\u03bb\u2013\u03a9) RD\u65b9\u7a0b\uff1bb\uff0c\u4e8c\u7ef4FitzHugh\u2013Nagumo (FN) RD\u65b9\u7a0b\uff1bc\uff0c\u4e09\u7ef4FN RD\u65b9\u7a0b\uff1bd\uff0c\u4e09\u7ef4Gray\u2013Scott (GS) RD\u65b9\u7a0b<\/span><\/p>\n


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\u63a5\u4e0b\u6765\u5173\u6ce8\u5728\u6709\u9650\u7684\u3001\u6709\u566a\u58f0\u7684\u6d4b\u91cf\u6570\u636e\u6761\u4ef6\u4e0b\uff0c\u5229\u7528\u6240\u63d0\u51fa\u7684\u7269\u7406\u7f16\u7801\u5b66\u4e60\u8303\u5f0f\u5efa\u7acb\u65f6\u7a7a\u52a8\u529b\u5b66\u6570\u636e\u9a71\u52a8\u6a21\u578b\u3002\u7531\u56fe3\u53ef\u89c1\uff0c\u5728\u8bef\u5dee\u4f20\u64ad\u7684\u5404\u4e2a\u9636\u6bb5\uff0cPeRCNN\u7684\u8868\u73b0\u90fd\u4f18\u4e8e\u5176\u4ed6\u65b9\u6cd5\uff0c\u8fdb\u4e00\u6b65\u8bc1\u5b9e\u4e86PeRCNN\u7684\u5916\u63a8\u80fd\u529b\u3002<\/span><\/section>\n

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\u56fe3\uff1a\u6bcf\u4e2a\u6570\u636e\u9a71\u52a8\u6a21\u578b\u7684\u9884\u6d4b\uff08\u5de6\uff09\u548c\u5916\u63a8\u5feb\u7167\uff08\u53f3\uff09\u4e0e\u53c2\u8003\u89e3\u76f8\u6bd4\u7684\u8bef\u5dee\u4f20\u64ad\u66f2\u7ebf\u3002a\uff0c\u4e8c\u7ef4GS RD\u65b9\u7a0b\uff1bb\uff0c\u4e09\u7ef4GS RD\u65b9\u7a0b<\/span><\/p>\n


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\u6700\u540e\uff0c\u5c06\u4ece\u6570\u636e\u4e2d\u5b66\u5230\u7684\u6a21\u5f0f\u8f6c\u5316\u4e3a\u77e5\u8bc6\uff0c\u4ece\u800c\u5f15\u5bfc\u79d1\u5b66\u5bb6\u7406\u89e3\u7269\u7406\u53d8\u91cf\u4e4b\u95f4\u7684\u56e0\u679c\u5173\u7cfb\uff0c\u5e76\u8fdb\u4e00\u6b65\u5bf9\u7c7b\u4f3c\u95ee\u9898\u8fdb\u884c\u63a8\u7406\uff0c\u57fa\u4e8e\u6b64\uff0c\u4f5c\u8005\u5c1d\u8bd5\u5c06\u7a00\u758f\u56de\u5f52\u6280\u672f\u4e0ePeRCNN\u6a21\u578b\u76f8\u7ed3\u5408\uff0c\u5982\u56fe4\u6240\u5c55\u793a\u3002<\/span><\/section>\n

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\u56fe4 \u63a7\u5236PDE\u7684\u6d41\u7545\u56fe\u3002a\uff0c\u6570\u636e\u91cd\u6784\uff1bb\uff0c\u7a00\u758f\u56de\u5f52\uff1bc\uff0c\u7cfb\u6570\u5fae\u8c03<\/span><\/section>\n

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\u4f5c\u8005\u901a\u8fc7\u5927\u91cf\u6570\u503c\u5b9e\u9a8c\u5c55\u793a\u4e86\u6240\u63d0\u51fa\u7684\u65b9\u6cd5\u5982\u4f55\u5e94\u7528\u4e8e\u6709\u5173\u53cd\u5e94\u6269\u6563\u8fc7\u7a0b\u548c\u5176\u4ed6PDE\u7cfb\u7edf\u7684\u5404\u79cd\u95ee\u9898\uff0c\u5305\u62ecPDE\u7684\u6b63\u6f14\u548c\u53cd\u6f14\u5206\u6790\u3001\u6570\u636e\u9a71\u52a8\u5efa\u6a21\u548c\u53d1\u73b0\u3002\u8bc1\u660ePeRCNN\u5177\u6709\u9ad8\u51c6\u786e\u6027\u3001\u9c81\u68d2\u6027\u3001\u53ef\u89e3\u91ca\u6027\u548c\u53ef\u6cdb\u5316\u6027\u3002<\/span><\/section>\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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\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\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>Nat. Commun. \u901f\u9012\uff1a\u4e00\u79cd\u7528\u4e8e\u7075\u6d3b\u4fe1\u606f\u7f16\u7801\u7684\u5feb\u901f \u03b8 \u7f51\u7edc\u673a\u5236<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> \u51e0\u4f55\u6df1\u5ea6\u5b66\u4e60\uff1a\u8ba9\u7269\u7406\u4e16\u754c\u62e5\u6709AI | \u9ec4\u6587\u70b3\u5206\u4eab\u6574\u7406<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong><\/strong>\u751f\u7269\u7269\u7406\u524d\u6cbf\uff1a\u91cf\u5316\u7ec6\u80de\u5185\u751f\u5316\u4fe1\u53f7\u5206\u5b50\u52a8\u529b\u5b66\u7f16\u7801\u7684\u4fe1\u606f\u79ef\u7d2f<\/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\u590d\u6742\u65f6\u7a7a\u52a8\u529b\u5b66\uff0c\u504f\u5fae\u5206\u65b9\u7a0b\uff0c\u7269\u7406\u542f\u53d1\u673a\u5668\u5b66\u4e60\uff0c\u6df1\u5ea6\u5b66\u4e60\uff0c\u53cd\u5e94-\u6269\u6563\u8fc7\u7a0b \u8bba\u6587\u6807\u9898\uff1aEncoding physics to learn reaction-diffusion processes \u8bba\u6587\u6765\u6e90\uff1aNature Machine Intelligence \u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/patt…<\/p>\n","protected":false},"author":0,"featured_media":44005,"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\/44012"}],"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=44012"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/44012\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/44005"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=44012"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=44012"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=44012"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=44012"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}