{"id":44537,"date":"2023-08-17T16:43:39","date_gmt":"2023-08-17T08:43:39","guid":{"rendered":"https:\/\/swarma.org\/?p=44537"},"modified":"2023-08-17T16:43:39","modified_gmt":"2023-08-17T08:43:39","slug":"nat-commun-%e9%80%9f%e9%80%92%ef%bc%9a%e5%88%a9%e7%94%a8%e6%9c%80%e4%bc%98%e8%be%93%e8%bf%90%e5%92%8c%e6%b5%81%e5%bd%a2%e5%ad%a6%e4%b9%a0%e5%8f%91%e7%8e%b0%e5%ae%88%e6%81%92%e5%be%8b","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=44537","title":{"rendered":"Nat. Commun.\u901f\u9012\uff1a\u5229\u7528\u6700\u4f18\u8f93\u8fd0\u548c\u6d41\u5f62\u5b66\u4e60\u53d1\u73b0\u5b88\u6052\u5f8b"},"content":{"rendered":"
\n
\n
\n
\n

<\/p>\n


<\/strong><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/span><\/strong><\/strong><\/strong><\/span><\/p>\n

\u5173\u952e\u8bcd\uff1a\u5b88\u6052\u91cf\uff0c\u6d41\u5f62\u5b66\u4e60\uff0c\u975e\u7ebf\u6027\u52a8\u529b\u5b66\uff0c\u6269\u6563\u6620\u5c04<\/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


<\/p>\n<\/section>\n

\n
\n
\n
<\/svg><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n
\n
<\/section>\n<\/section>\n
\n


<\/p>\n

<\/p>\n<\/section>\n

\n
\n
\n
\n
\u8bba\u6587\u6807\u9898\uff1aDiscovering conservation laws using optimal transport and manifold learning<\/span><\/section>\n

\u8bba\u6587\u6765\u6e90\uff1aNature Communications<\/em><\/span><\/p>\n

\u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/pattern.swarma.org\/paper\/0f63d2b4-3577-11ee-b6ce-0242ac17000d<\/span><\/p>\n

\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s41467-023-40325-7<\/span><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n


<\/p>\n

\u5b88\u6052\u5f8b\u662f\u7406\u89e3\u3001\u63cf\u8ff0\u548c\u6a21\u62df\u975e\u7ebf\u6027\u52a8\u529b\u7cfb\u7edf\u7684\u91cd\u8981\u7406\u8bba\u548c\u5b9e\u8df5\u5de5\u5177\u3002\u7136\u800c\uff0c\u5bf9\u4e8e\u8bb8\u591a\u590d\u6742\u7cfb\u7edf\u6765\u8bf4\uff0c\u76f8\u5e94\u7684\u5b88\u6052\u91cf\u96be\u4ee5\u786e\u5b9a\uff0c\u56e0\u6b64\u5f88\u96be\u5bf9\u5176\u8fdb\u884c\u52a8\u6001\u5206\u6790\u5e76\u5efa\u7acb\u7a33\u5b9a\u7684\u9884\u6d4b\u6a21\u578b\u3002<\/span><\/p>\n


<\/span><\/p>\n

\u76ee\u524d\u53d1\u73b0\u5b88\u6052\u5f8b\u7684\u65b9\u6cd5\u901a\u5e38\u4f9d\u8d56\u4e8e\u8be6\u7ec6\u7684\u52a8\u529b\u5b66\u4fe1\u606f\uff0c\u6216\u8005\u4f9d\u8d56\u4e8e\u9ed1\u76d2\u53c2\u6570\u6df1\u5ea6\u5b66\u4e60\u65b9\u6cd5\u3002\u672c\u6587\u5c06\u8fd9\u4e00\u4efb\u52a1\u91cd\u65b0\u8868\u8ff0\u4e3a\u6d41\u5f62\u5b66\u4e60\u95ee\u9898\uff0c\u5e76\u63d0\u51fa\u4e00\u79cd\u53d1\u73b0\u5b88\u6052\u91cf\u7684\u975e\u53c2\u6570\u65b9\u6cd5\u3002<\/span><\/p>\n


<\/span><\/p>\n

<\/p>\n

\u56fe1 \u4ee5\u7b80\u6446\u4f8b\u5b50\u8bf4\u660e\u5b88\u6052\u5f8b\u7684\u62df\u8bae\u975e\u53c2\u6570\u65b9\u6cd5\u3002a.\u6536\u96c6\u52a8\u529b\u7cfb\u7edf\u7684\u8f68\u8ff9\u6570\u636e\u5e76\u8fdb\u884c\u5f52\u4e00\u5316\u5904\u7406\uff1bb.\u4f7f\u7528\u6700\u4f18\u8f93\u8fd0\u4e2d\u7684\u74e6\u745f\u65af\u5766\u5ea6\u91cf\u8ba1\u7b97\u6bcf\u5bf9\u8f68\u8ff9\u4e4b\u95f4\u7684\u8ddd\u79bb\uff0c\u5e76\u6784\u5efa\u8ddd\u79bb\u77e9\u9635\uff1bc.\u5229\u7528\u6269\u6563\u56fe\u4ece\u8ddd\u79bb\u77e9\u9635\u4e2d\u63d0\u53d6\u5f62\u72b6\u7a7a\u95f4\u6d41\u5f62 C \u7684\u5d4c\u5165\uff0c\u5d4c\u5165\u56fe\u7531\u6446\u7684\u5b88\u6052\u80fd\u91cfE\u7740\u8272\uff1bd.\u4f7f\u7528\u542f\u53d1\u5f0f\u8bc4\u5206\u6765\u9009\u62e9\u76f8\u5173\u6210\u5206\u3002<\/span><\/section>\n


<\/span><\/p>\n

\u672c\u6587\u8fd8\u5728\u5728\u5404\u79cd\u7269\u7406\u7cfb\u7edf\u4e0a\u6d4b\u8bd5\u4e86\u8fd9\u79cd\u65b0\u65b9\u6cd5<\/span>\uff08\u5355\u6446\u548c\u53cc\u6446\u3001\u5e73\u9762\u5f15\u529b\u52a8\u529b\u5b66\u3001\u6d45\u6c34\u6ce2\u7684 KdV \u65b9\u7a0b\uff0c\u4ee5\u53ca\u4ea7\u751f\u632f\u8361\u56fe\u7075\u6a21\u5f0f\u7684\u975e\u7ebf\u6027\u53cd\u5e94-\u6269\u6563\u65b9\u7a0b\uff09<\/span>\uff0c\u8bc1\u660e\u8be5\u65b9\u6cd5\u65e2\u80fd\u8bc6\u522b\u5b88\u6052\u91cf\u7684\u6570\u91cf\uff0c\u53c8\u80fd\u63d0\u53d6\u5b83\u4eec\u7684\u503c\u3002<\/span><\/p>\n


<\/span><\/p>\n

<\/p>\n

\u56fe2 \u8bc6\u522b\u5355\u6446\u7684\u5b88\u6052\u80fd\u91cf\u3002a. \u5355\u6446\u6709\u4e24\u4e2a\u81ea\u7531\u5ea6\uff1a\u89d2\u5ea6\u03b8\u548c\u89d2\u901f\u5ea6\u03c9\uff1bb.\u6839\u636e\u6837\u672c\u8f68\u8ff9\u5728\u4e8c\u7ef4\u76f8\u7a7a\u95f4 (\u03b8, \u03c9) \u4e2d\u7ed8\u5236\u7684\u6837\u672c\u70b9\uff1bc. \u542f\u53d1\u5f0f\u8bc4\u5206\u6b63\u786e\u8bc6\u522b\u51fa\u6269\u6563\u56fe\u63d0\u53d6\u7684\u7b2c\u4e00\u4e2a\u5d4c\u5165\u5206\u91cf\u662f\u552f\u4e00\u76f8\u5173\u7684\u5206\u91cf\uff0c\u5e76\u4e14d.\u63d0\u53d6\u7684\u7b2c\u4e00\u4e2a\u5206\u91cf\u4e0e\u80fd\u91cf\u5355\u8c03\u76f8\u5173\uff1be, f. \u52a0\u5165\u03c3= 0.5\u7684\u9ad8\u65af\u566a\u58f0\uff0cg. \u542f\u53d1\u5f0f\u8bc4\u5206\u4ecd\u5c06\u7b2c\u4e00\u4e2a\u5206\u91cf\u8bc6\u522b\u4e3a\u76f8\u5173\u5206\u91cf\uff0c\u5e76\u4e14 h.\u8be5\u5206\u91cf\u4e0e\u80fd\u91cf\u975e\u5e38\u543b\u5408<\/span><\/section>\n


<\/span><\/p>\n

\u7ecf\u9a8c\u8bc1\uff0c\u8fd9\u79cd\u65b9\u6cd5\u65e2\u7a33\u5065\u53c8\u53ef\u89e3\u91ca\uff0c\u4e0d\u9700\u8981\u660e\u786e\u7684\u7cfb\u7edf\u6a21\u578b\uff0c\u4e5f\u4e0d\u9700\u8981\u7cbe\u786e\u7684\u65f6\u95f4\u4fe1\u606f\uff0c\u540c\u65f6\u4e5f\u8bc1\u660e\u5bf9\u6d4b\u91cf\u8f68\u8ff9\u4e2d\u7684\u566a\u58f0\u3001\u4ee5\u90e8\u5206\u89c2\u6d4b\u5230\u7684\u76f8\u7a7a\u95f4\u4e3a\u5f62\u5f0f\u7684\u7f3a\u5931\u4fe1\u606f\u4ee5\u53ca\u8fd1\u4f3c\u5b88\u6052\u5f8b\u7684\u9c81\u68d2\u6027\uff0c\u4f18\u4e8e\u4e4b\u524d\u57fa\u4e8e\u6df1\u5ea6\u5b66\u4e60\u7684\u76f4\u63a5\u62df\u5408\u65b9\u6cd5\uff0c\u540c\u65f6\u901f\u5ea6\u5feb\u4e86\u4e00\u4e2a\u6570\u91cf\u7ea7\u3002<\/span><\/p>\n


<\/section>\n
\n

<\/span><\/section>\n
\u7f16\u8bd1\uff5c\u8463\u4f73\u6b23<\/span><\/span><\/section>\n

<\/section>\n
\n
\n
\n
\n

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

<\/span>
<\/section>\n
<\/span><\/section>\n
<\/span><\/span><\/a><\/section>\n
<\/span><\/section>\n
\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/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><\/span><\/section>\n

<\/section>\n

<\/section>\n
\n
\n
\n
\n

\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\uff1a<\/strong><\/p>\n

AI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n


<\/section>\n

<\/span><\/a><\/p>\n


<\/p>\n

\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/p>\n

\u5927\u6a21\u578b\u4e0e\u751f\u7269\u533b\u5b66\uff1aAI + Science\u7b2c\u4e8c\u5b63\u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span>
<\/span><\/p>\n


<\/section>\n


<\/p>\n

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

\u200d<\/span>1. <\/strong>Nat. Comput. Sci. \u901f\u9012\uff1a\u4eba\u8111\u72b6\u6001\u8f68\u8ff9\u7684\u591a\u89c6\u70b9\u6d41\u5f62\u5b66\u4e60<\/a><\/strong><\/span><\/strong><\/strong><\/section>\n
2.<\/strong> Nature \u901f\u9012\uff1a\u57fa\u4e8e\u975e\u7ebf\u6027\u795e\u7ecf\u7f51\u7edc\u6a21\u578b\u5373\u65f6\u9884\u62a5\u6781\u7aef\u964d\u6c34<\/a><\/strong><\/span><\/strong><\/section>\n
3. <\/strong><\/strong>PNAS\u901f\u9012\uff1a\u793e\u4f1a\u590d\u5236\u5bfc\u81f4\u975e\u7ebf\u6027\u79cd\u7fa4\u6570\u91cf\u5d29\u6e83\u4e34\u754c\u70b9<\/a><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n
<\/strong><\/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. <\/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
6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/section>\n

<\/section>\n

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

<\/mp-style-type><\/p>\n<\/div>\n","protected":false},"excerpt":{"rendered":"

\u5173\u952e\u8bcd\uff1a\u5b88\u6052\u91cf\uff0c\u6d41\u5f62\u5b66\u4e60\uff0c\u975e\u7ebf\u6027\u52a8\u529b\u5b66\uff0c\u6269\u6563\u6620\u5c04 \u8bba\u6587\u6807\u9898\uff1aDiscovering conservation laws using optimal transport and manifold learning \u8bba\u6587\u6765\u6e90\uff1aNature Communications \u6591\u56fe\u94fe\u63a5\uff1ahttps:\/\/patt…<\/p>\n","protected":false},"author":0,"featured_media":44532,"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\/44537"}],"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=44537"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/44537\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/44532"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=44537"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=44537"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=44537"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=44537"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}