{"id":43206,"date":"2023-06-16T19:11:48","date_gmt":"2023-06-16T11:11:48","guid":{"rendered":"https:\/\/swarma.org\/?p=43206"},"modified":"2023-06-16T19:11:48","modified_gmt":"2023-06-16T11:11:48","slug":"ai-for-%e7%a7%91%e5%ad%a6%e6%a8%a1%e6%8b%9f%ef%bc%9a%e5%88%86%e5%ad%90%e5%8a%a8%e5%8a%9b%e5%ad%a6%e4%b8%8e%e5%88%86%e5%ad%90%e6%a8%a1%e6%8b%9f%e4%b8%a8%e5%91%a8%e6%97%a5%e7%9b%b4%e6%92%ad%c2%b7-aisci","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=43206","title":{"rendered":"AI for \u79d1\u5b66\u6a21\u62df\uff1a\u5206\u5b50\u52a8\u529b\u5b66\u4e0e\u5206\u5b50\u6a21\u62df\u4e28\u5468\u65e5\u76f4\u64ad\u00b7 AI+Science \u8bfb\u4e66\u4f1a"},"content":{"rendered":"
\n
\n
\n
\n

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

\n
\n
\n
\n
\n
\n

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

\u5bfc\u8bed<\/strong><\/p>\n<\/section>\n<\/section>\n

\n

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

\u5b66\u4e60\u5206\u5b50\u52a8\u529b\u5b66(MD)\u6a21\u62df\uff0c\u5bf9\u4e8e\u66ff\u4ee3\u79d1\u5b66\u8ba1\u7b97\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u7684\u6602\u8d35\u91cf\u5b50\u529b\u5b66\u8ba1\u7b97\u975e\u5e38\u6709\u7528\u3002\u5c3d\u7ba1\u6700\u8fd1\u53d6\u5f97\u4e86\u8bb8\u591a\u8fdb\u5c55\uff0c\u4f46\u73b0\u6709\u7684\u673a\u5668\u5b66\u4e60\u52bf\u573a\u662f\u5426\u8db3\u591f\u7528\u4e8e\u79d1\u5b66\u76ee\u7684\u5462\uff1f\u6211\u4eec\u662f\u5426\u4ee5\u6b63\u786e\u7684\u65b9\u5f0f\u6bd4\u8f83\u4e0d\u540c\u7684\u6a21\u578b\uff1f<\/span><\/strong><\/p>\n


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

\u8ba1\u7b97\u5df2\u6210\u4e3a\u524d\u6cbf\u79d1\u7814\u5de5\u4f5c\u8005\u7fa4\u4f53\u6700\u4e3b\u8981\u7684\u79d1\u7814\u624b\u6bb5\u4e4b\u4e00\uff0cAI for Science\u4e0e\u4e91\u539f\u751f\u65f6\u4ee3\u7684\u5230\u6765\uff0c\u6b63\u5728\u6210\u4e3a\u8ba1\u7b97\u8f85\u52a9\u79d1\u7814\u5168\u9762\u5347\u7ea7\u7684\u6838\u5fc3\u63a8\u52a8\u529b\uff0c\u63a8\u52a8\u201c\u521b\u65b0-\u843d\u5730\u201d\u94fe\u6761\u7684\u5feb\u901f\u8fed\u4ee3\u3002<\/span><\/strong><\/p>\n


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

\u672c\u6b21\u5206\u4eab\u6211\u4eec\u6709\u5e78\u8bf7\u5230\u4ed8\u8944\u548c\u5f20\u4e0e\u4e4b\u4e24\u4f4d\u8bb2\u8005\uff0c\u4e3a\u6211\u4eec\u4ece\u5206\u5b50\u52a8\u529b\u5b66\u9886\u57df\uff0c\u63a2\u8ba8\u4ee5\u4e0a\u5185\u5bb9\u3002<\/span><\/strong><\/p>\n


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

AI+Science<\/span><\/strong><\/a>\u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 9:00-11:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/strong><\/p>\n<\/section>\n

\n
<\/mp-common-videosnap><\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\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

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

<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

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

\u5206\u4eab\u7b80\u4ecb<\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n

<\/section>\n
\u7b2c\u4e00\u90e8\u5206\uff0c\u4ed8\u8944\u5c06\u4ecb\u7ecd\u5206\u5b50\u52a8\u529b\u5b66\u6a21\u62df\u7684\u76f8\u5173\u5185\u5bb9\u3002\u5206\u5b50\u52a8\u529b\u5b66(MD)\u6a21\u62df\u662f\u81ea\u7136\u79d1\u5b66\u7814\u7a76\u4e2d\u81f3\u5173\u91cd\u8981\u7684\u5de5\u5177\uff0c\u4f46\u4f20\u7edf\u7684\u65b9\u6cd5\u53ef\u80fd\u9700\u8981\u5927\u91cf\u8ba1\u7b97\u3002\u673a\u5668\u5b66\u4e60(ML)\u529b\u573a(FFs)\u5df2\u6210\u4e3a\u4e00\u79cd\u6709\u524d\u9014\u7684\u9009\u62e9\uff0c\u5229\u7528\u539f\u5b50\u7ed3\u6784\u9884\u6d4b\u529b\u5e76\u52a0\u901f\u6a21\u62df\u3002\u7136\u800c\uff0c\u91cd\u70b9\u653e\u5728\u529b\u548c\u80fd\u91cf\u9884\u6d4b\u8bef\u5dee\u4e0a\uff0c\u5728\u57fa\u51c6\u6d4b\u8bd5\u8fd9\u4e9b\u6280\u672f\u65f6\u53ef\u80fd\u4e0d\u80fd\u5145\u5206\u6355\u6349\u5230\u5b83\u4eec\u4ea7\u751f\u73b0\u5b9eMD\u8f68\u8ff9\u7684\u6f5c\u529b\u3002\u5728\u672c\u671f\u8bfb\u4e66\u4f1a\u4e2d\uff0c\u6211\u4eec\u5f15\u5165\u4e86\u4e00\u4e2a\u65b0\u9896\u7684ML MD\u6a21\u62df\u57fa\u51c6\u5957\u4ef6\uff0c\u7cbe\u5fc3\u7b56\u5212\u4ee5\u53cd\u6620\u5404\u79cd\u79d1\u5b66\u5e94\u7528\u3002\u6211\u4eec\u8bc4\u4f30\u6700\u5148\u8fdb\u7684\u6a21\u578b\uff0c\u5e76\u5c55\u793a\u529b\u91cf\u51c6\u786e\u6027\u672c\u8eab\u53ef\u80fd\u4e0d\u8db3\u4ee5\u8bc4\u4f30\u6a21\u62df\u6027\u80fd\u3002\u6b64\u5916\uff0c\u6211\u4eec\u63a2\u7d22\u4e86ML\u5982\u4f55\u589e\u5f3aMD\u6a21\u62df\u7684\u5176\u4ed6\u65b9\u6cd5\uff0c\u4f8b\u5982\u589e\u5f3a\u91c7\u6837\u65b9\u6cd5\u3001\u7c97\u7c92\u5316\u6a21\u578b\u548c\u65f6\u95f4\u79ef\u5206\u6a21\u62df\u5668\u3002\u6211\u4eec\u7684\u57fa\u51c6\u5957\u4ef6\u5c06\u6210\u4e3a\u672a\u6765\u7814\u7a76\u7684\u6307\u5357\u3002<\/span><\/section>\n
\u7b2c\u4e8c\u90e8\u5206\uff0c\u5f20\u4e0e\u4e4b\u9996\u5148\u5c06\u4f1a\u4ee5\u5206\u5b50\u6a21\u62df\u5728\u6750\u6599\u8bbe\u8ba1\u548c\u836f\u7269\u7814\u53d1\u9886\u57df\u4e3a\u4f8b\uff0c\u4ecb\u7ecd\u5178\u578b\u7684AI for Science\u7b97\u6cd5\u7814\u53d1\u4ece\u5b9e\u9a8c\u5ba4\u73af\u5883\u8d70\u5411\u5de5\u4e1a\u751f\u4ea7\u73af\u5883\u4e2d\u7684\u8fdb\u5c55\u3001\u9047\u5230\u7684\u74f6\u9888\u4ee5\u53ca\u53ef\u80fd\u7684\u89e3\u51b3\u65b9\u6848\uff0c\u5176\u4e2d\u7684\u5173\u952e\u8bcd\u662f\u5404\u8981\u7d20\u7684\u6301\u7eed\u89c4\u6a21\u5316\u3002\u5176\u6b21\uff0c\u5c06\u4ee5Bohrium\u6848\u4f8b\u5e7f\u573a\uff08https:\/\/nb.bohrium.dp.tech\/\uff09\u4e3a\u4f8b\u5206\u4eab\u5982\u4f55\u5728\u6280\u672f\u9769\u65b0\u7684\u6d6a\u6f6e\u4e2d\u6301\u7eed\u5feb\u901f\u6210\u957f\u3002<\/span><\/section>\n


<\/p>\n


<\/p>\n

\n
\n
\n
\n
\n

<\/section>\n

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

\u5206\u4eab\u5927\u7eb2<\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n

<\/section>\n
\u4ed8\u8944\uff1a<\/span><\/strong><\/span><\/section>\n
1.\u5206\u5b50\u52a8\u529b\u5b66\u5165\u95e8\uff1a\u76ee\u6807\u3001\u4efb\u52a1\u3001\u65b9\u6cd5<\/span><\/strong><\/section>\n
2.\u8bc4\u4f30\u673a\u5668\u5b66\u4e60\u529b\u573a\uff08Machine Learning Force Fields, ML FFs\uff09<\/span><\/strong><\/section>\n
3.\u7528\u5206\u5b50\u52a8\u529b\u5b66\u6a21\u62df\u8fdb\u884c\u57fa\u51c6\u6d4b\u8bd5\u673a\u5668\u5b66\u4e60\u529b\u573a\uff08ML FFs\uff09<\/span><\/strong><\/section>\n
4.\u8d85\u8d8a\u673a\u5668\u5b66\u4e60\u529b\u573a\uff08ML FFs\uff09<\/span><\/strong><\/span><\/section>\n

a.\u589e\u5f3a\u91c7\u6837<\/span><\/p>\n

b.\u7c97\u7c92\u5316<\/span><\/p>\n

c.\u65f6\u95f4\u79ef\u5206\u6a21\u62df\u5668<\/span><\/p>\n


<\/section>\n
\u5f20\u4e0e\u4e4b\uff1a<\/span><\/strong><\/span><\/section>\n
1.AI for Science\u5728\u5206\u5b50\u6a21\u62df\u4e2d\u7684\u5e94\u7528<\/span><\/strong><\/span><\/section>\n

1.1 \u5206\u5b50\u6a21\u62df\u5728\u6750\u6599\u8bbe\u8ba1\u548c\u836f\u7269\u7814\u53d1\u9886\u57df\u7684\u5e94\u7528\u5b9e\u4f8b <\/span><\/p>\n

1.2 AI for Science\u7b97\u6cd5\u5728\u5b9e\u9a8c\u5ba4\u73af\u5883\u5230\u5de5\u4e1a\u751f\u4ea7\u73af\u5883\u7684\u63a8\u5e7f\u4e2d\u7684\u96be\u70b9\u548c\u6311\u6218 <\/span><\/span><\/p>\n

2.\u6280\u672f\u9769\u65b0\u7684\u6d6a\u6f6e\u4e2d\u5982\u4f55\u6301\u7eed\u5feb\u901f\u6210\u957f <\/span><\/strong><\/span><\/section>\n

<\/section>\n

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


<\/p>\n

\n
\n
\n
\n
\n

<\/section>\n

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

\u6838\u5fc3\u6982\u5ff5<\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n

<\/section>\n
1. \u5206\u5b50\u52a8\u529b\u5b66\uff08Molecular Dynamics, MD\uff09<\/span><\/strong>\uff1a\u5206\u5b50\u52a8\u529b\u5b66\u662f\u4e00\u79cd\u6a21\u62df\u65b9\u6cd5\uff0c\u7528\u4e8e\u901a\u8fc7\u6570\u503c\u89e3\u51b3\u725b\u987f\u8fd0\u52a8\u65b9\u7a0b\u6765\u7814\u7a76\u5206\u5b50\u7cfb\u7edf\u7684\u52a8\u6001\u884c\u4e3a\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u7528\u6765\u7814\u7a76\u5404\u79cd\u7269\u7406\u5316\u5b66\u8fc7\u7a0b\uff0c\u5982\u86cb\u767d\u8d28\u6298\u53e0\u3001\u5316\u5b66\u53cd\u5e94\u548c\u6750\u6599\u7684\u529b\u5b66\u6027\u80fd\u3002\u63a8\u8350\u9605\u8bfb\uff1a\u4ec0\u4e48\u662f\u7edf\u8ba1\u529b\u5b66 | \u96c6\u667a\u767e\u79d1<\/a>\uff0c\u4ecb\u7ecd\u4e86\u7edf\u8ba1\u529b\u5b66\u7684\u76f8\u5173\u6982\u5ff5\uff0c\u5305\u62ec\u5206\u5b50\u52a8\u529b\u5b66\u7b49\u3002<\/span><\/section>\n
2. \u673a\u5668\u5b66\u4e60\u529b\u573a\uff08Machine Learning Force Fields, ML FFs\uff09<\/span><\/strong>\uff1a\u673a\u5668\u5b66\u4e60\u529b\u573a\u662f\u4e00\u79cd\u65b0\u5174\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u4f7f\u7528\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\u6765\u9884\u6d4b\u539f\u5b50\u95f4\u7684\u76f8\u4e92\u4f5c\u7528\u529b\uff0c\u4ece\u800c\u52a0\u901f\u5206\u5b50\u52a8\u529b\u5b66\u6a21\u62df\u3002\u63a8\u8350\u9605\u8bfb\uff1a[Machine Learning Force Fields](https:\/\/pubs.acs.org\/doi\/10.1021\/acs.chemrev.0c01111)<\/span><\/section>\n
3. \u589e\u5f3a\u91c7\u6837\uff08Enhanced Sampling\uff09<\/span><\/strong>\uff1a\u589e\u5f3a\u91c7\u6837\u662f\u4e00\u79cd\u7528\u4e8e\u6539\u8fdb\u5206\u5b50\u52a8\u529b\u5b66\u6a21\u62df\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u5728\u6a21\u62df\u8fc7\u7a0b\u4e2d\u5f15\u5165\u504f\u7f6e\u6f5c\u529b\u6216\u4fee\u6539\u7cfb\u7edf\u7684\u52a8\u529b\u5b66\u6765\u589e\u52a0\u7cfb\u7edf\u8bbf\u95ee\u7a00\u6709\u4e8b\u4ef6\u7684\u6982\u7387\u3002\u63a8\u8350\u9605\u8bfb\uff1a[Machine learning for collective variable discovery and enhanced sampling in biomolecular simulation](https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/00268976.2020.1737742)<\/span><\/section>\n
4. \u7c97\u7c92\u5316\u6a21\u578b\uff08Coarse-Graining Models\uff09<\/span><\/strong>\uff1a\u7c97\u7c92\u5316\u6a21\u578b\u662f\u4e00\u79cd\u7b80\u5316\u7684\u6a21\u578b\uff0c\u901a\u8fc7\u5c06\u539f\u5b50\u6216\u5206\u5b50\u805a\u5408\u6210\u66f4\u5927\u7684\u201c\u7c92\u5b50\u201d\u6765\u7b80\u5316\u7cfb\u7edf\u7684\u63cf\u8ff0\uff0c\u4ece\u800c\u4f7f\u5f97\u6a21\u62df\u53ef\u4ee5\u5728\u66f4\u5927\u7684\u65f6\u95f4\u548c\u7a7a\u95f4\u5c3a\u5ea6\u4e0a\u8fdb\u884c\u3002\u63a8\u8350\u9605\u8bfb\uff1a[Coarse-Grained Modeling of the SARS-CoV-2 Spike Glycoprotein by Physics-Informed Machine Learning](https:\/\/dx.doi.org\/10.3390\/computation11020024)<\/span><\/section>\n
\u516c\u4f17\u53f7\u6587\u7ae0\uff1aPhysics Reports\u901f\u9012\uff1a\u975e\u5e73\u8861\u6001\u7c97\u7c92\u5316\u5efa\u6a21<\/a><\/span><\/section>\n
\u4ece\u6280\u672f\u4e0a\u8bb2\uff0c\u5b66\u4e60\u673a\u5668\u5b66\u4e60\u529b\u573a\uff08ML FF\uff09\u548c\u5b66\u4e60\u7c97\u7c92\u5316\u529b\u573a\uff08CG FF\uff09\u5b9e\u9645\u4e0a\u662f\u975e\u5e38\u4e0d\u540c\u7684\uff0c\u8fd9\u7bc7\u8bba\u6587\u5bf9\u4e8e\uff08\u57fa\u4e8e\u5b66\u4e60\u7684\uff09\u7c97\u7c92\u5ea6\u6a21\u578b\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u63a8\u8350\u3002\u5f53\u7136\uff0c\u4e5f\u6709\u5927\u91cf\u7684\u5de5\u4f5c\u5728\u6ca1\u6709\u673a\u5668\u5b66\u4e60\u7684\u60c5\u51b5\u4e0b\u8fdb\u884c\u7c97\u7c92\u5ea6\u5efa\u6a21\u3002<\/span><\/section>\n
[Machine Learning of Coarse-Grained Molecular Dynamics Force Fields](https:\/\/dx.doi.org\/10.1021\/acscentsci.8b00913)<\/span><\/section>\n
5. \u65f6\u95f4\u96c6\u6210\u6a21\u62df\u5668\uff08Time-Integrated Simulators\uff09<\/span><\/strong>\uff1a\u65f6\u95f4\u96c6\u6210\u6a21\u62df\u5668\u662f\u4e00\u79cd\u6a21\u62df\u5de5\u5177\uff0c\u53ef\u4ee5\u5728\u957f\u65f6\u95f4\u5c3a\u5ea6\u4e0a\u6a21\u62df\u7cfb\u7edf\u7684\u52a8\u6001\u884c\u4e3a\uff0c\u901a\u5e38\u7528\u4e8e\u7814\u7a76\u7cfb\u7edf\u7684\u957f\u671f\u6f14\u5316\u548c\u7a33\u6001\u6027\u8d28\u3002\u63a8\u8350\u9605\u8bfb\uff1a\u8fd9\u662f\u8bb2\u8005\u4ed8\u8944\u7684\u9884\u5370\u672c<\/span><\/section>\n
[Simulate Time-integrated Coarse-grained Molecular Dynamics with Geometric Machine Learning](https:\/\/arxiv.org\/abs\/2204.10348)<\/span><\/section>\n
\u8fd9\u662f\u4e00\u4e9b\u5176\u4ed6\u7684\u76f8\u5173\u5de5\u4f5c[Molecular Latent Space Simulators](https:\/\/pubs.rsc.org\/en\/content\/articlelanding\/2020\/sc\/d0sc03635h)<\/span><\/section>\n
6. \u5206\u5b50\u6a21\u62df\uff08Molecular Simulation\uff09<\/span><\/strong>\uff1a\u5206\u5b50\u6a21\u62df\u662f\u4e00\u79cd\u8ba1\u7b97\u6280\u672f\uff0c\u7528\u4e8e\u6a21\u62df\u5206\u5b50\u6216\u539f\u5b50\u7684\u8fd0\u52a8\uff0c\u4ee5\u4fbf\u7814\u7a76\u7269\u8d28\u7684\u7269\u7406\u5316\u5b66\u6027\u8d28\u3002\u8fd9\u79cd\u6280\u672f\u5728\u6750\u6599\u8bbe\u8ba1\u548c\u836f\u7269\u7814\u53d1\u7b49\u9886\u57df\u6709\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\u63a8\u8350\u9605\u8bfb\uff1a\u5173\u4e8e\u5206\u5b50\u6a21\u62df\u7684\u8bba\u6587\u89e3\u8bfb\uff0c\u300a\u7528\u8ba1\u7b97\u673a\u771f\u6b63\u6a21\u62df\u751f\u547d\u8fd8\u8981\u591a\u4e45<\/a>\u300b\u3002<\/span><\/section>\n
7. \u6750\u6599\u8bbe\u8ba1\uff08Material Design\uff09<\/span><\/strong>\uff1a\u6750\u6599\u8bbe\u8ba1\u662f\u4e00\u79cd\u7814\u7a76\u9886\u57df\uff0c\u4e3b\u8981\u5173\u6ce8\u7684\u662f\u5982\u4f55\u8bbe\u8ba1\u548c\u53d1\u73b0\u65b0\u7684\u6750\u6599\u4ee5\u6ee1\u8db3\u7279\u5b9a\u7684\u5e94\u7528\u9700\u6c42\u3002\u8fd9\u4e2a\u9886\u57df\u901a\u5e38\u9700\u8981\u4f7f\u7528\u5206\u5b50\u6a21\u62df\u7b49\u6280\u672f\u6765\u9884\u6d4b\u65b0\u6750\u6599\u7684\u6027\u8d28\u3002<\/span><\/section>\n
8. \u836f\u7269\u7814\u53d1\uff08Drug Development\uff09<\/span><\/strong>\uff1a\u836f\u7269\u7814\u53d1\u662f\u4e00\u4e2a\u590d\u6742\u7684\u8fc7\u7a0b\uff0c\u5305\u62ec\u836f\u7269\u8bbe\u8ba1\u3001\u836f\u6548\u8bc4\u4f30\u3001\u4e34\u5e8a\u8bd5\u9a8c\u7b49\u591a\u4e2a\u6b65\u9aa4\u3002\u5728\u8fd9\u4e2a\u8fc7\u7a0b\u4e2d\uff0c\u5206\u5b50\u6a21\u62df\u548c\u5176\u4ed6\u8ba1\u7b97\u6280\u672f\u88ab\u5e7f\u6cdb\u7528\u4e8e\u9884\u6d4b\u836f\u7269\u5206\u5b50\u7684\u6027\u8d28\u548c\u836f\u6548\u3002\u63a8\u8350\u9605\u8bfb\uff1a\u5373\u5c06\u5f00\u5c55\u7684\u56fe\u795e\u7ecf\u7f51\u7edc\u4e0e\u7ec4\u5408\u4f18\u5316\u8bfb\u4e66\u4f1a<\/a>\u4e3b\u9898\u4e94\u2014\u2014\u56fe\u795e\u7ecf\u7f51\u7edc\u662fAI for Science\u9886\u57df\u7684\u57fa\u7840\u5de5\u5177\uff0c\u6781\u5927\u63a8\u52a8\u4e86AI\u5728\u5206\u5b50\u52a8\u529b\u5b66\u6a21\u62df\u3001\u6750\u6599\u8bbe\u8ba1\u3001\u836f\u7269\u53d1\u73b0\u7b49\u4efb\u52a1\u4e0a\u7684\u5e94\u7528\u524d\u666f\u3002<\/span><\/section>\n
<\/span><\/section>\n
<\/span><\/section>\n
<\/span><\/section>\n

<\/section>\n

<\/section>\n

\n
\n
\n
\n
\n

<\/section>\n

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

\u4e3b\u8bb2\u4eba\u4ecb\u7ecd<\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n
<\/p>\n

<\/strong><\/section>\n
<\/section>\n
\u4ed8\u8944<\/strong>\u662f\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u8ba1\u7b97\u673a\u4e0e\u4eba\u5de5\u667a\u80fd\u5b9e\u9a8c\u5ba4\u7684\u535a\u58eb\u751f\uff0c\u5bfc\u5e08\u662fTommi Jaakkola\u6559\u6388\u3002\u4ed6\u5bf9\u5b66\u4e60\u591a\u5c3a\u5ea6\u7cfb\u7edf\u7684\u751f\u6210\u6a21\u578b\u548c\u52a8\u529b\u5b66\u6a21\u578b\u611f\u5174\u8da3\uff0c\u65e8\u5728\u63ed\u793a\u5b83\u4eec\u590d\u6742\u7684\u5206\u5c42\u7ed3\u6784\u3001\u6d8c\u73b0\u73b0\u8c61\uff0c\u5e76\u5f00\u53d1\u521b\u65b0\u6280\u672f\u4ee5\u5b9e\u73b0\u9ad8\u6548\u8ba1\u7b97\u3002\u4ed6\u76ee\u524d\u7684\u7814\u7a76\u91cd\u70b9\u662f\u5206\u5b50\u52a8\u529b\u5b66\u548c\u6750\u6599\u53d1\u73b0\u3002<\/span><\/section>\n
<\/span><\/section>\n

<\/span><\/section>\n
<\/section>\n
\u5f20\u4e0e\u4e4b<\/span><\/strong>\uff0c\u6df1\u52bf\u79d1\u6280\u7b97\u6cd5\u7814\u7a76\u5458\uff0c\u6bd5\u4e1a\u4e8e\u5317\u4eac\u5927\u5b66\u3002\u4e0e\u4e4b\u662f\u201c\u6df1\u5ea6\u52bf\u80fd\u201d\u7cfb\u5217\u5f00\u6e90\u8f6f\u4ef6DeePMD-kit\u4e0eDP-GEN\u7684\u6838\u5fc3\u5f00\u53d1\u8005\u4e4b\u4e00\uff0c\u76f8\u5173\u8f6f\u4ef6\u88ab\u5e7f\u6cdb\u5730\u7528\u4e8e\u5206\u5b50\u6a21\u62df\u4e0e\u6750\u6599\u8bbe\u8ba1\uff1b\u4e3b\u5bfc\u7814\u53d1\u4e86\u836f\u7269\u8bbe\u8ba1\u9886\u57df\u81ea\u7531\u80fd\u5fae\u6270\u8ba1\u7b97\u8f6f\u4ef6Hermite Uni-FEP\u4e0e\u5fae\u5c3a\u5ea6\u79d1\u5b66\u8ba1\u7b97\u4e91\u5e73\u53f0Bohrium\uff0c\u6210\u679c\u5165\u9009\u201c\u5317\u4eac\u5efa\u8bbe\u56fd\u5bb6\u4eba\u5de5\u667a\u80fd\u521b\u65b0\u5e94\u7528\u5148\u5bfc\u533a\u4f18\u79c0\u6848\u4f8b\u201d \u3002<\/span><\/section>\n
<\/span><\/section>\n

<\/section>\n
\u53c2\u8003\u6587\u732e<\/span><\/strong><\/span><\/section>\n

Fu, Xiang, Zhenghao Wu, Wujie Wang, Tian Xie, Sinan Keten, Rafael Gomez-Bombarelli, and Tommi S. Jaakkola. \u201cForces Are Not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations.\u201d Transactions on Machine Learning Research, May 11, 2023. https:\/\/openreview.net\/forum?id=A8pqQipwkt.<\/span><\/p>\n


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

<\/section>\n

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

\n
\n
\n
\n
\n

<\/section>\n

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

\u76f4\u64ad\u4fe1\u606f<\/strong><\/strong><\/p>\n<\/section>\n

\n

<\/section>\n

<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n<\/h3>\n

<\/section>\n

\u76f4\u64ad\u65f6\u95f4\uff1a<\/span><\/strong><\/h3>\n

2023\u5e74<\/span>6\u670818\u65e5\uff08\u5468\u65e5\uff09  20:00-22:00<\/span><\/h3>\n

<\/span><\/span><\/h3>\n

<\/h3>\n

<\/section>\n
\u53c2\u4e0e\u65b9\u5f0f\uff1a<\/span><\/strong><\/section>\n
<\/mp-common-videosnap><\/section>\n
<\/span><\/strong><\/section>\n
<\/span><\/section>\n
\u626b\u7801\u53c2\u4e0e\u8bfb\u4e66\u4f1a\uff0c\u52a0\u5165\u7fa4\u804a\u83b7\u53d6\u672c\u7cfb\u5217\u8bfb\u4e66\u4f1a\u7684\u89c6\u9891\u56de\u653e\u6743\u9650\u3001\u8d44\u6599\u6743\u9650\uff0c\u4e0e\u793e\u533a\u7684\u4e00\u7ebf\u79d1\u7814\u5de5\u4f5c\u8005\u548c\u4f01\u4e1a\u5b9e\u8df5\u8005\u6c9f\u901a\u4ea4\u6d41\u3002<\/span><\/section>\n

<\/section>\n

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

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

\n


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

AI+Science \u662f\u8fd1\u5e74\u5174\u8d77\u7684\u5c06\u4eba\u5de5\u667a\u80fd\u548c\u79d1\u5b66\u76f8\u7ed3\u5408\u7684\u4e00\u79cd\u8d8b\u52bf\u3002\u4e00\u65b9\u9762\u662f AI for Science\uff0c\u673a\u5668\u5b66\u4e60\u548c\u5176\u4ed6 AI \u6280\u672f\u53ef\u4ee5\u7528\u6765\u89e3\u51b3\u79d1\u5b66\u7814\u7a76\u4e2d\u7684\u95ee\u9898\uff0c\u4ece\u9884\u6d4b\u5929\u6c14\u548c\u86cb\u767d\u8d28\u7ed3\u6784\uff0c\u5230\u6a21\u62df\u661f\u7cfb\u78b0\u649e\u3001\u8bbe\u8ba1\u4f18\u5316\u6838\u805a\u53d8\u53cd\u5e94\u5806\uff0c\u751a\u81f3\u50cf\u79d1\u5b66\u5bb6\u4e00\u6837\u8fdb\u884c\u79d1\u5b66\u53d1\u73b0\uff0c\u88ab\u79f0\u4e3a\u79d1\u5b66\u53d1\u73b0\u7684\u201c\u7b2c\u4e94\u8303\u5f0f\u201d\u3002\u53e6\u4e00\u65b9\u9762\u662f Science for AI\uff0c\u79d1\u5b66\u5c24\u5176\u662f\u7269\u7406\u5b66\u4e2d\u7684\u89c4\u5f8b\u548c\u601d\u60f3\u542f\u53d1\u673a\u5668\u5b66\u4e60\u7406\u8bba\uff0c\u4e3a\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u63d0\u4f9b\u5168\u65b0\u7684\u89c6\u89d2\u548c\u65b9\u6cd5\u3002<\/span><\/section>\n

<\/section>\n
\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u65af\u5766\u798f\u5927\u5b66\u8ba1\u7b97\u673a\u79d1\u5b66\u7cfb\u535a\u58eb\u540e\u7814\u7a76\u5458\u5434\u6cf0\u9716\uff08Jure Leskovec \u6559\u6388\u6307\u5bfc\uff09\u3001\u54c8\u4f5b\u91cf\u5b50\u8ba1\u5212\u7814\u7a76\u5458\u6248\u9e3f\u4e1a\u3001\u9ebb\u7701\u7406\u5de5\u5b66\u9662\u7269\u7406\u7cfb\u535a\u58eb\u751f\u5218\u5b50\u9e23\uff08Max Tegmark \u6559\u6388\u6307\u5bfc\uff09\uff0c\u5171\u540c\u53d1\u8d77\u4ee5\u201cAI+Science<\/a>\u201d\u4e3a\u4e3b\u9898\u7684\u8bfb\u4e66\u4f1a\uff0c\u63a2\u8ba8\u8be5\u9886\u57df\u7684\u91cd\u8981\u95ee\u9898\uff0c\u5171\u5b66\u5171\u7814\u76f8\u5173\u6587\u732e\u3002\u8bfb\u4e66\u4f1a\u4ece2023\u5e743\u670826\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u65e5\u65e9\u4e0a 10:00-12:00 \u7ebf\u4e0a\u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba110\u5468\u3002\u6b22\u8fce\u5bf9\u63a2\u7d22\u8fd9\u4e2a\u6fc0\u52a8\u4eba\u5fc3\u7684\u524d\u6cbf\u9886\u57df\u6709\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\u3002<\/span><\/section>\n

<\/section>\n
<\/span><\/span><\/a><\/section>\n

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

<\/section>\n

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

\u96c6\u667a\u5b66\u56ed\u6700\u65b0AI\u8bfe\u7a0b\uff0c<\/strong><\/p>\n

\u5f20\u6c5f\u6559\u6388\u4eb2\u6388\uff1a<\/strong>\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u6280\u672f\u57fa\u7840<\/strong><\/p>\n

\u2014\u2014\u4ece\u53ef\u5fae\u5206\u7f16\u7a0b\u5230\u56e0\u679c\u63a8\u7406<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

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

\u81ea1956\u5e74\u201c\u4eba\u5de5\u667a\u80fd\u201d\u8bde\u751f\u4e8e\u8fbe\u7279\u8305\u65af\u4f1a\u8bae\u4ee5\u6765\uff0c\u5df2\u7ecf\u7ecf\u5386\u4e86\u4ece\u65e9\u671f\u7684\u4ee5\u7b26\u53f7\u63a8\u7406\u4e3a\u4e3b\u4f53\u7684\u7b2c\u4e00\u4ee3\u4eba\u5de5\u667a\u80fd\uff0c\u548c\u4ee5\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u3001\u673a\u5668\u5b66\u4e60\u4e3a\u4e3b\u4f53\u7684\u7b2c\u4e8c\u4ee3\u4eba\u5de5\u667a\u80fd\u3002ChatGPT\u7684\u6a2a\u7a7a\u51fa\u4e16\u3001\u751f\u6210\u5f0fAI\u7684\u666e\u53ca\u3001AI for Science\u7b49\u65b0\u9886\u57df\u7684\u7a81\u7834\uff0c\u6807\u5fd7\u7740\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u547c\u4e4b\u6b32\u51fa\u3002\u53ef\u5fae\u5206\u7f16\u7a0b\u3001\u795e\u7ecf\u5fae\u5206\u65b9\u7a0b\u3001\u81ea\u76d1\u7763\u5b66\u4e60\u3001\u751f\u6210\u5f0f\u6a21\u578b\u3001Transformer\u3001\u57fa\u4e8e\u56fe\u7f51\u7edc\u7684\u5b66\u4e60\u4e0e\u63a8\u7406\u3001\u56e0\u679c\u8868\u5f81\u4e0e\u56e0\u679c\u63a8\u65ad\uff0c\u57fa\u4e8e\u4e16\u754c\u6a21\u578b\u7684\u5f3a\u5316\u5b66\u4e60\u2026\u2026\uff0c\u6240\u6709\u8fd9\u4e9b\u8131\u80ce\u4e8e\u524d\u4e24\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u6280\u672f\u8981\u7d20\u5f88\u6709\u53ef\u80fd\u5c06\u6784\u6210\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u7684\u7406\u8bba\u4e0e\u6280\u672f\u7684\u57fa\u7840\u3002<\/span><\/p>\n


<\/section>\n
\u672c\u8bfe\u7a0b\u8bd5\u56fe\u7cfb\u7edf\u68b3\u7406\u4ece\u673a\u5668\u5b66\u4e60\u5230\u5927\u8bed\u8a00\u6a21\u578b\uff0c\u4ece\u56fe\u795e\u7ecf\u7f51\u7edc\u5230\u56e0\u679c\u63a8\u7406\u7b49\u4e00\u7cfb\u5217\u53ef\u80fd\u6210\u4e3a\u7b2c\u4e09\u4ee3\u4eba\u5de5\u667a\u80fd\u57fa\u7840\u7684\u6280\u672f\u8981\u7d20\uff0c\u4e3a\u7814\u7a76\u8005\u6216\u5b66\u751f\u5728\u751f\u6210\u5f0fAI\u3001\u5927\u6a21\u578b\u3001AI for Science\u7b49\u76f8\u5173\u9886\u57df\u7684\u5b66\u4e60\u548c\u7814\u7a76\u5de5\u4f5c\u5960\u5b9a\u57fa\u7840\u3002<\/span><\/section>\n

<\/section>\n

<\/section>\n
<\/section>\n
https:\/\/campus.swarma.org\/course\/5084?from=wechat<\/span><\/section>\n

<\/section>\n

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

\u56fe\u795e\u7ecf\u7f51\u7edc\u4e0e\u7ec4\u5408\u4f18\u5316\u8bfb\u4e66\u4f1a\u542f\u52a8<\/strong><\/p>\n<\/section>\n<\/section>\n<\/section>\n<\/section>\n

\n


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

\u73b0\u5b9e\u4e16\u754c\u4e2d\u5927\u91cf\u95ee\u9898\u7684\u89e3\u51b3\u4f9d\u8d56\u4e8e\u7b97\u6cd5\u7684\u8bbe\u8ba1\u4e0e\u6c42\u89e3\u3002\u4f20\u7edf\u7b97\u6cd5\u7531\u4eba\u7c7b\u4e13\u5bb6\u8bbe\u8ba1\uff0c\u800c\u968f\u7740\u4eba\u5de5\u667a\u80fd\u6280\u672f\u4e0d\u65ad\u53d1\u5c55\uff0c\u7b97\u6cd5\u81ea\u52a8\u5b66\u4e60\u7b97\u6cd5\u7684\u6848\u4f8b\u65e5\u76ca\u589e\u591a\uff0c\u5982\u4ee5\u795e\u7ecf\u7f51\u7edc\u4e3a\u4ee3\u8868\u7684\u7684\u4eba\u5de5\u667a\u80fd\u7b97\u6cd5\uff0c\u8fd9\u662f\u7b97\u6cd5\u795e\u7ecf\u5316\u6c42\u89e3\u7684\u7f18\u7531\u3002\u5728\u7b97\u6cd5\u795e\u7ecf\u5316\u6c42\u89e3\u65b9\u5411\u4e0a\uff0c\u56fe\u795e\u7ecf\u7f51\u7edc\u662f\u4e00\u4e2a\u5f3a\u6709\u529b\u7684\u5de5\u5177\uff0c\u80fd\u591f\u5145\u5206\u5229\u7528\u56fe\u7ed3\u6784\u7684\u7279\u6027\uff0c\u5b9e\u73b0\u5bf9\u9ad8\u590d\u6742\u5ea6\u7b97\u6cd5\u7684\u9ad8\u6548\u8fd1\u4f3c\u6c42\u89e3\u3002\u57fa\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u7684\u590d\u6742\u7cfb\u7edf\u4f18\u5316\u4e0e\u63a7\u5236\u5c06\u4f1a\u662f\u5927\u6a21\u578b\u70ed\u6f6e\u4e4b\u540e\u65b0\u7684\u672a\u6765\u65b9\u5411\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u4e3a\u4e86\u63a2\u8ba8\u56fe\u795e\u7ecf\u7f51\u7edc\u5728\u7b97\u6cd5\u795e\u7ecf\u5316\u6c42\u89e3\u7684\u53d1\u5c55\u4e0e\u73b0\u5b9e\u5e94\u7528\uff0c\u96c6\u667a\u4ff1\u4e50\u90e8\u8054\u5408\u56fd\u9632\u79d1\u6280\u5927\u5b66\u7cfb\u7edf\u5de5\u7a0b\u5b66\u9662\u526f\u6559\u6388\u8303\u957f\u4fca\u3001\u4e2d\u56fd\u4eba\u6c11\u5927\u5b66\u9ad8\u74f4\u4eba\u5de5\u667a\u80fd\u5b66\u9662\u52a9\u7406\u6559\u6388\u9ec4\u6587\u70b3\uff0c\u5171\u540c\u53d1\u8d77\u300c\u56fe\u795e\u7ecf\u7f51\u7edc\u4e0e\u7ec4\u5408\u4f18\u5316\u300d\u8bfb\u4e66\u4f1a\u3002\u8bfb\u4e66\u4f1a\u5c06\u805a\u7126\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u4e0e\u7b97\u6cd5\u795e\u7ecf\u5316\u6c42\u89e3\u7684\u76f8\u5173\u9886\u57df\uff0c\u5305\u62ec\u795e\u7ecf\u7b97\u6cd5\u63a8\u7406\u3001\u7ec4\u5408\u4f18\u5316\u95ee\u9898\u6c42\u89e3\u3001\u51e0\u4f55\u56fe\u795e\u7ecf\u7f51\u7edc\uff0c\u4ee5\u53ca\u7b97\u6cd5\u795e\u7ecf\u5316\u6c42\u89e3\u5728 AI for Science \u4e2d\u7684\u5e94\u7528\u7b49\u65b9\u9762\uff0c\u5e0c\u671b\u4e3a\u53c2\u4e0e\u8005\u63d0\u4f9b\u4e00\u4e2a\u5b66\u672f\u4ea4\u6d41\u5e73\u53f0\uff0c\u6fc0\u53d1\u53c2\u4e0e\u8005\u7684\u5b66\u672f\u5174\u8da3\uff0c\u8fdb\u4e00\u6b65\u63a8\u52a8\u76f8\u5173\u9886\u57df\u7684\u7814\u7a76\u548c\u5e94\u7528\u53d1\u5c55\u3002\u8bfb\u4e66\u4f1a\u4ece2023\u5e746\u670814\u65e5\u5f00\u59cb\uff0c\u6bcf\u5468\u4e09\u665a 19:00-21:00 \u4e3e\u884c\uff0c\u6301\u7eed\u65f6\u95f4\u9884\u8ba18\u5468\u3002\u6b22\u8fce\u611f\u5174\u8da3\u7684\u670b\u53cb\u62a5\u540d\u53c2\u4e0e\uff01<\/span><\/section>\n

<\/span><\/section>\n
<\/span><\/a><\/section>\n
\u8be6\u60c5\u8bf7\u89c1\uff1a<\/span><\/section>\n
\u52a0\u901f\u7ecf\u5178\u7b97\u6cd5\u6548\u7387\uff0c\u7a81\u7834\u73b0\u5b9e\u6280\u672f\u74f6\u9888\uff1a\u56fe\u795e\u7ecf\u7f51\u7edc\u4e0e\u7ec4\u5408\u4f18\u5316\u8bfb\u4e66\u4f1a\u542f\u52a8<\/a><\/span>
<\/span><\/section>\n


<\/p>\n


<\/section>\n

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

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

\u5bfc\u8bed \u5b66\u4e60\u5206\u5b50\u52a8\u529b\u5b66(MD)\u6a21\u62df\uff0c\u5bf9\u4e8e\u66ff\u4ee3\u79d1\u5b66\u8ba1\u7b97\u4e2d\u5e7f\u6cdb\u4f7f\u7528\u7684\u6602\u8d35\u91cf\u5b50\u529b\u5b66\u8ba1\u7b97\u975e\u5e38\u6709\u7528\u3002\u5c3d\u7ba1\u6700\u8fd1\u53d6\u5f97\u4e86\u8bb8\u591a\u8fdb\u5c55\uff0c\u4f46\u73b0\u6709\u7684\u673a\u5668\u5b66\u4e60\u52bf\u573a\u662f\u5426\u8db3\u591f\u7528\u4e8e\u79d1\u5b66\u76ee\u7684\u5462\uff1f\u6211\u4eec\u662f\u5426\u4ee5\u6b63\u786e\u7684\u65b9\u5f0f\u6bd4\u8f83\u4e0d\u540c\u7684\u6a21\u578b\uff1f \u8ba1\u7b97\u5df2\u6210\u4e3a\u524d\u6cbf\u79d1\u7814\u5de5\u4f5c\u8005\u7fa4\u4f53\u6700\u4e3b\u8981\u7684\u79d1\u7814\u624b\u6bb5\u4e4b\u4e00\uff0cAI for Science\u4e0e\u4e91\u539f\u751f\u65f6\u4ee3\u7684\u5230\u6765\uff0c\u6b63\u5728\u6210\u4e3a…<\/p>\n","protected":false},"author":0,"featured_media":43200,"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\/43206"}],"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=43206"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/43206\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/43200"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=43206"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=43206"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=43206"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=43206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}