{"id":52856,"date":"2024-09-26T20:07:29","date_gmt":"2024-09-26T12:07:29","guid":{"rendered":"https:\/\/swarma.org\/?p=52856"},"modified":"2024-09-26T20:07:29","modified_gmt":"2024-09-26T12:07:29","slug":"%e6%b7%b1%e5%ba%a6%e5%ad%a6%e4%b9%a0%e8%a7%a3%e5%86%b3%e8%ae%a1%e7%ae%97%e9%87%8f%e5%ad%90%e5%8c%96%e5%ad%a6%e5%9f%ba%e6%9c%ac%e9%97%ae%e9%a2%98%ef%bc%8c%e6%8e%a2%e7%b4%a2%e7%89%a9%e8%b4%a8%e4%b8%8e","status":"publish","type":"post","link":"https:\/\/swarma.org\/?p=52856","title":{"rendered":"\u6df1\u5ea6\u5b66\u4e60\u89e3\u51b3\u8ba1\u7b97\u91cf\u5b50\u5316\u5b66\u57fa\u672c\u95ee\u9898\uff0c\u63a2\u7d22\u7269\u8d28\u4e0e\u5149\u5982\u4f55\u76f8\u4e92\u4f5c\u7528"},"content":{"rendered":"
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David Pfau\uff0cJames Spencer<\/span> <\/span>| \u4f5c\u8005<\/span><\/strong><\/span><\/p>\n

\u9f9a\u94ed\u5eb7<\/span><\/span> <\/span>| \u8bd1\u8005<\/span><\/strong><\/span><\/strong><\/span><\/p>\n


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\u8bba\u6587\u9898\u76ee\uff1a<\/span><\/p>\n

Accurate computation of quantum excited states with neural networks<\/span><\/p>\n

\u8bba\u6587\u5730\u5740\uff1a<\/span><\/section>\n
https:\/\/www.science.org\/doi\/abs\/10.1126\/science.adn0137<\/span><\/section>\n<\/section>\n<\/section>\n<\/blockquote>\n


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2020\u5e74\u53d1\u8868\u4e8e Physical Review Research<\/em> <\/em>\u4e0a\u7684\u6587\u7ae0\u5c55\u793a\u4e86\u6df1\u5ea6\u5b66\u4e60\u5982\u4f55\u5e2e\u52a9\u89e3\u51b3\u73b0\u5b9e\u7cfb\u7edf\u4e2d\u7684\u91cf\u5b50\u529b\u5b66\u57fa\u672c\u65b9\u7a0b\u3002\u8fd9\u4e0d\u4ec5\u662f\u4e00\u4e2a\u91cd\u8981\u7684\u57fa\u7840\u79d1\u5b66\u95ee\u9898\uff0c\u4e5f\u53ef\u80fd\u5728\u672a\u6765\u5e26\u6765\u5b9e\u9645\u5e94\u7528\uff0c\u4f7f\u7814\u7a76\u4eba\u5458\u80fd\u591f\u5728\u5b9e\u9a8c\u5ba4\u5b9e\u9645\u5236\u9020\u4e4b\u524d\uff0c\u901a\u8fc7\u8ba1\u7b97\u673a\u6a21\u62df\u6765\u539f\u578b\u5316\u65b0\u6750\u6599\u548c\u5316\u5b66\u5408\u6210\u3002<\/span><\/section>\n

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\u8bba\u6587\u9898\u76ee\uff1aAb initio<\/em> solution of the many-electron Schr\u00f6dinger equation with deep neural networks<\/span><\/section>\n
\u8bba\u6587\u5730\u5740\uff1ahttps:\/\/journals.aps.org\/prresearch\/abstract\/10.1103\/PhysRevResearch.2.033429<\/span><\/section>\n<\/blockquote>\n

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\u795e\u7ecf\u7f51\u7edc\u67b6\u6784 FermiNet<\/span>\uff08Fermionic Neural Network\uff0c\u8d39\u7c73\u5b50\u795e\u7ecf\u7f51\u7edc\uff09<\/span>\u975e\u5e38\u9002\u5408\u6a21\u62df\u5927\u91cf\u7535\u5b50\u7684\u91cf\u5b50\u6001\uff0c\u7535\u5b50\u662f\u5316\u5b66\u952e\u7684\u57fa\u672c\u7ec4\u6210\u90e8\u5206\u3002FermiNet \u662f\u7b2c\u4e00\u4e2a\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u4ece\u7b2c\u4e00<\/strong>\u6027<\/strong>\u539f\u7406\u8ba1\u7b97\u539f\u5b50\u548c\u5206\u5b50\u80fd\u91cf\u7684<\/strong>\u793a\u4f8b<\/strong>\uff0c\u5e76\u4e14\u5176\u7cbe\u5ea6\u8db3\u591f\u9ad8\uff0c\u5177\u6709\u5b9e\u9645\u7528\u9014\u3002\u800c\u6211\u4eec\u57fa\u4e8e\u81ea\u6ce8\u610f\u529b\u673a\u5236\u7684\u65b0\u67b6\u6784 Psiformer \u8fc4\u4eca\u4e3a\u6b62\u4ecd\u7136\u662f\u6700\u7cbe\u786e\u7684\u4eba\u5de5\u667a\u80fd\u65b9\u6cd5\u3002\u6211\u4eec\u5c06 FermiNet \u52a0\u5165\u5230\u86cb\u767d\u8d28\u6298\u53e0\u3001\u73bb\u7483\u6001\u52a8\u529b\u5b66\u3001\u6676\u683c\u91cf\u5b50\u8272\u52a8\u529b\u5b66\u7b49\u8bb8\u591a\u9879\u76ee\u4e2d\uff0c\u5e0c\u671b\u5728\u4eba\u5de5\u667a\u80fd\u7814\u7a76\u4e2d\u5f00\u53d1\u7684\u5de5\u5177\u548c\u7406\u5ff5\u80fd\u591f\u5e2e\u52a9\u89e3\u51b3\u57fa\u7840\u79d1\u5b66\u95ee\u9898\u3002<\/span><\/section>\n

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\u2014\u2014\u4fdd\u7f57\u00b7\u72c4\u62c9\u514b\uff08Paul Dirac\uff09\uff0c\u91cf\u5b50\u529b\u5b66\u5960\u57fa\u8005\uff0c1929\u5e74<\/span><\/section>\n<\/blockquote>\n

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\u4e0d\u5e78\u7684\u662f\uff0c0.5% \u7684\u8bef\u5dee\u5bf9\u4e8e\u5b9e\u9645\u5de5\u4f5c\u7684\u5316\u5b66\u5bb6\u6765\u8bf4\u4ecd\u7136\u4e0d\u591f\u6709\u7528\u3002\u5206\u5b50\u952e\u4e2d\u7684\u80fd\u91cf\u53ea\u5360\u7cfb\u7edf\u603b\u80fd\u91cf\u7684\u6781\u5c0f\u4e00\u90e8\u5206\uff0c\u6b63\u786e\u9884\u6d4b\u4e00\u4e2a\u5206\u5b50\u7684\u7a33\u5b9a\u6027\u901a\u5e38\u53ef\u80fd\u53ea\u53d6\u51b3\u4e8e\u603b\u80fd\u91cf\u7684 0.001%\uff0c\u6216\u8005\u5927\u7ea6 0.2% \u7684\u201c\u5173\u8054\u201d\u80fd\u91cf\u3002\u4f8b\u5982\uff0c\u5728\u4e01\u4e8c\u70ef\u5206\u5b50\u4e2d\uff0c\u7535\u5b50\u7684\u603b\u80fd\u91cf\u63a5\u8fd1\u6bcf\u6469\u5c14 100,000 \u5343\u5361\uff0c\u4f46\u4e0d\u540c\u5206\u5b50\u5f62\u72b6\u4e4b\u95f4\u7684\u80fd\u91cf\u5dee\u5f02\u4ec5\u4e3a\u6bcf\u6469\u5c14 1 \u5343\u5361\u3002\u8fd9\u610f\u5473\u7740\u5982\u679c\u4f60\u60f3\u6b63\u786e\u9884\u6d4b\u4e01\u4e8c\u70ef\u7684\u81ea\u7136\u5f62\u6001\uff0c\u90a3\u4e48\u6240\u9700\u7684\u7cbe\u5ea6\u5c31\u76f8\u5f53\u4e8e\u4ee5\u6beb\u7c73\u4e3a\u5355\u4f4d\u6d4b\u91cf\u8db3\u7403\u573a\u7684\u5bbd\u5ea6\u3002<\/span><\/section>\n

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\u5c3d\u7ba1\u73b0\u6709\u7684\u8ba1\u7b97\u91cf\u5b50\u529b\u5b66\u5de5\u5177\u79cd\u7c7b\u7e41\u591a\uff0c\u6211\u4eec\u8ba4\u4e3a\u4ecd\u7136\u9700\u8981\u4e00\u79cd\u65b0\u65b9\u6cd5\u6765\u89e3\u51b3\u9ad8\u6548\u8868\u793a\u7684\u95ee\u9898\u3002\u5373\u4f7f\u662f\u6700\u7c97\u7565\u7684\u65b9\u6cd5\uff0c\u6700\u5927\u7684\u91cf\u5b50\u5316\u5b66\u8ba1\u7b97\u4e5f\u4ec5\u80fd\u5904\u7406\u6570\u4e07\u7535\u5b50\uff0c\u800c\u7ecf\u5178\u7684\u5316\u5b66\u8ba1\u7b97\u6280\u672f\u5982\u5206\u5b50\u52a8\u529b\u5b66\u53ef\u4ee5\u5904\u7406\u6570\u767e\u4e07\u4e2a\u539f\u5b50\u3002<\/span><\/section>\n

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\u7ecf\u5178\u7cfb\u7edf\u7684\u72b6\u6001\u53ef\u4ee5\u5f88\u5bb9\u6613\u5730\u63cf\u8ff0\u2014\u2014\u6211\u4eec\u53ea\u9700\u8ddf\u8e2a\u6bcf\u4e2a\u7c92\u5b50\u7684\u4f4d\u7f6e\u548c\u52a8\u91cf\u3002\u63cf\u8ff0\u91cf\u5b50\u7cfb\u7edf\u7684\u72b6\u6001\u5219\u56f0\u96be\u5f97\u591a<\/strong>\uff0c<\/strong>\u9700\u8981\u4e3a\u6bcf\u79cd\u53ef\u80fd\u7684\u7535\u5b50\u4f4d\u7f6e<\/strong>\u6784\u578b<\/strong>\u8d4b\u4e88\u4e00\u4e2a\u6982\u7387<\/strong>\u3002\u8fd9\u79cd\u6784\u578b\u7f16\u7801\u5728\u6ce2\u51fd\u6570\u4e2d\uff0c\u6ce2\u51fd\u6570\u4e3a\u6bcf\u79cd\u7535\u5b50\u6784\u578b\u5206\u914d\u4e00\u4e2a\u6b63\u6216\u8d1f\u6570\uff0c\u6ce2\u51fd\u6570\u7684\u5e73\u65b9\u7ed9\u51fa\u4e86\u7cfb\u7edf\u5904\u4e8e\u8be5\u6784\u578b\u4e2d\u7684\u6982\u7387\u3002<\/span><\/section>\n

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\u6240\u6709\u53ef\u80fd\u6784\u578b\u7684\u7a7a\u95f4\u662f\u5de8\u5927\u7684\u2014\u2014\u5982\u679c\u4f60\u5c1d\u8bd5\u7528\u6bcf\u7ef4100\u4e2a\u70b9\u6765\u8868\u793a\uff0c\u90a3\u4e48\u5bf9\u4e8e\u7845\u539f\u5b50\u6765\u8bf4\uff0c\u53ef\u80fd\u7684\u7535\u5b50\u6784\u578b\u6570\u91cf\u5c06\u8d85\u8fc7\u5b87\u5b99\u4e2d\u7684\u539f\u5b50\u6570\u91cf\u3002\u8fd9\u6b63\u662f\u6211\u4eec\u8ba4\u4e3a\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc<\/span>\uff08deep neural networks\uff09<\/span>\u53ef\u4ee5\u53d1\u6325\u4f5c\u7528\u7684\u5730\u65b9\u3002\u5728\u8fc7\u53bb\u51e0\u5e74\u91cc\uff0c\u4f7f\u7528\u795e\u7ecf\u7f51\u7edc\u8868\u793a\u590d\u6742\u7684\u9ad8\u7ef4\u6982\u7387\u5206\u5e03\u53d6\u5f97\u4e86\u5de8\u5927\u8fdb\u5c55\u3002\u6211\u4eec\u73b0\u5728\u77e5\u9053\u5982\u4f55\u9ad8\u6548\u4e14\u53ef\u6269\u5c55\u5730\u8bad\u7ec3\u8fd9\u4e9b\u7f51\u7edc\uff0c\u5e76\u731c\u6d4b\u9274\u4e8e\u8fd9\u4e9b\u7f51\u7edc\u80fd\u591f\u5728\u4eba\u5de5\u667a\u80fd\u95ee\u9898\u4e2d\u62df\u5408\u9ad8\u7ef4\u51fd\u6570\uff0c\u6216\u8bb8\u5b83\u4eec\u4e5f\u53ef\u4ee5\u7528\u6765\u8868\u793a\u91cf\u5b50\u6ce2\u51fd\u6570\u3002<\/span><\/section>\n

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\u6b64\u524d\u7684\u7814\u7a76\u5c55\u793a\u4e86\u73b0\u4ee3\u6df1\u5ea6\u5b66\u4e60\u5982\u4f55\u7528\u4e8e\u89e3\u51b3\u7406\u60f3\u5316\u7684\u91cf\u5b50\u95ee\u9898\u3002\u6211\u4eec\u5e0c\u671b\u4f7f\u7528\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u6765\u89e3\u51b3\u5316\u5b66\u548c\u51dd\u805a\u6001\u7269\u7406\u4e2d\u66f4\u73b0\u5b9e\u7684\u95ee\u9898\uff0c\u8fd9\u610f\u5473\u7740\u6211\u4eec\u5fc5\u987b\u5728\u8ba1\u7b97\u4e2d\u8003\u8651\u7535\u5b50\u3002<\/span><\/section>\n

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\u5904\u7406\u7535\u5b50\u65f6\u53ea\u6709\u4e00\u4e2a\u5c0f\u96be\u70b9\u3002\u7535\u5b50\u5fc5\u987b\u9075\u5b88\u6ce1\u5229\u4e0d\u76f8\u5bb9\u539f\u7406<\/span>\uff08Pauli exclusion principle\uff09<\/span>\uff0c\u4e0d\u80fd\u540c\u65f6\u5904\u4e8e\u540c\u4e00\u4e2a\u7a7a\u95f4\u3002\u8fd9\u662f\u56e0\u4e3a\u7535\u5b50\u662f\u4e00\u79cd\u79f0\u4e3a\u8d39\u7c73\u5b50<\/span>\uff08fermions\uff09<\/span>\u7684\u7c92\u5b50\uff0c\u8fd9\u7c7b\u7c92\u5b50\u5305\u62ec\u5927\u591a\u6570\u7269\u8d28\u7684\u7ec4\u6210\u90e8\u5206\uff1a\u8d28\u5b50\u3001\u4e2d\u5b50\u3001\u5938\u514b\u3001\u4e2d\u5fae\u5b50\u7b49\u3002\u5b83\u4eec\u7684\u6ce2\u51fd\u6570\u5fc5\u987b\u662f\u53cd\u5bf9\u79f0\u7684\u3002\u5982\u679c\u4ea4\u6362\u4e24\u4e2a\u7535\u5b50\u7684\u4f4d\u7f6e\uff0c\u6ce2\u51fd\u6570\u5c31\u4f1a\u4e58\u4ee5-1\u3002\u8fd9\u610f\u5473\u7740\u5982\u679c\u4e24\u4e2a\u7535\u5b50\u91cd\u5408\uff0c\u6ce2\u51fd\u6570<\/span>\uff08\u4ee5\u53ca\u8be5\u6784\u578b\u7684\u6982\u7387\uff09<\/span>\u5c06\u4e3a\u96f6\u3002<\/span><\/section>\n

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\u8fd9\u610f\u5473\u7740\u6211\u4eec\u5fc5\u987b\u5f00\u53d1\u4e00\u79cd\u5bf9\u8f93\u5165\u5177\u6709\u53cd\u5bf9\u79f0\u6027\u7684\u795e\u7ecf\u7f51\u7edc\uff0c\u6211\u4eec\u79f0\u4e4b\u4e3a FermiNet<\/strong>\u3002\u5728\u5927\u591a\u6570\u91cf\u5b50\u5316\u5b66\u65b9\u6cd5\u4e2d\uff0c\u53cd\u5bf9\u79f0\u6027\u662f\u901a\u8fc7\u4e00\u79cd\u79f0\u4e3a\u884c\u5217\u5f0f<\/span>\uff08determinant\uff09<\/span>\u7684\u51fd\u6570\u5f15\u5165\u7684\u3002\u77e9\u9635\u7684\u884c\u5217\u5f0f\u5177\u6709\u8fd9\u6837\u7684\u6027\u8d28\uff1a\u5982\u679c\u4ea4\u6362\u4e24\u884c\uff0c\u8f93\u51fa\u5c31\u4f1a\u4e58\u4ee5-1\uff0c\u6b63\u5982\u8d39\u7c73\u5b50\u7684\u6ce2\u51fd\u6570\u4e00\u6837\u3002\u56e0\u6b64\uff0c\u4f60\u53ef\u4ee5\u53d6\u4e00\u7ec4\u5355\u7535\u5b50\u51fd\u6570\uff0c\u5bf9\u7cfb\u7edf\u4e2d\u7684\u6bcf\u4e2a\u7535\u5b50\u8fdb\u884c\u8bc4\u4f30\uff0c\u5e76\u5c06\u6240\u6709\u7ed3\u679c\u6253\u5305\u6210\u4e00\u4e2a\u77e9\u9635\u3002\u8be5\u77e9\u9635\u7684\u884c\u5217\u5f0f\u4fbf\u662f\u4e00\u4e2a\u9002\u5f53\u7684\u53cd\u5bf9\u79f0\u6ce2\u51fd\u6570\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u4e3b\u8981\u5c40\u9650\u6027\u5728\u4e8e\uff0c\u6240\u5f97\u51fa\u7684\u51fd\u6570\u2014\u2014\u79f0\u4e3a\u65af\u83b1\u7279\u884c\u5217\u5f0f<\/span>\uff08Slater determinant\uff09<\/span>\u2014\u2014\u5e76\u4e0d\u5177\u5907\u5e7f\u6cdb\u9002\u7528\u6027\u3002<\/span><\/section>\n

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\u6df1\u5ea6\u795e\u7ecf\u7f51\u7edc\u901a\u5e38\u5728\u8868\u793a\u590d\u6742\u51fd\u6570\u65b9\u9762\u6bd4\u7ebf\u6027\u7ec4\u5408\u7684\u57fa\u51fd\u6570\u66f4\u52a0\u9ad8\u6548\u3002\u5728 FermiNet \u4e2d\uff0c\u8fd9\u662f\u901a\u8fc7\u5c06\u6bcf\u4e2a\u8fdb\u5165\u884c\u5217\u5f0f\u7684\u51fd\u6570\u8bbe\u5b9a\u4e3a\u6240\u6709\u7535\u5b50\u7684\u51fd\u6570\u6765\u5b9e\u73b0\u7684\u3002\u8fd9\u8fdc\u8fdc\u8d85\u8d8a\u4e86\u4ec5\u4f7f\u7528\u4e00\u7535\u5b50\u548c\u4e8c\u7535\u5b50\u51fd\u6570\u7684\u65b9\u6cd5\u3002FermiNet \u4e3a\u6bcf\u4e2a\u7535\u5b50\u63d0\u4f9b\u4e86\u72ec\u7acb\u7684\u4fe1\u606f\u6d41\u3002\u5982\u679c\u8fd9\u4e9b\u4fe1\u606f\u6d41\u4e4b\u95f4\u6ca1\u6709\u76f8\u4e92\u4f5c\u7528\uff0c\u8be5\u7f51\u7edc\u7684\u8868\u73b0\u529b\u5c06\u4e0d\u4f1a\u8d85\u8fc7\u4f20\u7edf\u7684\u65af\u83b1\u7279\u884c\u5217\u5f0f\u3002<\/span><\/section>\n

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\u4e3a\u4e86\u8d85\u8d8a\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u5728\u7f51\u7edc\u7684\u6bcf\u4e00\u5c42\u5bf9\u6240\u6709\u4fe1\u606f\u6d41\u7684\u4fe1\u606f\u8fdb\u884c\u5e73\u5747\uff0c\u5e76\u5c06\u8fd9\u4e9b\u4fe1\u606f\u4f20\u9012\u7ed9\u4e0b\u4e00\u5c42\u7684\u6bcf\u4e2a\u4fe1\u606f\u6d41\u3002\u8fd9\u6837\uff0c\u8fd9\u4e9b\u4fe1\u606f\u6d41\u5c31\u5177\u6709\u4e86\u6b63\u786e\u7684\u5bf9\u79f0\u6027\u8d28\uff0c\u4ece\u800c\u521b\u5efa\u4e00\u4e2a\u53cd\u5bf9\u79f0\u51fd\u6570\u3002\u8fd9\u7c7b\u4f3c\u4e8e\u56fe\u795e\u7ecf\u7f51\u7edc\u5728\u6bcf\u4e00\u5c42\u6c47\u805a\u4fe1\u606f\u7684\u65b9\u5f0f\u3002\u4e0e\u65af\u83b1\u7279\u884c\u5217\u5f0f\u4e0d\u540c\uff0cFermiNet \u662f\u901a\u7528\u51fd\u6570\u903c\u8fd1\u5668<\/strong>\uff0c\u81f3\u5c11\u5728\u795e\u7ecf\u7f51\u7edc\u5c42\u8db3\u591f\u5bbd\u65f6\u662f\u8fd9\u6837\u7684\u3002\u8fd9\u610f\u5473\u7740\uff0c\u5982\u679c\u6211\u4eec\u80fd\u591f\u6b63\u786e\u5730\u8bad\u7ec3\u8fd9\u4e9b\u7f51\u7edc\uff0c\u5b83\u4eec\u5e94\u8be5\u80fd\u591f\u62df\u5408\u63a5\u8fd1\u7cbe\u786e\u7684\u859b\u5b9a\u8c14\u65b9\u7a0b\u89e3\u3002<\/span><\/section>\n

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\u6211\u4eec\u901a\u8fc7\u6700\u5c0f\u5316\u7cfb\u7edf\u7684\u80fd\u91cf\u6765\u62df\u5408 FermiNet\u3002\u8981\u7cbe\u786e\u5730\u505a\u5230\u8fd9\u4e00\u70b9\uff0c\u9700\u8981\u5728\u6240\u6709\u53ef\u80fd\u7684\u7535\u5b50\u6784\u578b\u4e0b\u8bc4\u4f30\u6ce2\u51fd\u6570\uff0c\u56e0\u6b64\u53ea\u80fd\u8fdb\u884c\u8fd1\u4f3c\u8ba1\u7b97\u3002\u6211\u4eec\u968f\u673a\u9009\u62e9\u4e00\u4e9b\u7535\u5b50\u6784\u578b\uff0c\u5c40\u90e8\u8bc4\u4f30\u6bcf\u79cd\u7535\u5b50\u6392\u5217\u4e0b\u7684\u80fd\u91cf\uff0c\u6c47\u603b\u6bcf\u79cd\u6392\u5217\u7684\u8d21\u732e\u5e76\u6700\u5c0f\u5316\u5b83\uff0c\u800c\u4e0d\u662f\u6700\u5c0f\u5316\u771f\u5b9e\u80fd\u91cf\u3002\u8fd9\u88ab\u79f0\u4e3a\u8499\u7279\u5361\u6d1b\u65b9\u6cd5<\/strong><\/span>\uff08Monte Carlo method\uff09<\/span>\uff0c\u56e0\u4e3a\u5b83\u6709\u70b9\u50cf\u8d4c\u5f92\u4e0d\u65ad\u63b7\u9ab0\u5b50\u3002\u867d\u7136\u5b83\u662f\u8fd1\u4f3c\u7684\uff0c\u4f46\u5982\u679c\u6211\u4eec\u9700\u8981\u66f4\u7cbe\u786e\uff0c\u53ef\u4ee5\u518d\u6b21\u63b7\u9ab0\u5b50\u3002<\/span><\/section>\n
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\u7531\u4e8e\u6ce2\u51fd\u6570\u7684\u5e73\u65b9\u7ed9\u51fa\u4e86\u89c2\u5bdf\u5230\u7c92\u5b50\u5728\u4efb\u610f\u4f4d\u7f6e\u6392\u5217\u7684\u6982\u7387\uff0c\u56e0\u6b64\u6700\u65b9\u4fbf\u7684\u505a\u6cd5\u662f\u76f4\u63a5\u4ece\u6ce2\u51fd\u6570\u4e2d\u751f\u6210\u6837\u672c\u2014\u2014\u672c\u8d28\u4e0a\u662f\u5728\u6a21\u62df\u89c2\u5bdf\u7c92\u5b50\u7684\u884c\u4e3a\u3002\u867d\u7136\u5927\u591a\u6570\u795e\u7ecf\u7f51\u7edc\u662f\u4ece\u67d0\u4e9b\u5916\u90e8\u6570\u636e\u4e2d\u8bad\u7ec3\u7684\uff0c\u4f46\u8fd9\u91cc\u7528\u6765\u8bad\u7ec3\u795e\u7ecf\u7f51\u7edc\u7684\u8f93\u5165\u6570\u636e\u662f\u7531\u795e\u7ecf\u7f51\u7edc\u81ea\u8eab\u751f\u6210\u7684\u3002\u8fd9\u610f\u5473\u7740\u9664\u4e86\u7535\u5b50\u7ed5\u539f\u5b50\u6838\u201c\u8df3\u821e\u201d\u7684\u4f4d\u7f6e\u5916\uff0c\u4e0d\u9700\u8981\u5176\u4ed6\u8bad\u7ec3\u6570\u636e\u3002<\/span><\/section>\n

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\u8fd9\u4e00\u57fa\u672c\u601d\u60f3\u88ab\u79f0\u4e3a\u53d8\u5206\u91cf\u5b50\u8499\u7279\u5361\u6d1b\u6cd5<\/strong><\/span>\uff08variational quantum Monte Carlo\uff0c\u7b80\u79f0VMC\uff09<\/span>\uff0c\u81ea60\u5e74\u4ee3\u4ee5\u6765\u4e00\u76f4\u5b58\u5728\uff0c\u901a\u5e38\u88ab\u8ba4\u4e3a\u662f\u4e00\u79cd\u8ba1\u7b97\u7cfb\u7edf\u80fd\u91cf\u7684\u5ec9\u4ef7\u4f46\u4e0d\u592a\u7cbe\u786e\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u7528 FermiNet \u53d6\u4ee3\u57fa\u4e8e\u65af\u83b1\u7279\u884c\u5217\u5f0f\u7684\u7b80\u5355\u6ce2\u51fd\u6570\uff0c\u6211\u4eec\u5728\u6240\u6709\u7814\u7a76\u7684\u7cfb\u7edf\u4e0a\u663e\u8457\u63d0\u9ad8\u4e86\u8fd9\u4e00\u65b9\u6cd5\u7684\u7cbe\u5ea6\u3002<\/span><\/section>\n

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\u4e3a\u4e86\u786e\u4fdd FermiNet \u4ee3\u8868\u4e86\u5f53\u524d\u6280\u672f\u7684\u8fdb\u6b65\uff0c\u6211\u4eec\u9996\u5148\u7814\u7a76\u4e86\u4e00\u4e9b\u7b80\u5355\u4e14\u88ab\u6df1\u5165\u7814\u7a76\u8fc7\u7684\u7cfb\u7edf\uff0c\u6bd4\u5982\u5143\u7d20\u5468\u671f\u8868\u7b2c\u4e00\u5468\u671f\u7684\u539f\u5b50<\/span>\uff08\u4eceH\u5230Ne\uff09<\/span>\u3002\u8fd9\u4e9b\u90fd\u662f\u5c0f\u578b\u7cfb\u7edf\u2014\u2014\u7535\u5b50\u6570\u91cf\u5c11\u4e8e10\u2014\u2014\u8db3\u591f\u7b80\u5355\uff0c\u53ef\u4ee5\u7528\u6700\u7cbe\u786e<\/span>\uff08\u4f46\u89c4\u6a21\u5448\u6307\u6570\u589e\u957f\uff09<\/span>\u7684\u65b9\u6cd5\u6765\u5904\u7406\u3002<\/span><\/section>\n

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FermiNet \u7684\u8868\u73b0\u8fdc\u8fdc\u8d85\u8fc7\u4e86\u76f8\u5bf9\u7684 VMC \u8ba1\u7b97\u2014\u2014\u901a\u5e38\u80fd\u5c06\u76f8\u5bf9\u4e8e\u6307\u6570\u6269\u5c55\u8ba1\u7b97\u7684\u8bef\u5dee\u51cf\u5c11\u4e00\u534a\u751a\u81f3\u66f4\u591a\u3002\u5728\u8f83\u5927\u7684\u7cfb\u7edf\u4e2d\uff0c\u6307\u6570\u6269\u5c55\u65b9\u6cd5\u53d8\u5f97\u96be\u4ee5\u5904\u7406\uff0c\u56e0\u6b64\u6211\u4eec\u6539\u7528\u8026\u5408\u7c07\u65b9\u6cd5<\/strong><\/span>\uff08coupled cluster method\uff09<\/span>\u4f5c\u4e3a\u57fa\u51c6\u3002\u8be5\u65b9\u6cd5\u5728\u5206\u5b50\u5904\u4e8e\u7a33\u5b9a\u6784\u578b\u65f6\u6548\u679c\u5f88\u597d\uff0c\u4f46\u5728\u952e\u88ab\u62c9\u4f38\u6216\u65ad\u88c2\u65f6\u8868\u73b0\u4e0d\u4f73\uff0c\u800c\u8fd9\u5bf9\u7406\u89e3\u5316\u5b66\u53cd\u5e94\u81f3\u5173\u91cd\u8981\u3002\u867d\u7136\u5176\u6269\u5c55\u65b9\u5f0f\u6bd4\u6307\u6570\u6269\u5c55\u597d\u5f97\u591a\uff0c\u4f46\u6211\u4eec\u4f7f\u7528\u7684\u7279\u5b9a\u8026\u5408\u7c07\u65b9\u6cd5\u7684\u89c4\u6a21\u4f9d\u7136\u968f\u7740\u7535\u5b50\u6570\u91cf\u7684\u4e03\u6b21\u65b9\u589e\u957f\uff0c\u56e0\u6b64\u5b83\u53ea\u80fd\u7528\u4e8e\u4e2d\u7b49\u5c3a\u5bf8\u7684\u5206\u5b50\u3002<\/span><\/section>\n

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\u6211\u4eec\u5c06 FermiNet \u5e94\u7528\u4e8e\u9010\u6e10\u589e\u5927\u7684\u5206\u5b50\uff0c\u9996\u5148\u4ece\u6c22\u5316\u9502\u5f00\u59cb\uff0c\u9010\u6b65\u7814\u7a76\u5230\u53cc\u73af\u4e01\u70f7\uff0c\u8fd9\u662f\u6211\u4eec\u7814\u7a76\u7684\u6700\u5927\u7cfb\u7edf\uff0c\u5305\u542b30\u4e2a\u7535\u5b50\u3002\u5728\u6700\u5c0f\u7684\u5206\u5b50\u4e2d\uff0cFermiNet \u6355\u83b7\u4e86\u8026\u5408\u7c07\u80fd\u91cf\u4e0e\u5355\u4e00\u65af\u83b1\u7279\u884c\u5217\u5f0f\u80fd\u91cf\u4e4b\u95f4\u60ca\u4eba\u7684 99.8% \u5dee\u5f02\u3002\u5728\u53cc\u73af\u4e01\u70f7\u4e2d\uff0cFermiNet \u4ecd\u6355\u83b7\u4e86 97% \u6216\u66f4\u591a\u7684\u5173\u8054\u80fd\u91cf\uff0c\u5bf9\u4e8e\u8fd9\u6837\u4e00\u79cd\u7b80\u5355\u7684\u65b9\u6cd5\u6765\u8bf4\uff0c\u8fd9\u662f\u4e00\u4e2a\u5de8\u5927\u7684\u6210\u5c31\u3002<\/span><\/section>\n

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\u867d\u7136\u8026\u5408\u7c07\u65b9\u6cd5\u5728\u7a33\u5b9a\u5206\u5b50\u4e2d\u8868\u73b0\u826f\u597d\uff0c\u4f46\u8ba1\u7b97\u5316\u5b66\u7684\u771f\u6b63\u524d\u6cbf\u662f\u5728\u7406\u89e3\u5206\u5b50\u7684\u62c9\u4f38\u3001\u626d\u66f2\u548c\u65ad\u88c2\u8fc7\u7a0b\u4e0a\u3002\u5728\u8fd9\u4e9b\u65b9\u9762\uff0c\u8026\u5408\u7c07\u65b9\u6cd5\u5e38\u5e38\u4f1a\u9047\u5230\u56f0\u96be\uff0c\u56e0\u6b64\u6211\u4eec\u5fc5\u987b\u4e0e\u5c3d\u53ef\u80fd\u591a\u7684\u57fa\u51c6\u8fdb\u884c\u6bd4\u8f83\uff0c\u4ee5\u786e\u4fdd\u5f97\u5230\u4e00\u81f4\u7684\u7b54\u6848\u3002<\/span><\/section>\n

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\u6211\u4eec\u7814\u7a76\u4e86\u4e24\u4e2a\u62c9\u4f38\u7cfb\u7edf\u7684\u57fa\u51c6\uff1a\u6c2e\u5206\u5b50<\/span>\uff08N2<\/sub>\uff09<\/span>\u548c\u542b\u670910\u4e2a\u539f\u5b50\u7684\u6c22\u94fe<\/span>\uff08H10<\/sub>\uff09<\/span>\u3002\u6c2e\u5206\u5b50\u7279\u522b\u5177\u6709\u6311\u6218\u6027\uff0c\u56e0\u4e3a\u6bcf\u4e2a\u6c2e\u539f\u5b50\u8d21\u732e\u4e09\u4e2a\u7535\u5b50\u3002\u800c\u6c22\u94fe\u5219\u5bf9\u7406\u89e3\u7535\u5b50\u5728\u6750\u6599\u4e2d\u7684\u884c\u4e3a\u5f88\u6709\u610f\u4e49\uff0c\u6bd4\u5982\u9884\u6d4b\u67d0\u79cd\u6750\u6599\u662f\u5426\u4f1a\u5bfc\u7535\u3002<\/span><\/section>\n

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\u5728\u8fd9\u4e24\u4e2a\u7cfb\u7edf\u4e2d\uff0c\u8026\u5408\u7c07\u65b9\u6cd5\u5728\u5e73\u8861\u72b6\u6001\u4e0b\u8868\u73b0\u826f\u597d\uff0c\u4f46\u5728\u952e\u88ab\u62c9\u4f38\u65f6\u51fa\u73b0\u4e86\u95ee\u9898\u3002\u4f20\u7edf\u7684 VMC \u8ba1\u7b97\u6574\u4f53\u8868\u73b0\u4e0d\u4f73\uff0c\u4f46\u65e0\u8bba\u952e\u957f\u5982\u4f55\u53d8\u5316\uff0cFermiNet \u90fd\u662f\u8c03\u67e5\u7684\u6700\u4f73\u65b9\u6cd5\u4e4b\u4e00\u3002<\/span><\/section>\n

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2024\u5e748\u6708\uff0c\u6211\u4eec\u5728\u300a\u79d1\u5b66\u300b\u6742\u5fd7\u4e0a\u53d1\u8868\u4e86\u8fd9\u9879\u5de5\u4f5c\u7684\u4e0b\u4e00\u9636\u6bb5\u6210\u679c\u3002\u6211\u4eec\u7684\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u89e3\u51b3\u8ba1\u7b97\u91cf\u5b50\u5316\u5b66\u4e2d\u6700\u56f0\u96be\u6311\u6218\u4e4b\u4e00\u7684\u65b9\u6848\uff1a\u7406\u89e3\u5206\u5b50\u5728\u53d7\u5230\u523a\u6fc0\u65f6\u5982\u4f55\u4ece\u57fa\u6001\u8f6c\u53d8\u5230\u6fc0\u53d1\u6001\uff0c\u6216\u53cd\u8fc7\u6765\u3002<\/span><\/section>\n

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FermiNet \u6700\u521d\u4e13\u6ce8\u4e8e\u5206\u5b50\u7684\u57fa\u6001\uff0c\u5373\u7ed9\u5b9a\u539f\u5b50\u6838\u5468\u56f4\u7684\u7535\u5b50\u6700\u4f4e\u80fd\u91cf\u6784\u578b\u3002\u4f46\u5f53\u5206\u5b50\u548c\u6750\u6599\u53d7\u5230\u5927\u91cf\u80fd\u91cf\u7684\u523a\u6fc0\u65f6\uff0c\u4f8b\u5982\u66b4\u9732\u4e8e\u5149\u7167\u6216\u9ad8\u6e29\u4e0b\uff0c\u7535\u5b50\u53ef\u80fd\u4f1a\u8dc3\u8fc1\u5230\u66f4\u9ad8\u80fd\u91cf\u7684\u6784\u578b\u2014\u2014\u5373\u6fc0\u53d1\u6001<\/strong>\u3002<\/span><\/section>\n

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\u6fc0\u53d1\u6001\u5bf9\u7406\u89e3\u7269\u8d28\u5982\u4f55\u4e0e\u5149\u76f8\u4e92\u4f5c\u7528\u81f3\u5173\u91cd\u8981\u3002\u5438\u6536\u548c\u91ca\u653e\u7684\u80fd\u91cf\u7cbe\u786e\u503c\u4e3a\u4e0d\u540c\u7684\u5206\u5b50\u548c\u6750\u6599\u521b\u9020\u4e86\u72ec\u7279\u7684\u201c\u6307\u7eb9\u201d\uff0c\u8fd9\u4f1a\u5f71\u54cd\u4ece\u592a\u9633\u80fd\u7535\u6c60\u677f\u548c LED \u5230\u534a\u5bfc\u4f53\u3001\u5149\u50ac\u5316\u5242\u7b49\u5404\u79cd\u6280\u672f\u7684\u6027\u80fd\u3002\u5b83\u4eec\u8fd8\u5728\u6d89\u53ca\u5149\u7684\u751f\u7269\u8fc7\u7a0b<\/span>\uff08\u5982\u5149\u5408\u4f5c\u7528\u548c\u89c6\u89c9\uff09<\/span>\u4e2d\u53d1\u6325\u5173\u952e\u4f5c\u7528\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u7cbe\u786e\u8ba1\u7b97\u6fc0\u53d1\u6001\u7684\u80fd\u91cf\u6bd4\u8ba1\u7b97\u57fa\u6001\u80fd\u91cf\u8981\u56f0\u96be\u5f97\u591a\u3002\u5373\u4f7f\u662f\u57fa\u6001\u5316\u5b66\u4e2d\u7684\u9ec4\u91d1\u6807\u51c6\u65b9\u6cd5<\/span>\uff08\u5982\u8026\u5408\u7c07\uff09<\/span>\uff0c\u5728\u6fc0\u53d1\u6001\u7684\u8ba1\u7b97\u4e2d\u4e5f\u4f1a\u51fa\u73b0\u51e0\u5341\u500d\u7684\u8bef\u5dee\u3002\u5c3d\u7ba1\u6211\u4eec\u5e0c\u671b\u5c06 FermiNet \u7684\u5de5\u4f5c\u6269\u5c55\u5230\u6fc0\u53d1\u6001\uff0c\u4f46\u73b0\u6709\u65b9\u6cd5\u4e0d\u8db3\u4ee5\u8ba9\u795e\u7ecf\u7f51\u7edc\u4e0e\u6700\u5148\u8fdb\u7684\u65b9\u6cd5\u7ade\u4e89\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u6211\u4eec\u5f00\u53d1\u4e86\u4e00\u79cd\u8ba1\u7b97\u6fc0\u53d1\u6001\u7684\u65b0\u65b9\u6cd5\uff0c\u6bd4\u4ee5\u5f80\u7684\u65b9\u6cd5\u66f4\u7a33\u5065\u548c\u901a\u7528\u3002\u8be5\u65b9\u6cd5\u53ef\u4ee5\u5e94\u7528\u4e8e\u4efb\u4f55\u7c7b\u578b\u7684\u6570\u5b66\u6a21\u578b\uff0c\u5305\u62ec FermiNet \u548c\u5176\u4ed6\u795e\u7ecf\u7f51\u7edc\u3002\u5b83\u7684\u5de5\u4f5c\u539f\u7406\u662f\u901a\u8fc7\u5728\u4e00\u4e2a\u6269\u5c55\u7684\u7cfb\u7edf\u4e2d\u5f15\u5165\u989d\u5916\u7684\u7c92\u5b50\u6765\u627e\u5230\u57fa\u6001\uff0c\u4ece\u800c\u53ef\u4ee5\u5bf9\u73b0\u6709\u7684\u4f18\u5316\u7b97\u6cd5\u8fdb\u884c\u8f83\u5c11\u7684\u4fee\u6539\u540e\u4f7f\u7528\u3002<\/span><\/section>\n

<\/span><\/section>\n
\u6211\u4eec\u5728\u5e7f\u6cdb\u7684\u57fa\u51c6\u6d4b\u8bd5\u4e2d\u9a8c\u8bc1\u4e86\u8fd9\u9879\u5de5\u4f5c\uff0c\u5e76\u83b7\u5f97\u4e86\u975e\u5e38\u6709\u524d\u666f\u7684\u7ed3\u679c\u3002\u5728\u4e00\u79cd\u5c0f\u800c\u590d\u6742\u7684\u5206\u5b50\u2014\u2014\u78b3\u4e8c\u805a\u4f53<\/span>\uff08carbon dimer\uff09<\/span>\u4e2d\uff0c\u8fbe\u5230\u4e86\u5e73\u5747\u7edd\u5bf9\u8bef\u5dee<\/span>\uff08MAE\uff09<\/span>\u4e3a 4 meV \u7684\u7ed3\u679c\uff0c\u6bd4\u4e4b\u524d\u7684\u9ec4\u91d1\u6807\u51c6\u65b9\u6cd5 20 meV \u66f4\u63a5\u8fd1\u5b9e\u9a8c\u7ed3\u679c\u3002\u6211\u4eec\u8fd8\u5728\u8ba1\u7b97\u5316\u5b66\u4e2d\u4e00\u4e9b\u6700\u5177\u6311\u6218\u6027\u7684\u7cfb\u7edf\u4e2d\u6d4b\u8bd5\u4e86\u8be5\u65b9\u6cd5\uff0c\u8fd9\u4e9b\u7cfb\u7edf\u4e2d\u6709\u4e24\u4e2a\u7535\u5b50\u540c\u65f6\u88ab\u6fc0\u53d1\uff0c\u7ed3\u679c\u53d1\u73b0\u8bef\u5dee\u5728 0.1 eV \u8303\u56f4\u5185\uff0c\u8fd9\u4e0e\u8fc4\u4eca\u4e3a\u6b62\u6700\u590d\u6742\u7684\u8ba1\u7b97\u76f8\u5339\u914d\u3002<\/span><\/section>\n

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\u6211\u4eec\u5c06\u6700\u65b0\u7684\u5de5\u4f5c\u5f00\u6e90\uff0c\u5e76\u5e0c\u671b\u7814\u7a76\u754c\u80fd\u57fa\u4e8e\u6211\u4eec\u7684\u65b9\u6cd5\uff0c\u63a2\u7d22\u7269\u8d28\u4e0e\u5149\u76f8\u4e92\u4f5c\u7528\u7684\u65b0\u5947\u65b9\u5f0f\u3002<\/span><\/section>\n

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\u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/deepmind.google\/discover\/blog\/ferminet-quantum-physics-and-chemistry-from-first-principles\/<\/span><\/section>\n<\/section>\n<\/blockquote>\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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<\/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<\/span>\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<\/span>\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
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\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<\/span><\/span>\u8bfb\u4e66\u4f1a\u5df2\u5b8c\u7ed3\uff0c\u73b0\u5728\u62a5\u540d\u53ef\u52a0\u5165\u793e\u7fa4\u5e76\u89e3\u9501<\/span>\u56de\u653e<\/span>\u89c6\u9891\u6743\u9650\u3002<\/span><\/span><\/span><\/section>\n
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\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


<\/p>\n

\u63a8\u8350\u9605\u8bfb<\/span><\/strong><\/strong><\/strong>
<\/section>\n
1. <\/strong>14\u4e2a\u673a\u678463\u4f4d\u5b66\u8005\u5408\u4f5c AI for Science \u91cd\u78c5\u7efc\u8ff0\uff1a\u7528\u4e8e\u91cf\u5b50\u3001\u539f\u5b50\u548c\u8fde\u7eed\u4f53\u7cfb\u79d1\u5b66\u7684\u4eba\u5de5\u667a\u80fd<\/a><\/strong><\/span><\/section>\n
2. <\/strong>\u5982\u4f55\u53d1\u73b0 AI+Science \u4e2d\u7684\u4e0b\u4e00\u4e2a AlphaFold \u548c ChatGPT\uff1f<\/a><\/strong><\/span><\/section>\n
3. <\/strong>AI\u70bc\u91d1\u672f\u9769\u65b0\u5316\u5b66\uff1aMIT\u5b66\u8005\u4f7f\u7528\u751f\u6210\u5f0fAI\uff0c\u516d\u79d2\u751f\u6210\u65b0\u5316\u5b66\u53cd\u5e94<\/a><\/strong><\/span><\/section>\n
4. <\/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
<\/strong>5.<\/strong> \u9f99\u5e74\u5927\u8fd0\u8d77\uff0c\u5b66\u4e60\u6b63\u5f53\u65f6\uff01\u89e3\u9501\u96c6\u667a\u5168\u7ad9\u5185\u5bb9\uff0c\u5f00\u542f\u65b0\u5e74\u5b66\u4e60\u8ba1\u5212<\/a><\/strong><\/strong><\/strong><\/strong><\/span><\/strong><\/strong><\/section>\n

6. <\/strong>\u52a0\u5165\u96c6\u667a\uff0c\u4e00\u8d77\u590d\u6742\uff01<\/strong><\/span><\/a><\/p>\n


<\/p>\n


<\/p>\n

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

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

\u5bfc\u8bed \u5f53\u5206\u5b50\u548c\u6750\u6599\u53d7\u5230\u5927\u91cf\u80fd\u91cf\u7684\u523a\u6fc0\u65f6\uff0c\u7535\u5b50\u53ef\u80fd\u4f1a\u8dc3\u8fc1\u5230\u66f4\u9ad8\u80fd\u91cf\u7684\u6fc0\u53d1\u6001\u3002\u6fc0\u53d1\u6001\u5bf9\u7406\u89e3\u7269\u8d28\u5982\u4f55\u4e0e\u5149\u76f8\u4e92\u4f5c\u7528\u81f3\u5173\u91cd\u8981\u3002\u5728\u6b64\u524d\u7684\u7814\u7a76\u4e2d\uff0cDeepMmind \u56e2\u961f\u5f00\u53d1\u4e86\u795e\u7ecf\u7f51\u7edc\u67b6\u6784 FermiNet\uff0c\u5229\u7528\u6df1\u5ea6\u5b66\u4e60\u4ece\u7b2c\u4e00\u6027\u539f\u7406\u8ba1\u7b97\u539f\u5b50\u548c\u5206\u5b50\u7684\u80fd\u91cf\u3002\u8fd1\u65e5\uff0c\u7814\u7a76\u56e2\u961f\u5c06\u8fd9\u9879\u5de5\u4f5c\u62d3\u5c55\u5230\u6fc0\u53d1\u6001\u7684\u8ba1\u7b97\u4e2d\uff0c\u5728 Scien…<\/p>\n","protected":false},"author":0,"featured_media":52848,"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\/52856"}],"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=52856"}],"version-history":[{"count":0,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/posts\/52856\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=\/wp\/v2\/media\/52848"}],"wp:attachment":[{"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=52856"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=52856"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=52856"},{"taxonomy":"special","embeddable":true,"href":"https:\/\/swarma.org\/index.php?rest_route=%2Fwp%2Fv2%2Fspecial&post=52856"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}