{"id":220661,"date":"2021-04-17T06:57:19","date_gmt":"2021-04-16T22:57:19","guid":{"rendered":"\/\/m.iemloyee.com\/?p=220661"},"modified":"2021-04-16T19:57:34","modified_gmt":"2021-04-16T11:57:34","slug":"%e5%8e%a6%e5%a4%a7%e6%b1%aa%e9%aa%8b%e5%91%a8%e8%be%be-jacs%ef%bc%9a%e5%88%a9%e7%94%a8%e6%9c%ba%e5%99%a8%e5%ad%a6%e4%b9%a0%e5%8f%91%e7%8e%b0%e5%92%8c%e4%bc%98%e5%8c%96cu%e5%82%ac%e5%8c%96%e5%89%82","status":"publish","type":"post","link":"\/\/m.iemloyee.com\/?p=220661","title":{"rendered":"\u53a6\u5927\u6c6a\u9a8b&\u5468\u8fbe JACS\uff1a\u5229\u7528\u673a\u5668\u5b66\u4e60\u53d1\u73b0\u548c\u4f18\u5316Cu\u50ac\u5316\u5242\u6dfb\u52a0\u5242\uff0c\u52a9\u529b\u9ad8\u6548CO2\u8fd8\u539f"},"content":{"rendered":"

\u3010\u80cc\u666f\u4ecb\u7ecd\u3011<\/strong><\/p>\n

\u50ac\u5316\u5242\u5bf9\u4e8e\u51e0\u79cd\u5316\u5b66\u8f6c\u5316\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002\u4f46\u662f\u7531\u4e8e\u50ac\u5316\u8fc7\u7a0b\u7684\u590d\u6742\uff0c\u5bfb\u627e\u7528\u4e8e\u76ee\u6807\u53cd\u5e94\u7684\u65b0\u50ac\u5316\u5242\u4ecd\u7136\u5177\u6709\u6311\u6218\u6027\u3002\u673a\u5668\u5b66\u4e60\uff08Machine Learning, ML\uff09\u662f\u4e00\u95e8\u591a\u9886\u57df\u4ea4\u53c9\u5b66\u79d1\uff0c\u6d89\u53ca\u6982\u7387\u8bba\u3001\u7edf\u8ba1\u5b66\u3001\u903c\u8fd1\u8bba\u3001\u51f8\u5206\u6790\u3001\u7b97\u6cd5\u590d\u6742\u5ea6\u7406\u8bba\u7b49\u591a\u95e8\u5b66\u79d1\u3002\u56e0\u6b64\uff0c\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u6709\u53ef\u80fd\u901a\u8fc7\u6709\u6548\u7684\u6570\u636e\u5206\u6790\u6765\u52a0\u901f\u50ac\u5316\u5242\u7684\u5f00\u53d1\u3002\u6700\u8fd1\uff0c\u673a\u5668\u5b66\u4e60\u5df2\u4e0e\u7845\u5316\u5b66\u6750\u6599\u7b5b\u9009\u4e2d\u7684\u91cf\u5b50\u5316\u5b66\u8ba1\u7b97\u7ed3\u5408\u5728\u4e00\u8d77\u3002\u7136\u800c\uff0c\u4f7f\u7528ML\u5206\u6790\u5b9e\u9a8c\u6570\u636e\u6765\u53d1\u73b0\u65b0\u50ac\u5316\u5242\u7684\u5b9e\u4f8b\u4ecd\u7136\u5f88\u6709\u9650\u3002\u4f17\u6240\u5468\u77e5\uff0cCu\u50ac\u5316\u5242\u50ac\u5316\u7684CO2<\/sub>RR\uff0c\u53ef\u83b7\u5f97\u4e00\u6c27\u5316\u78b3\uff08CO\uff09\u3001\u7532\u9178\uff08HCOOH\uff09\u3001\u7532\u70f7\uff08CH4<\/sub>\uff09\u3001\u7532\u9187\uff08CH3<\/sub>OH\uff09\u3001\u4e59\u70ef\uff08C2<\/sub>H4<\/sub>\uff09\u3001\u4e59\u70f7\uff08C2<\/sub>H6<\/sub>\uff09\u3001\u4e59\u9187\uff08C2<\/sub>H5<\/sub>OH\uff09\u3001\u4e19\u9187\uff08C3<\/sub>H7<\/sub>OH\uff09\u7b49\u4e00\u7cfb\u5217\u4ea7\u54c1\u3002\u5176\u4e2d\uff0cCu\u50ac\u5316\u5242\u5f62\u6001\u548c\u8868\u9762\u7ed3\u6784\u7684\u7ec6\u5fae\u53d8\u5316\u5bfc\u81f4CO2<\/sub>RR\u9009\u62e9\u6027\u7684\u663e\u8457\u53d8\u5316\uff0c\u53ef\u80fd\u662f\u5728\u50ac\u5316\u5242\u5236\u5907\u4e2d\u52a0\u5165\u6dfb\u52a0\u5242\u8fdb\u884c\u5fae\u8c03\uff0c\u800c\u76ee\u524d\u5c1a\u7f3a\u4e4f\u660e\u786e\u7684\u7ed3\u6784-\u6027\u80fd\u5173\u7cfb\u3002<\/p>\n

\u3010\u6210\u679c\u7b80\u4ecb\u3011<\/strong><\/p>\n

\u8fd1\u65e5\uff0c\u53a6\u95e8\u5927\u5b66\u6c6a\u9a8b\u6559\u6388\u548c\u5468\u8fbe\u526f\u6559\u6388\uff08\u5171\u540c\u901a\u8baf\u4f5c\u8005\uff09\u7b49\u4eba<\/strong>\u62a5\u9053\u4e86\u5728\u5236\u5907\u7528\u4e8e\u7535\u5316\u5b66CO2<\/sub>\u8fd8\u539f\uff08CO2<\/sub>RR\uff09\u7684\u94dc\uff08Cu\uff09\u50ac\u5316\u5242\u8fc7\u7a0b\u4e2d\uff0c\u5229\u7528ML\u53d1\u73b0\u548c\u4f18\u5316\u6dfb\u52a0\u5242\u7684\u8fc7\u7a0b\u3002\u8be5\u8fc7\u7a0b\u5305\u62ec\u4e09\u4e2a\u8fed\u4ee3\u5faa\u73af\uff1a\u201c\u5b9e\u9a8c\u6d4b\u8bd5\u2014ML\u5206\u6790\u2014\u9884\u6d4b\u548c\u91cd\u65b0\u8bbe\u8ba1\u201d\u3002\u5176\u4e2d\uff0c\u7528\u4e8eCO2<\/sub>RR\u7684Cu\u50ac\u5316\u5242\u53ef\u5f97\u5230\u5305\u62ecC1<\/sub>\uff08CO\u3001HCOOH\u3001CH4<\/sub>\u3001CH3<\/sub>OH\uff09\u548cC2+<\/sub>\uff08C2<\/sub>H4<\/sub>\u3001C2<\/sub>H6<\/sub>\u3001C2<\/sub>H5<\/sub>OH\u3001C3<\/sub>H7<\/sub>OH\uff09\u7b49\u4e00\u7cfb\u5217\u4ea7\u7269\u3002\u4f5c\u8005\u4ee5\u94dc\u76d0\u4e3a\u539f\u6599\uff0c\u5229\u7528\u7535\u5316\u5b66\u6c89\u79ef\u6cd5\u5236\u5907\u94dc\u50ac\u5316\u5242\uff0c\u5e76\u4e14\u52a0\u5165\u4e0d\u540c\u7684\u91d1\u5c5e\u76d0\u548c\u6709\u673a\u5206\u5b50\u4f5c\u4e3a\u6dfb\u52a0\u5242\u3002\u7ecf\u8fc7\u4e09\u6b21\u53cd\u590d\u7684\u5b9e\u9a8c\u6d4b\u8bd5\u3001ML\u5206\u6790\u3001\u9884\u6d4b\u548c\u91cd\u65b0\u8bbe\u8ba1\uff0c\u786e\u5b9a\u4e86\u9521\uff08Sn\uff09\u76d0\u662f\u83b7\u5f97CO\u548cHCOOH\u7684\u91cd\u8981\u6dfb\u52a0\u5242\uff0c\u8102\u80aa\u9187\u662f\u4fc3\u8fdbC2+<\/sub>\u751f\u6210\u7684\u91cd\u8981\u6dfb\u52a0\u5242\u3002\u901a\u8fc7\u5bf9\u4e0d\u540c\u6dfb\u52a0\u5242\u5236\u5907\u50ac\u5316\u5242\u7684\u8fdb\u4e00\u6b65\u8868\u5f81\u8868\u660e\uff0c\u8102\u80aa\u9187\u53ef\u80fd\u5728\u7535\u6c89\u79ef\u8fc7\u7a0b\u4e2d\u4fc3\u8fdbCu2O\u7acb\u65b9\u4f53\u7684\u5f62\u6210\u3002\u5728\u5b9e\u9a8c\u6761\u4ef6\u4e0b\uff0cCu2<\/sub>O\u7acb\u65b9\u4f53\u88ab\u8fd8\u539f\u4e3a\u91d1\u5c5eCu\uff0c\u5bf9C2+<\/sub>\u4ea7\u7269\u5177\u6709\u9ad8\u9009\u62e9\u6027\uff0c\u4e0e\u6587\u732e\u62a5\u9053\u7684\u6c27\u5316\u7269\u884d\u751f\u94dc\uff08OD-Cu\uff09\u7684\u6027\u80fd\u4e00\u81f4\u3002\u7ecf\u8fc7\u6570\u6b21ML\u5faa\u73af\u540e\uff0c\u4f5c\u8005\u83b7\u5f97\u4e86\u5bf9CO\u3001HCOOH\u548cC2+<\/sub>\u4ea7\u7269\u5177\u6709\u9009\u62e9\u6027\u7684\u50ac\u5316\u5242\u3002\u8be5\u50ac\u5316\u5242\u53d1\u73b0\u8fc7\u7a0b\u51f8\u663e\u4e86ML\u901a\u8fc7\u4ece\u6709\u9650\u6570\u91cf\u7684\u5b9e\u9a8c\u6570\u636e\u4e2d\u6709\u6548\u63d0\u53d6\u4fe1\u606f\u6765\u52a0\u901f\u6750\u6599\u5f00\u53d1\u7684\u6f5c\u529b\u3002\u7814\u7a76\u6210\u679c\u4ee5\u9898\u4e3a\u201cMachine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2<\/sub> Reduction\u201d<\/strong>\u53d1\u5e03\u5728\u56fd\u9645\u8457\u540d\u671f\u520aJACS<\/strong>\u4e0a\u3002<\/p>\n

\"\"<\/p>\n

\u3010\u56fe\u6587\u89e3\u8bfb\u3011<\/strong><\/p>\n

\u56fe\u4e00\u3001\u521d\u59cb\u6570\u636e\u6536\u96c6<\/strong>
\n \"\"\uff08a\uff09\u901a\u8fc7\u7535\u5316\u5b66\u6c89\u79ef\u5236\u5907Cu\u7535\u50ac\u5316\u5242\uff0c\u7136\u540e\u8bc4\u4ef7\u50ac\u5316\u6027\u80fd\uff1b<\/p>\n

\uff08b\uff09\u57fa\u4e8e\u201c\u5b9e\u9a8c\u6d4b\u8bd5\u2014ML\u5206\u6790\u2014\u9884\u6d4b\u548c\u91cd\u65b0\u8bbe\u8ba1\u201d\u4e09\u4e2a\u8fed\u4ee3\u5faa\u73af\u7684\u52a0\u901f\u53d1\u73b0\u5b66\u4e60\u5faa\u73af\uff0c\u4ee5\u6307\u5bfc\u5bfb\u627e\u9ad8\u6027\u80fd\u7684CO2<\/sub>RR\u50ac\u5316\u5242\u3002<\/p>\n

\u56fe\u4e8c\u3001\u7b2c\u4e00\u8f6e\u673a\u5668\u5b66\u4e60<\/strong>
\n \"\"\uff08a-b\uff09FE-CO\u548cFE-C2+<\/sub>\u5728\u7b2c\u4e00\u8f6e\u673a\u5668\u5b66\u4e60\u4e2d\u901a\u8fc7boost\u51b3\u7b56\u6811\u56de\u5f52\u5206\u6790\u83b7\u5f97\u7684\u7279\u5f81\u91cd\u8981\u6027\uff1b<\/p>\n

\uff08c-d\uff09\u5728\u7b2c\u4e8c\u8f6e\u673a\u5668\u5b66\u4e60\u4e4b\u540e\u9009\u62e9\u7684\u9ad8\u6027\u80fd\u50ac\u5316\u5242\uff0c\u4ee5\u53cac\u4e2d\u50ac\u5316\u5242\u7684\u76f8\u5e94\u6dfb\u52a0\u5242\u3002<\/p>\n

\u56fe\u4e09\u3001\u7b2c\u4e8c\u8f6e\u673a\u5668\u5b66\u4e60<\/strong>
\n \"\"\uff08a\uff09\u5c06\u5206\u5b50\u7ed3\u6784\u8f6c\u6362\u4e3aMFF\u8868\u793a\u5f62\u5f0f\uff1b<\/p>\n

\uff08b\uff09\u7b2c\u4e09\u8f6e\u673a\u5668\u5b66\u4e60\uff0c\u4f7f\u7528\u968f\u673a\u4ea4\u96c6\u6811\uff08RIT\uff09\u63d0\u53d6\u57fa\u4e8e\u4ea4\u4e92\u7684\u7279\u5f81\u7ec4\u5408\uff1b<\/p>\n

\uff08c\uff09\u6839\u636eRIT\u7684\u7ed3\u679c\u8bbe\u8ba1\u65b0\u7684\u5206\u5b50\u6dfb\u52a0\u5242\u3002<\/p>\n

\u56fe\u56db\u3001Sn\u63ba\u6742\u548cpH\u503c\u5bf9\u50ac\u5316\u5242\u6027\u80fd\u7684\u5f71\u54cd<\/strong>
\n \"\"\uff08a\uff09FE-HCOOH\/FE-CO\u4f7f\u7528GBDTR\u4f5c\u4e3aSn\/Cu\u6570\u636e\u96c6\u7684\u529f\u80fd\u91cd\u8981\u6027\uff1b<\/p>\n

\uff08b\uff09\u5f53\u5c40\u90e8pH\u589e\u52a0\u65f6\uff0c\u76f8\u540c\u7684\u50ac\u5316\u5242\u8868\u73b0\u51fa\u8f83\u9ad8\u7684FE-HCOOH\/FE-CO\u6bd4\u4f8b\u3002<\/p>\n

\u56fe\u4e94\u3001\u7b2c\u4e09\u8f6e\u673a\u5668\u5b66\u4e60<\/strong>
\n \"\"\uff08a\uff09\u5728\u7b2c\u4e09\u8f6e\u5b66\u4e60\u4e2d\u9884\u6d4b\u8bbe\u8ba1\u50ac\u5316\u5242\u7684FE-C2+<\/sub>\u4ee5\u53ca\u76f8\u5e94\u7684SYBA\u5206\u6570\uff1b<\/p>\n

\uff08b\uff09\u76f8\u5e94\u9884\u6d4b\u50ac\u5316\u5242\u7684\u5b9e\u9a8cFE-C2+<\/sub>\uff08\u5728a\u90e8\u5206\u4e2d\u5708\u51fa\uff09\u3002<\/p>\n

\u56fe\u516d\u3001\u641c\u5bfb\u6dfb\u52a0\u5242\u7684\u529f\u80fd<\/strong>
\n \"\"\uff08a\uff09FE-CO2<\/sub>RR\u3001FE-H2<\/sub>\u548c\u6837\u54c1\u7684XRD\u76f8\u4f4d\u4e4b\u95f4\u7684\u5173\u7cfb\uff1b<\/p>\n

\uff08b\uff09FE-C2+<\/sub>\u4e0e\u6837\u54c1\u5f62\u6001\u4e4b\u95f4\u7684\u5173\u7cfb\uff1b<\/p>\n

\uff08c\uff09\u6ca1\u6709Cu2<\/sub>O\u7acb\u65b9\u4f53\u7684\u6837\u54c1167\u7684SEM\u56fe\u50cf\uff1b<\/p>\n

\uff08d\uff09\u5177\u6709Cu2<\/sub>O\u7acb\u65b9\u4f53\u7684\u6837\u54c1170\u7684SEM\u56fe\u50cf\u3002<\/p>\n

\u3010\u5c0f\u7ed3\u3011<\/strong><\/p>\n

\u7efc\u4e0a\u6240\u8ff0\uff0c\u4f5c\u8005\u901a\u8fc7\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u52a0\u901f\u4e86\u7535\u6c89\u79ef\u6dfb\u52a0\u5242\u7684\u53d1\u73b0\uff0c\u4ee5\u5236\u5907\u7528\u4e8eCO2<\/sub>RR\u7684Cu\u50ac\u5316\u5242\u3002\u4f5c\u8005\u53d1\u73b0\u4ee5\u8102\u80aa\u65cfOH\u57fa\u4e3a\u6dfb\u52a0\u5242\u7684\u5206\u5b50\u53ef\u4ee5\u901a\u8fc7\u63a7\u5236\u50ac\u5316\u5242\u524d\u4f53\u4e2dCu2<\/sub>O\u7acb\u65b9\u4f53\u7684\u5f62\u6210\u6765\u63d0\u9ad8\u6cd5\u62c9\u7b2c\u6548\u7387\uff08FE\uff09\uff0c\u4ee5\u751f\u6210C2+<\/sub>\u4ea7\u7269\u3002\u5728Sn\/Cu\u53cc\u91d1\u5c5e\u4f53\u7cfb\u4e2d\uff0cCu2<\/sub>O\u76f8\u5728CO2<\/sub>RR\u4e2d\u751f\u6210CO\/HCOOH\u4e5f\u5f88\u91cd\u8981\u3002\u76ee\u524d\uff0cML\u8f85\u52a9\u50ac\u5316\u5242\u7684\u5f00\u53d1\u8fd8\u53d7\u5230\u5927\u91cf\u5b9e\u9a8c\u6570\u636e\u7684\u9650\u5236\u3002\u9ad8\u901a\u91cf\u7b5b\u9009\u65b9\u6cd5\u53ef\u4ee5\u4e0eML\u7b56\u7565\u76f8\u7ed3\u5408\uff0c\u4e3a\u50ac\u5316\u5242\u7684\u53d1\u73b0\u5f00\u8f9f\u65b0\u7684\u89c6\u91ce\u3002<\/p>\n

\u6587\u732e\u94fe\u63a5\uff1aMachine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2<\/sub> Reduction<\/strong>. JACS<\/em>, 2021<\/strong>, DOI: 10.1021\/jacs.1c00339.<\/p>\n

\u901a\u8baf\u4f5c\u8005\u7b80\u4ecb<\/strong><\/p>\n

\u6c6a\u9a8b\uff0c\u53a6\u95e8\u5927\u5b66\u5316\u5b66\u5316\u5de5\u5b66\u9662\u6559\u6388<\/strong>\u30022009\u5e74\u6bd5\u4e1a\u4e8e\u5317\u4eac\u5927\u5b66\u5316\u5b66\u4e0e\u5206\u5b50\u5de5\u7a0b\u5b66\u9662\uff0c2013\u5e74\u5728\u7f8e\u56fd\u5317\u5361\u7f57\u83b1\u90a3\u5927\u5b66\u6559\u5802\u5c71\u5206\u6821\u83b7\u5f97\u535a\u58eb\u5b66\u4f4d\u30022013-2015\u5e74\u5728\u829d\u52a0\u54e5\u5927\u5b66\u5f00\u5c55\u535a\u58eb\u540e\u7814\u7a76\u30022015-\u81f3\u4eca\u53a6\u95e8\u5927\u5b66\u6559\u6388\uff0c\u5165\u9009\u56fd\u5bb6\u9ad8\u5c42\u6b21\u4eba\u624d\u8ba1\u5212\u9752\u5e74\u9879\u76ee\uff0c\u95fd\u6c5f\u7279\u8058\u6559\u6388\u3002\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662f\u91d1\u5c5e\u6709\u673a\u5355\u5c42(Metal-Organic Layer=MOL)\u53ca\u4eba\u5de5\u5149\u5408\u4f5c\u7528\u3002\u5728\u5305\u62ecNat. Chem.\u3001Nat. Catal.\u7684\u6742\u5fd7\u4e0a\u53d1\u8868\u8bba\u658780\u4f59\u7bc7\uff0c\u4ed6\u5f158000\u4f59\u6b21\u3002\u6c6a\u9a8b\u6559\u6388\u66fe\u83b7\u7f8e\u56fd\u5316\u5b66\u4f1a\u65e0\u673a\u5316\u5b66\u9752\u5e74\u5316\u5b66\u5bb6\u5956\uff082013\uff09\u3001\u53a6\u95e8\u5e02\u6770\u51fa\u9752\u5e74\uff082019\uff09\u3001\u53a6\u95e8\u5927\u5b66\u8428\u672c\u680b\u5956\u6559\u91d1\uff082020\uff09\u3001\u4e2d\u56fd\u5316\u5b66\u4f1a\u9752\u5e74\u5316\u5b66\u5956(2020)\u7b49\u591a\u9879\u5956\u52b1\u3002<\/p>\n

\u5468\u8fbe\uff0c\u53a6\u95e8\u5927\u5b66\u6570\u5b66\u79d1\u5b66\u5b66\u9662\u526f\u6559\u6388<\/strong>\u30022011\u5e74\u4e8e\u5317\u4eac\u5927\u5b66\u6570\u5b66\u79d1\u5b66\u5b66\u9662\u53d6\u5f97\u6982\u7387\u7edf\u8ba1\u4e13\u4e1a\u535a\u58eb\u5b66\u4f4d\uff1b2011-13\u5e74\u5728\u6e05\u534e\u4fe1\u606f\u56fd\u5bb6\u5b9e\u9a8c\u5ba4\u4ece\u4e8b\u535a\u58eb\u540e\u7814\u7a76\u5de5\u4f5c\u30022018-19\u5e74\u5728\u5fb7\u56fd\u9a6c\u514b\u601d\u666e\u6717\u514b\u4fc3\u8fdb\u4f1a\u8fdb\u5316\u751f\u7269\u5b66\u7814\u7a76\u6240\u8bbf\u95ee\u3002\u957f\u671f\u5173\u6ce8\u6570\u5b66\u3001\u7edf\u8ba1\u5b66\u4e0e\u80bf\u7624\u751f\u7269\u5b66\u3001\u5408\u6210\u5316\u5b66\u7b49\u9886\u57df\u7684\u4ea4\u53c9\u7814\u7a76\uff0c\u5728\u5305\u62ecMatter\uff08Cell\u5b50\u520a\uff09, JACS\uff0cPLOS Computational Biology\uff0cJournal of Theoretical Biology, Physical Review E\uff0cMathematical Biosciences\u7b49\u5b66\u672f\u520a\u7269\u53d1\u8868\u8bba\u658730\u7bc7\u3002\u4e3b\u6301\u56fd\u5bb6\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u4e24\u9879\uff0c\u798f\u5efa\u7701\u81ea\u7136\u79d1\u5b66\u57fa\u91d1\u4e00\u9879\u3002\u76ee\u524d\u517c\u4efb\u53a6\u95e8\u5927\u5b66\u6982\u7387\u7edf\u8ba1\u7cfb\u4e3b\u4efb\u3001\u4e2d\u56fd\u5de5\u4e1a\u4e0e\u5e94\u7528\u6570\u5b66\u4f1a\u6570\u5b66\u751f\u547d\u79d1\u5b66\u4e13\u59d4\u4f1a\u7406\u4e8b\u3001\u5317\u4eac\u8ba1\u7b97\u673a\u5b66\u4f1a\u7406\u4e8b\u3001\u798f\u5efa\u7701\u751f\u7269\u6570\u5b66\u4f1a\u7406\u4e8b\uff1bNature Communications, Physical Review Letters\uff0cPLOS Computational Biology\u7b49\u520a\u7269\u5ba1\u7a3f\u4eba\u3002<\/p>\n

\u6c6a\u9a8b\u548c\u5468\u8fbe\u56e2\u961f\u957f\u671f\u5728\u5316\u5b66\u4e0e\u673a\u5668\u5b66\u4e60\u7684\u4ea4\u53c9\u9886\u57df\u5f00\u5c55\u5408\u4f5c\u7814\u7a76\uff0c\u7ec4\u5efa\u4e86\u201c\u4eba\u5de5\u667a\u80fd+\u5206\u5b50\u5de5\u7a0b\u201d\u7814\u7a76\u65b9\u5411\uff0c\u5e76\u5171\u540c\u6307\u5bfc\u653b\u8bfb\u8be5\u65b9\u5411\u7684\u7814\u7a76\u751f\u3002\u6c6a\u9a8b-\u5468\u8fbe\u56e2\u961f\u66fe\u5229\u7528\u673a\u5668\u5b66\u4e60\u65b9\u6cd5\uff0c\u4f18\u5316\u6570\u636e\u7684\u6536\u96c6\u548c\u5206\u6790\u8fc7\u7a0b\uff0c\u7814\u7a76\u91d1\u5c5e\u6709\u673a\u6846\u67b6\u6750\u6599\u7684\u5408\u6210\uff0c\u63d0\u9ad8\u6750\u6599\u5408\u6210\u7684\u8bbe\u8ba1\u6c34\u5e73\u548c\u6548\u7387\uff0c\u53d6\u5f97\u4e86\u7a81\u7834\uff0c\u4ee5\u201cMachine-Learning-Guided Morphology Engineering of Nanoscale Metal-Organic Frameworks<\/strong>\u201d\u4e3a\u9898\u5728Matter<\/strong>\u6742\u5fd7\u53d1\u8868\u7814\u7a76\u8bba\u6587(Matter<\/em>, 2020<\/strong>, 2(6)<\/em>: 1651-1666).<\/p>\n

\u672c\u6587\u7531CQR\u7f16\u8bd1\u3002<\/p>\n

\u6b22\u8fce\u5927\u5bb6\u5230\u6750\u6599\u4eba\u5ba3\u4f20\u79d1\u6280\u6210\u679c\u5e76\u5bf9\u6587\u732e\u8fdb\u884c\u6df1\u5165\u89e3\u8bfb\uff0c\u6295\u7a3f\u90ae\u7bb1\uff1atougao@cailiaoren.com.<\/p>\n

\u6295\u7a3f\u4ee5\u53ca\u5185\u5bb9\u5408\u4f5c\u53ef\u52a0\u7f16\u8f91\u5fae\u4fe1\uff1acailiaokefu.<\/p>\n","protected":false},"excerpt":{"rendered":"

\u3010\u80cc\u666f\u4ecb\u7ecd\u3011 \u50ac\u5316\u5242\u5bf9\u4e8e\u51e0\u79cd\u5316\u5b66\u8f6c\u5316\u662f\u5fc5\u4e0d\u53ef\u5c11\u7684\u3002\u4f46\u662f\u7531\u4e8e\u50ac\u5316\u8fc7\u7a0b\u7684\u590d\u6742\uff0c\u5bfb\u627e\u7528\u4e8e\u76ee\u6807\u53cd\u5e94\u7684\u65b0\u50ac\u5316\u5242\u4ecd\u7136\u5177\u6709\u6311\u6218\u6027\u3002\u673a\u5668\u5b66\u4e60\uff08Machine Learning,…<\/p>\n","protected":false},"author":7770,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[215],"tags":[],"class_list":["post-220661","post","type-post","status-publish","format-standard","hentry","category-jiedu"],"_links":{"self":[{"href":"\/\/m.iemloyee.com\/index.php?rest_route=\/wp\/v2\/posts\/220661"}],"collection":[{"href":"\/\/m.iemloyee.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"\/\/m.iemloyee.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"\/\/m.iemloyee.com\/index.php?rest_route=\/wp\/v2\/users\/7770"}],"replies":[{"embeddable":true,"href":"\/\/m.iemloyee.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=220661"}],"version-history":[{"count":6,"href":"\/\/m.iemloyee.com\/index.php?rest_route=\/wp\/v2\/posts\/220661\/revisions"}],"predecessor-version":[{"id":220764,"href":"\/\/m.iemloyee.com\/index.php?rest_route=\/wp\/v2\/posts\/220661\/revisions\/220764"}],"wp:attachment":[{"href":"\/\/m.iemloyee.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=220661"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"\/\/m.iemloyee.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=220661"},{"taxonomy":"post_tag","embeddable":true,"href":"\/\/m.iemloyee.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=220661"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}