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\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\u51f8\u5206\u6790\u3001\u7b97\u6cd5\u590d\u6742\u5ea6\u7406\u8bba\u7b49\u591a\u95e8\u5b66\u79d1\u3002\u901a\u8fc7Web of Science\uff08SCI\uff09\u68c0\u7d22\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u7814\u7a76\u65b9\u5411\u7684\u53d1\u6587\u60c5\u51b5\u3002\u622a\u6b622021\u5e745\u67085\u65e5\uff0c\u5982\u56fe1\u6240\u793a\uff0c\u5176\u4e3b\u8981\u7814\u7a76\u65b9\u5411\u662fComputer Science\u9886\u57df\uff0c\u7adf\u7136\u9ad8\u8fbe822189\u7bc7\uff0c\u5176\u4e2d\u5316\u5b66\u548c\u6750\u6599\u79d1\u5b66\u9886\u57df\u53d1\u8868\u7684\u6587\u7ae0\u4e5f\u5206\u522b\u8fbe\u5230\u4e8622175\u7bc7\u548c16048\u7bc7\u3002\u5982\u4eca\uff0cML\u5728\u5316\u5b66\u548c\u6750\u6599\u79d1\u5b66\u9886\u57df\u53d1\u6325\u7740\u8d8a\u6765\u8d8a\u91cd\u8981\u7684\u4f5c\u7528\uff0c\u76f8\u4fe1\u8fd9\u4e2a\u6570\u5b57\u5c06\u4f1a\u9010\u6e10\u589e\u5927\uff01\u56e0\u6b64\uff0c\u672c\u6b21\u9009\u62e9\u4e86\u8fd1\u671f\u5728\u4f18\u8d28\u671f\u520a\u4e0a\u53d1\u8868\u7684\u5173\u4e8eML\u5e94\u7528\u4e8e\u5316\u5b66\u548c\u6750\u6599\u79d1\u5b66\u9886\u57df\u7684\u90e8\u5206\u6210\u679c\uff0c\u4f9b\u5927\u5bb6\u4e86\u89e3\u53ca\u5b66\u4e60!<\/p>\n

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1\u3001J. Am. Chem. Soc.\uff1a<\/b><\/strong>\u673a\u5668\u5b66\u4e60\u548c\u5b9e\u9a8c\u63ed\u793a<\/b><\/strong>PdAg\u50ac\u5316\u5242\u7684\u539f\u4f4d\u8868\u9762\u7ed3\u6784\u53ca\u5176\u5bf9\u4e59\u7094\u534a<\/b><\/strong>\u52a0<\/b><\/strong>\u6c22<\/b><\/strong>\u53cd\u5e94<\/b><\/strong>\u7684\u5f71\u54cd<\/b><\/strong><\/p>\n

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In Situ<\/i><\/em>\u00a0Surface Structures of PdAg Catalyst and Their Influence on Acetylene Semihydrogenation Revealed by Machine Learning and Experiment. J. Am. Chem. Soc.,<\/i><\/em>\u00a02021<\/b><\/strong>, DOI: 10.1021\/jacs.1c02471.<\/p>\n

https:\/\/doi.org\/10.1021\/jacs.1c02471.<\/p>\n

2\u3001J. Am. Chem. Soc.\uff1a<\/b><\/strong>\u673a\u5668\u5b66\u4e60\u53d1\u73b0\u548c\u4f18\u5316<\/b><\/strong>Cu\u50ac\u5316\u5242\u6dfb\u52a0\u5242\uff0c\u52a9\u529b\u9ad8\u6548CO<\/b><\/strong>2<\/b><\/sub><\/strong>\u8fd8\u539f<\/b><\/strong><\/p>\n

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Machine-Learning-Guided Discovery and Optimization of Additives in Preparing Cu Catalysts for CO2<\/sub>\u00a0Reduction. J. Am. Chem. Soc.,<\/i><\/em>\u00a02021<\/b><\/strong>, DOI: 10.1021\/jacs.1c00339.<\/p>\n

https:\/\/doi.org\/10.1021\/jacs.1c00339.<\/p>\n

3\u3001Acc. Chem. Res.\uff1a<\/b><\/strong>\u673a\u5668\u5b66\u4e60\u52a9\u529b\u5316\u5b66\u5408\u6210\u7684\u8d85\u9ad8\u901a\u91cf\u5b9e\u9a8c<\/b><\/strong><\/p>\n

\"\"<\/p>\n

\u901a\u8fc7\u8ba1\u7b97\u673a\u89c4\u5212\u5408\u6210\u590d\u6742\u5206\u5b50\u7684\u65b0\u8def\u7ebf\uff0c\u7cbe\u786e\u5730\u9884\u6d4b\u53cd\u5e94\u7ed3\u679c\u548c\u8bbe\u8ba1\u5177\u6709\u590d\u6742\u529f\u80fd\u7684\u5206\u5b50\u53d8\u5f97\u8d8a\u6765\u8d8a\u53ef\u80fd\u3002\u5176\u4e2d\uff0c\u5bf9\u53cd\u5e94\u6570\u636e\u7684\u7edf\u8ba1\u5206\u6790\u81f3\u5173\u91cd\u8981\uff0c\u4f8b\u5982\u673a\u5668\u5b66\u4e60\uff0c\u4f46\u53ef\u7528\u4e8e\u5efa\u7acb\u6a21\u578b\u7684\u53cd\u5e94\u6570\u636e\u5374\u5f88\u5c11\u3002\u540c\u65f6\u6587\u732e\u6570\u636e\u4e25\u91cd\u504f\u5411\u4e8e\u751f\u4ea7\u6027\u53cd\u5e94\uff0c\u5f88\u5c11\u6709\u8d1f\u9762\u53cd\u5e94\u6570\u636e\u88ab\u62a5\u9053\u3002\u9ad8\u901a\u91cf\u5b9e\u9a8c\uff08HTE\uff09\u662f\u4e00\u79cd\u5b9e\u9a8c\u53cd\u5e94\u5f00\u53d1\u5de5\u5177\uff0c\u5176\u4f18\u52bf\u5728\u4e8e\u53cd\u5e94\u662f\u4ee5\u7cfb\u7edf\u7684\u683c\u5f0f\u8fd0\u884c\uff0c\u56e0\u6b64\u6570\u636e\u70b9\u5728\u5185\u90e8\u662f\u4e00\u81f4\u7684\uff0c\u65e0\u8bba\u662f\u5426\u89c2\u5bdf\u5230\u6240\u9700\u4ea7\u7269\uff0c\u90fd\u4f1a\u62a5\u544a\u53cd\u5e94\u6570\u636e\uff0c\u6709\u52a9\u4e8e\u51cf\u5c11\u5047\u9633\u6027\u6216\u9634\u6027\u6570\u636e\u3002\u57fa\u4e8e\u6b64\uff0c\u7f8e\u56fd\u5bc6\u6b47\u6839\u5927\u5b66<\/b><\/strong>Tim Cernak<\/b><\/strong>\uff08\u901a\u8baf\u4f5c\u8005\uff09\u7b49\u4eba<\/b><\/strong>\u62a5\u9053\u4e86\u4e00\u7bc7\u5173\u4e8e\u5408\u6210\u5316\u5b66\u7684\u5c0f\u578b\u5316\uff0c\u6700\u7ec8\u5b9e\u73b0\u4e86\u8d85\u9ad8\u901a\u91cf\u5b9e\u9a8c\uff08ultraHTE\uff09\u7684\u7efc\u8ff0\u3002\u5176\u4e2d\uff0c\u53cd\u5e94\u8fd0\u884c\u57281 \u03bcL\u6db2\u6ef4\u57281536\u5b54\u5fae\u91cf\u6ef4\u5b9a\u677f\u5185\uff0c\u4ee5\u5c3d\u91cf\u51cf\u5c11\u4f7f\u7528\u8d77\u59cb\u6750\u6599\uff0c\u540c\u65f6\u6700\u5927\u9650\u5ea6\u5730\u8f93\u51fa\u5b9e\u9a8c\u4fe1\u606f\u3002ultraHTE\u57281536\u5b54\u5fae\u91cf\u6ef4\u5b9a\u677f\u4e0a\u7684\u6027\u80fd\u5bfc\u81f4\u4e86\u53ef\u7528\u53cd\u5e94\u6570\u636e\u7684\u75af\u72c2\u589e\u957f\uff0c\u8fd9\u4e9b\u6570\u636e\u88ab\u7528\u4e8e\u8bc6\u522b\u7279\u5b9a\u7684\u5e95\u7269\u50ac\u5316\u5242\u5bf9\uff0c\u4ee5\u5728\u65b0\u4ea4\u53c9\u5076\u8054\u53cd\u5e94\u4e2d\u83b7\u5f97\u6700\u5927\u6548\u7387\u3002ultraHTE\u7684\u7b2c\u4e00\u6b21\u8fed\u4ee3\u96c6\u4e2d\u4e8e\u4e8c\u7532\u4e9a\u781c\uff08DMSO\uff09\u4f5c\u4e3a\u4e00\u79cd\u9ad8\u6cb8\u70b9\u6eb6\u5242\u7684\u4f7f\u7528\uff0c\u5b83\u4e0e\u6700\u5e38\u7528\u4e8e\u8017\u6750\u5b54\u677f\u7684\u5851\u6599\u517c\u5bb9\uff0c\u4ea7\u751f\u4e86\u5747\u76f8\u53cd\u5e94\u6df7\u5408\u7269\uff0c\u975e\u5e38\u9002\u5408\u7528\u4e8e\u7eb3\u7c73\u5242\u91cf\u7684\u6db2\u4f53\u5904\u7406\u673a\u5668\u4eba\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0cDMSO\u4f7f\u4e0d\u540c\u7684\u8bd5\u5242\u6392\u5217\u57281 \u03bcL\u6db2\u6ef4\u4e2d\u3002\u53cd\u5e94\u5728\u5ba4\u6e29\u4e0b\u8fdb\u884c\uff0c\u65e0\u9700\u6405\u62cc\uff0c\u53ef\u4ece0.05 mg\u53cd\u5e94\u5c3a\u5ea6\u653e\u5927\u81f31 g\u89c4\u6a21\u3002\u5de5\u7a0b\u6539\u8fdb\u4f7f\u5f97ultraHTE\u80fd\u591f\u4e0e\u591a\u79cd\u534a\u6325\u53d1\u6027\u6eb6\u5242\u3001\u5149\u50ac\u5316\u3001\u52a0\u70ed\u548c\u58f0\u5b66\u6405\u62cc\u4e00\u8d77\u4f7f\u7528\u3002\u4e8b\u5b9e\u4e0a\uff0c\u5df2\u5f00\u53d1\u51fa\u4e00\u79cd\u7b56\u7565\u5c06ultraHTE\u53cd\u5e94\u6df7\u5408\u7269\u76f4\u63a5\u4f9b\u7ed9\u57fa\u4e8e\u8d28\u8c31\u7684\u4eb2\u548c\u9009\u62e9\u751f\u7269\u6d4b\u5b9a\u3002\u56e0\u6b64\uff0c\u5fae\u514b\u7684\u8d77\u59cb\u6750\u6599\u53ef\u7528\u4e8e\u836f\u7269\u6837\u5206\u5b50\u7684\u5408\u6210\u548c\u76f4\u63a5\u751f\u5316\u6d4b\u8bd5\u3002\u53cd\u5e94\u5728\u60f0\u6027\u6c14\u6c1b\u4e2d\u4ee50.1 M\u7684\u53cd\u5e94\u7269\u6d53\u5ea6\u8fdb\u884c\uff0c\u4f7f\u5f97\u751a\u81f3\u53ef\u4ee5\u4f7f\u7528\u5177\u6709\u6311\u6218\u6027\u7684\u8fc7\u6e21\u91d1\u5c5e\u50ac\u5316\u53cd\u5e94\u3002\u6b64\u5916\uff0c\u4f5c\u8005\u5f00\u53d1\u4e86\u5b9e\u73b0\u5de5\u4f5c\u6d41\u7a0b\u7684\u8f6f\u4ef6\uff0c\u5e76\u4e14\u5f00\u59cb\u4e86\u53cd\u5e94\u7a7a\u95f4\u7684\u6620\u5c04\uff0c\u76f8\u4fe1\u672a\u6765\u6709\u4e00\u4e2a\u7cfb\u7edf\u5316\u5b66\u65b9\u6cd5\u6765\u7814\u7a76\u8f6c\u5316\u3001\u53cd\u5e94\u6761\u4ef6\u3001\u7ed3\u6784\u3001\u6027\u8d28\u548c\u529f\u80fd\u3002<\/p>\n

\u6587\u7ae0\u4fe1\u606f\uff1a<\/p>\n

Ultrahigh-Throughput Experimentation for Information-Rich Chemical Synthesis. Acc. Chem. Res.,<\/i><\/em>\u00a02021<\/b><\/strong>, DOI: 10.1021\/acs.accounts.1c00119.<\/p>\n

https:\/\/doi.org\/10.1021\/acs.accounts.1c00119.<\/p>\n

4\u3001ACS Energy Lett.\uff1a<\/b><\/strong>\u673a\u5668\u5b66\u4e60\u52a9\u529b\u5236\u5907\u9ad8\u8d28\u91cf\u56fa\u4f53\u7535\u89e3\u8d28\u8584\u819c<\/b><\/strong><\/p>\n

\"\"<\/p>\n

\u56fa\u6001\u7535\u89e3\u8d28\uff08SSEs\uff09\u662f\u89e3\u51b3\u6db2\u4f53\u7535\u89e3\u8d28\u6613\u71c3\u6027\u95ee\u9898\u7684\u4e00\u79cd\u5f88\u6709\u524d\u9014\u7684\u5019\u9009\u6750\u6599\u3002\u7136\u800c\uff0c\u901a\u8fc7\u51cf\u8584SSE\u5c42\u548c\u5b9e\u73b0\u53ef\u4f38\u7f29\u7684\u6d82\u5c42\u5de5\u827a\u6765\u63d0\u9ad8\u80fd\u91cf\u5bc6\u5ea6\u4ecd\u7136\u5177\u6709\u6311\u6218\u6027\u3002\u867d\u7136\u4ee5\u5f80\u7684\u7814\u7a76\u90fd\u662f\u9488\u5bf9\u8584\u800c\u67d4\u97e7\u7684SSE\u8584\u819c\uff0c\u4f46\u662f\u4e3b\u8981\u662f\u8003\u8651\u79bb\u5b50\u5bfc\u7535\u6027\u6765\u8bc4\u4ef7\u8584\u819c\u7684\u6027\u80fd\uff0c\u5e76\u4e14\u6ca1\u6709\u7cfb\u7edf\u5730\u7814\u7a76\u5236\u5907\u6761\u4ef6\u5bf9SSE\u8584\u819c\u8d28\u91cf\u7684\u5f71\u54cd\u3002\u57fa\u4e8e\u6b64\uff0c\u7f8e\u56fd\u52a0\u5dde\u5927\u5b66\u5723\u5730\u4e9a\u54e5\u5206\u6821<\/b><\/strong>Zheng Chen<\/b><\/strong>\u548c<\/b><\/strong>Ying Shirley Meng<\/b><\/strong>\u3001\u6cd5\u56fd\u76ae\u5361\u7b2c-\u5112\u52d2<\/b><\/strong>-\u51e1\u5c14\u7eb3\u5927\u5b66Alejandro A. Franco<\/b><\/strong>\uff08\u5171\u540c\u901a\u8baf\u4f5c\u8005\uff09\u7b49\u4eba<\/b><\/strong>\u62a5\u9053\u4e86\u4ed6\u4eec\u5229\u7528\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u5bf9SSE\u8584\u819c\u7684\u5747\u5300\u6027\u548c\u79bb\u5b50\u5bfc\u7535\u6027\u8fdb\u884c\u4e86\u8bc4\u4f30\u3002\u4f5c\u8005\u91c7\u7528\u4e3b\u6210\u5206\u5206\u6790\u3001K-\u5747\u503c\u805a\u7c7b\u548c\u652f\u6301\u5411\u91cf\u673a\u4e09\u79cd\u7b97\u6cd5\uff0c\u5bf9\u751f\u4ea7\u6761\u4ef6\u4e0e\u8584\u819c\u6027\u80fd\u4e4b\u95f4\u7684\u76f8\u4e92\u4f9d\u8d56\u5173\u7cfb\u8fdb\u884c\u4e86\u5206\u6790\u3002\u5728ML\u6307\u5bfc\u4e0b\uff0c\u5229\u752840 \u03bcm\u539a\u5ea6\u7684\u5177\u6709\u79bb\u5b50\u7535\u5bfc\u7387\u9ad8\u3001\u5747\u5300\u6027\u597d\u7684SSE\u819c\u6784\u5efa\u4e86LiNi0.8<\/sub>Co0.1<\/sub>Mn0.1<\/sub>O2<\/sub>\u00a0|| Li6<\/sub>PS5<\/sub>Cl || LiIn\u7535\u6c60\uff0c\u5e76\u4e14\u8be5\u7535\u6c60\u53ef\u4ee5\u8fdb\u884c100\u6b21\u5faa\u73af\u3002\u603b\u4e4b\uff0c\u8be5\u7814\u7a76\u63d0\u51fa\u4e86\u4e00\u79cd\u6709\u6548\u7684ML\u8f85\u52a9\u65b9\u6cd5\u6765\u4f18\u5316\u9ad8\u8d28\u91cfSSE\u8584\u819c\u7684\u53ef\u6269\u5c55\u751f\u4ea7\u3002<\/p>\n

\u53c2\u8003\u6587\u732e\uff1a<\/p>\n

Fabrication of High-Quality Thin Solid-State Electrolyte Films Assisted by Machine Learning. ACS Energy Lett.<\/i><\/em>, 2021<\/b><\/strong>, DOI: 10.1021\/acsenergylett.1c00332.<\/p>\n

https:\/\/doi.org\/10.1021\/acsenergylett.1c00332.<\/p>\n

5\u3001Nat. Commun.\uff1a<\/b><\/strong>\u673a\u5668\u5b66\u4e60\u52a9\u529b\u5f00\u53d1\u6709\u673a\u534a\u5bfc\u4f53<\/b><\/strong><\/p>\n

\"\"<\/p>\n

\u6709\u673a\u5206\u5b50\u7684\u591a\u529f\u80fd\u6027\u4e3a\u6709\u673a\u534a\u5bfc\u4f53\uff08OSCs\uff09\u7684\u7535\u5b50\u5e94\u7528\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u8bbe\u8ba1\u7a7a\u95f4\u3002\u4e3a\u6750\u6599\u53d1\u73b0\u63d0\u4f9b\u4e86\u5e7f\u9614\u7684\u524d\u666f\uff0c\u8fd9\u4e2a\u5de8\u5927\u7684\u8bbe\u8ba1\u7a7a\u95f4\u4e5f\u51b3\u5b9a\u4e86\u9ad8\u6548\u7684\u641c\u7d22\u7b56\u7565\u3002\u57fa\u4e8e\u6b64\uff0c\u5fb7\u56fd\u6155\u5c3c\u9ed1\u5de5\u4e1a\u5927\u5b66<\/b><\/strong>Karsten Reuter<\/b><\/strong>\uff08\u901a\u8baf\u4f5c\u8005\uff09\u7b49\u4eba<\/b><\/strong>\u62a5\u9053\u4e86\u4e00\u79cd\u4e3b\u52a8\u673a\u5668\u5b66\u4e60\uff08AML\uff09\u65b9\u6cd5\uff0c\u901a\u8fc7\u8fde\u7eed\u5e94\u7528\u5206\u5b50\u53d8\u5f62\u64cd\u4f5c\u6765\u63a2\u7d22\u65e0\u9650\u7684\u641c\u7d22\u7a7a\u95f4\u3002\u8be5\u65b9\u6cd5\u4ee5\u7535\u8377\u6ce8\u5165\u548c\u8fc1\u79fb\u7387\u63cf\u8ff0\u7b26\u4e3a\u57fa\u7840\uff0c\u5bf9OSC\u5019\u9009\u5206\u5b50\u7684\u9002\u7528\u6027\u8fdb\u884c\u4e86\u8bc4\u4f30\uff0c\u7136\u540e\u8fde\u7eed\u67e5\u8be2\u9884\u6d4b\u8d28\u91cf\u7684\u7b2c\u4e00\u6027\u539f\u7406\u8ba1\u7b97\uff0c\u4ee5\u5efa\u7acb\u7ec6\u5316\u7684\u66ff\u4ee3\u6a21\u578b\u3002AML\u65b9\u6cd5\u5728\u622a\u65ad\u7684\u6d4b\u8bd5\u7a7a\u95f4\u4e2d\u8fdb\u884c\u4e86\u4f18\u5316\uff0c\u901a\u8fc7\u5c06\u5176\u53ef\u89c6\u5316\u4e3a\u5316\u5b66\u7a7a\u95f4\u7f51\u7edc\u6765\u63d0\u4f9b\u6df1\u5165\u7684\u65b9\u6cd5\u5b66\u89c1\u89e3\u3002\u4f18\u5316\u7684AML\u65b9\u6cd5\u663e\u8457\u4f18\u4e8e\u4f20\u7edf\u7684\u8ba1\u7b97\u6f0f\u6597\uff0c\u53ef\u4ee5\u5feb\u901f\u8bc6\u522b\u51fa\u5df2\u77e5\u548c\u8fc4\u4eca\u672a\u77e5\u7684\u5177\u6709\u4f18\u8d8a\u7535\u8377\u4f20\u5bfc\u7279\u6027\u7684OSC\u5019\u9009\u5206\u5b50\u3002\u66f4\u91cd\u8981\u7684\u662f\uff0c\u5b83\u5728\u4e0d\u65ad\u63a2\u7d22\u65e0\u5c3d\u7684\u8bbe\u8ba1\u7a7a\u95f4\u7684\u540c\u65f6\uff0c\u4e0d\u65ad\u5bfb\u627e\u5230\u66f4\u9ad8\u6548\u7684\u5019\u9009\u5206\u5b50\u3002<\/p>\n

\u6587\u7ae0\u4fe1\u606f\uff1a<\/p>\n

Active discovery of organic semiconductors. Nat. Commun., <\/i><\/em>2021<\/b><\/strong>, DOI:\u00a010.1038\/s41467-021-22611-4.<\/p>\n

https:\/\/doi.org\/10.1038\/s41467-021-22611-4.<\/p>\n

6\u3001Sci. Adv.<\/b><\/strong>\uff1a\u673a\u5668\u5b66\u4e60\u52a9\u529b\u76ae\u80a4\u8d34\u5408\u7684\u65e0\u7ebf\u4f20\u611f\u5668\u5ba2\u89c2\u91cf\u5316\u7619\u75d2\u75c7\u72b6<\/b><\/strong><\/p>\n

\"\"<\/p>\n

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\u6587\u7ae0\u4fe1\u606f\uff1a<\/p>\n

A skin-conformable wireless sensor to objectively quantify symptoms of pruritus. Sci. Adv.<\/i><\/em>,<\/i><\/em>\u00a0202<\/b><\/strong>1<\/b><\/strong>, DOI: 10.1126\/sciadv.abf9405.<\/p>\n

http:\/\/advances.sciencemag.org\/content\/7\/18\/eabf9405.<\/p>\n

7\u3001Sci. Adv.\uff1a<\/b><\/strong>\u673a\u5668\u5b66\u4e60\u52a9\u529b\u4ee5\u7ed3\u6784\u57fa\u5e8f\u4e3a\u4e2d\u5fc3\u7684\u65e0\u673a\u6676\u4f53\u7cfb\u7edf\u5b66\u4e60\u6846\u67b6<\/b><\/strong><\/p>\n

\"\"<\/p>\n

\u5c06\u7269\u7406\u539f\u7406\u7ed3\u5408\u5230\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u4f53\u7cfb\u7ed3\u6784\u4e2d\u662f\u5b9e\u73b0\u65e0\u673a\u6750\u6599\u4eba\u5de5\u667a\u80fd\u6301\u7eed\u53d1\u5c55\u7684\u57fa\u672c\u6b65\u9aa4\u3002\u57fa\u4e8e\u6b64\uff0c\u7f8e\u56fd\u5929\u666e\u5927\u5b66<\/b><\/strong>Qimin Yan<\/b><\/strong>\u548c<\/b><\/strong>Slobodan Vucetic<\/b><\/strong>\uff08\u5171\u540c\u901a\u8baf\u4f5c\u8005\uff09\u7b49\u4eba<\/b><\/strong>\u53d7Pauling\u6cd5\u5219\u7684\u542f\u53d1\uff0c\u62a5\u9053\u4e86\u4e00\u79cd\u65e0\u673a\u6676\u4f53\u4e2d\u7684\u7ed3\u6784\u57fa\u5e8f\u53ef\u4ee5\u4f5c\u4e3a\u673a\u5668\u5b66\u4e60\uff08ML\uff09\u6846\u67b6\u7684\u4e2d\u5fc3\u8f93\u5165\u3002\u4f5c\u8005\u8bc1\u660e\u4e86\u7ed3\u6784\u57fa\u5e8f\u7684\u5b58\u5728\u53ca\u5176\u5728\u5927\u91cf\u6676\u4f53\u5316\u5408\u7269\u4e2d\u7684\u8fde\u63a5\u53ef\u4ee5\u901a\u8fc7\u65e0\u76d1\u7763\u5b66\u4e60\u7b97\u6cd5\u8f6c\u5316\u4e3a\u552f\u4e00\u7684\u5411\u91cf\u8868\u793a\u3002\u4e3a\u4e86\u6f14\u793a\u7ed3\u6784\u4e3b\u4f53\u4fe1\u606f\u7684\u4f7f\u7528\uff0c\u4f5c\u8005\u5c06\u4e3b\u4f53\u4fe1\u606f\u4e0e\u57fa\u4e8e\u539f\u5b50\u7684\u56fe\u795e\u7ecf\u7f51\u7edc\u76f8\u7ed3\u5408\uff0c\u5efa\u7acb\u4e86\u4e00\u4e2a\u4ee5\u4e3b\u4f53\u4e3a\u4e2d\u5fc3\u7684\u5b66\u4e60\u6846\u67b6\uff0c\u5f62\u6210\u4e86\u4e00\u4e2a\u539f\u5b50\u4e3b\u4f53\u53cc\u56fe\u7f51\u7edc\uff08AMDNet\uff09\uff0c\u8be5\u7f51\u7edc\u5728\u9884\u6d4b\u91d1\u5c5e\u6c27\u5316\u7269\u7684\u5e26\u9699\u7b49\u7535\u5b50\u7ed3\u6784\u65b9\u9762\u66f4\u4e3a\u51c6\u786e\u3002\u603b\u4e4b\uff0c\u8be5\u5de5\u4f5c\u8bf4\u660e\u4e86\u5982\u4f55\u901a\u8fc7\u7ed3\u5408\u8d85\u8d8a\u539f\u5b50\u7269\u7406\u539f\u7406\u6765\u8bbe\u8ba1\u590d\u6742\u6750\u6599\u7684\u56fe\u5f62\u795e\u7ecf\u7f51\u7edc\u5b66\u4e60\u7ed3\u6784\u3002<\/p>\n

\u6587\u7ae0\u4fe1\u606f\uff1a<\/p>\n

Structure motif-centric learning framework for inorganic crystalline systems. Sci. Adv.<\/i><\/em>,<\/i><\/em>\u00a0202<\/b><\/strong>1<\/b><\/strong>, DOI: 10.1126\/sciadv.abf1754.<\/p>\n

http:\/\/advances.sciencemag.org\/content\/7\/17\/eabf1754.<\/p>\n

8\u3001Nano Energy\uff1a<\/b><\/strong>\u673a\u5668\u5b66\u4e60\u52a9\u529b\u57fa\u4e8e\u7eba\u7ec7\u7684\u77f3\u58a8\u70ef\u6c14\u4f53\u4f20\u611f\u4e0e\u80fd\u91cf\u6536\u96c6\u8f85\u52a9\u7684\u7269\u8054\u7f51\u5e94\u7528<\/b><\/strong><\/p>\n

\"\"<\/p>\n

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\u6587\u7ae0\u4fe1\u606f\uff1a<\/p>\n

Machine learning-enabled textile-based graphene gas sensing with energy harvesting-assisted IoT application. Nano Energy,<\/i><\/em>\u00a02021<\/b><\/strong>, DOI: 10.1016\/j.nanoen.2021.106035.<\/p>\n

https:\/\/doi.org\/10.1016\/j.nanoen.2021.106035.<\/p>\n

9\u3001<\/b><\/strong>A<\/b><\/strong>CS Catal.\uff1a<\/b><\/strong>\u673a\u5668\u5b66\u4e60\u52a9\u529b\u50ac\u5316\u5242\u4f18\u5316\uff01<\/b><\/strong>TiO<\/b><\/strong>2<\/b><\/sub><\/strong>\u8d1f\u8f7dRe\u4e0e\u6cb8\u77f3\u50ac\u5316\u5242<\/b><\/strong>\u7528\u4e8e<\/b><\/strong>CO<\/b><\/strong>2<\/b><\/sub><\/strong>\u548cH<\/b><\/strong>2<\/b><\/sub><\/strong>\u7684\u7532\u57fa\u5316<\/b><\/strong><\/p>\n

\"\"<\/p>\n

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\u6587\u7ae0\u4fe1\u606f\uff1a<\/p>\n

Catalytic Methylation of m<\/i><\/em>-Xylene, Toluene, and Benzene Using CO2<\/sub>\u00a0and H2<\/sub>\u00a0over TiO2<\/sub>-Supported Re and Zeolite Catalysts: Machine-Learning-Assisted Catalyst Optimization. ACS Catalysis<\/i><\/em>, 2021<\/b><\/strong>, DOI: 10.1021\/acscatal.0c05661.<\/p>\n

https:\/\/doi.org\/10.1021\/acscatal.0c05661.<\/p>\n

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