{"id":37283,"date":"2025-01-25T13:00:14","date_gmt":"2025-01-25T05:00:14","guid":{"rendered":"https:\/\/17aitech.com\/?p=37283"},"modified":"2025-01-25T13:00:14","modified_gmt":"2025-01-25T05:00:14","slug":"%e7%b2%be%e5%ba%a6%e6%8f%90%e5%8d%8720%ef%bc%8c%e4%b8%ad%e7%a7%91%e9%99%a2%e3%80%81%e5%8d%97%e4%ba%ac%e7%90%86%e5%b7%a5ai%e6%96%b9%e6%b3%95%e8%bf%9b%e8%a1%8c%e5%85%89%e7%94%b5%e5%ad%90%e8%83%bd","status":"publish","type":"post","link":"https:\/\/17aitech.com\/?p=37283","title":{"rendered":"\u7cbe\u5ea6\u63d0\u534720%\uff0c\u4e2d\u79d1\u9662\u3001\u5357\u4eac\u7406\u5de5AI\u65b9\u6cd5\u8fdb\u884c\u5149\u7535\u5b50\u80fd\u8c31\u9ad8\u7ef4\u6570\u636e\u7cbe\u7ec6\u89e3\u6790"},"content":{"rendered":"

\u6587\u7ae0\u6765\u6e90\u4e8e\u4e92\u8054\u7f51:\u7cbe\u5ea6\u63d0\u534720%\uff0c\u4e2d\u79d1\u9662\u3001\u5357\u4eac\u7406\u5de5AI\u65b9\u6cd5\u8fdb\u884c\u5149\u7535\u5b50\u80fd\u8c31\u9ad8\u7ef4\u6570\u636e\u7cbe\u7ec6\u89e3\u6790<\/a><\/p>\n

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

\u7f16\u8f91\u4e28ScienceAI<\/p>\n

\u65e0\u76d1\u7763\u805a\u7c7b<\/mark>\u7b97\u6cd5\u5728\u5212\u5206 Nano-ARPES\uff08ARPES\uff1a\u89d2\u5206\u8fa8\u5149\u7535\u5b50\u80fd\u8c31\uff09\u7a7a\u95f4\u6620\u5c04<\/mark>\u6570\u636e\u96c6\u65b9\u9762\u8868\u73b0\u51fa\u5f3a\u5927\u7684\u80fd\u529b\u3002\u7136\u800c\uff0c\u5728\u533a\u5206\u7ec6\u5fae\u7684\u80fd\u5e26\u5dee\u5f02\u65b9\u9762\u5219\u8868\u73b0\u6b20\u4f73\u3002<\/p>\n

\u5728\u6700\u65b0\u7684\u7814\u7a76\u4e2d\uff0c\u4e2d\u56fd\u79d1\u5b66\u9662\u9ad8\u80fd\u7269\u7406\u7814\u7a76\u6240\u7684\u7814\u7a76\u56e2\u961f\u4e0e\u5357\u4eac\u7406\u5de5\u5927\u5b66\u7684\u79d1\u7814\u4eba\u5458\u5408\u4f5c\u5f00\u53d1\u4e86\u4e00\u79cd\u591a\u9636\u6bb5\u65e0\u76d1\u7763\u805a\u7c7b<\/mark>\u7b97\u6cd5(Multi-Stage Clustering Algorithm\uff0cMSCA)\u3002<\/p>\n

\u76f8\u8f83\u4e8e\u4f20\u7edf\u7684\u805a\u7c7b<\/mark>\u7b97\u6cd5\uff0c\u8be5\u7b97\u6cd5\u5728\u805a\u7c7b<\/mark>\u7cbe\u5ea6\u4e0a\u63d0\u5347\u4e86\u7ea6 20%\uff0c\u901a\u8fc7\u81ea\u52a8\u63d0\u53d6\u80fd\u5e26\u5728\u8868\u9762\u7684\u4e00\u81f4\u6027\u4ece\u800c\u6e05\u6670\u5730\u5212\u5206\u51fa MoS2<\/sub>\/BN\u00a0\u5f02\u8d28\u7ed3\u4e2d\u4e0d\u540c\u886c\u5e95\u6216\u5c42\u6570 MoS2\u00a0<\/sub>\u7684\u5206\u5e03\uff0c\u5e76\u5b9e\u73b0\u4e86\u7ec6\u5fae\u80fd\u5e26\u5dee\u5f02\u7684\u6293\u53d6\u3002<\/p>\n

\u8be5\u7814\u7a76\u4ee5\u300cAutomatic extraction of fine structural information in angle-resolved photoemission spectroscopy by multi-stage clustering algorithm<\/em>\u300d\u4e3a\u9898\uff0c\u4e8e 2024 \u5e74 12 \u6708 6 \u65e5\u53d1\u5e03\u5728\u300aCommunications Physics<\/em>\u300b\u3002<\/p>\n

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

\u5728\u56fa\u4f53\u6750\u6599\u79d1\u5b66\u9886\u57df\uff0cARPES \u6280\u672f\u56e0\u5176\u5bf9\u7535\u5b50\u52a8\u91cf<\/mark>\u548c\u80fd\u91cf\u540c\u65f6\u5206\u8fa8\u7684\u80fd\u529b\u800c\u88ab\u5e7f\u6cdb\u7528\u4e8e\u91cf\u5b50\u6750\u6599\u7684\u7535\u5b50\u7ed3\u6784\u8868\u5f81\u3002\u4f20\u7edf\u7684\u00a0ARPES \u6280\u672f\u53d7\u9650\u4e8e\u6beb\u7c73\u7ea7\u7684\u5149\u6591\u5c3a\u5bf8\u800c\u5f80\u5f80\u4ec5\u80fd\u5bf9\u5747\u8d28\u7684\u5b8c\u7f8e\u5355\u6676\u5f00\u5c55\u7814\u7a76\uff0c\u9ad8\u80fd\u540c\u6b65\u8f90\u5c04\u5149\u6e90\uff08HEPS\uff09\u4e0a\u7684 Nano-ARPES \u7ebf\u7ad9\u901a\u8fc7\u805a\u7126X\u5c04\u7ebf\u5149\u6591\u81f3\u7eb3\u7c73\u91cf\u7ea7\uff0c\u4f7f\u5f97\u7814\u7a76\u7535\u5b50\u7ed3\u6784\u5728\u8868\u9762\u5fae\u7eb3\u5c3a\u5ea6\u7684\u5206\u5e03\u6210\u4e3a\u53ef\u80fd\u3002\u7136\u800c\uff0c\u6837\u54c1\u8868\u9762\u7684\u590d\u6742\u6027\u4ee5\u53ca\u9ad8\u7ef4\u5ea6\u7684\u5e9e\u5927\u6570\u636e\u91cf\u7ed9 Nano-ARPES \u7684\u6570\u636e\u5206\u6790<\/mark>\u5e26\u6765\u4e86\u6311\u6218\u3002<\/p>\n

\u8fd1\u5e74\u6765\uff0c\u5229\u7528\u65e0\u76d1\u7763\u805a\u7c7b<\/mark>\u7b97\u6cd5\u5212\u5206\u6837\u54c1\u8868\u9762\u4e0d\u540c\u7535\u5b50\u7ed3\u6784\u533a\u57df\u7684\u7814\u7a76\u53d6\u5f97\u4e86\u4e00\u5b9a\u7684\u8fdb\u5c55\u3002\u867d\u7136\u4f20\u7edf\u7684\u65e0\u76d1\u7763\u805a\u7c7b<\/mark>\u7b97\u6cd5\u80fd\u591f\u9488\u5bf9\u80fd\u5e26\u7ed3\u6784\u5728\u79d2\u91cf\u7ea7\u5b8c\u6210\u5bf9\u4e0d\u540c\u6750\u6599\u7684\u533a\u57df\u5212\u5206\uff0c\u4f46\u5728\u533a\u5206\u7ec6\u5fae\u7684\u80fd\u5e26\u5dee\u5f02\u65b9\u9762\u5219\u8868\u73b0\u6b20\u4f73\uff0c\u6bd4\u5982\u4f20\u7edf\u805a\u7c7b<\/mark>\u7b97\u6cd5\u96be\u4ee5\u533a\u5206\u00a0MoS2<\/sub>\/BN \u5f02\u8d28\u7ed3\u4e2d\u7531\u4e0d\u540c\u886c\u5e95\u6216\u5c42\u6570\u9020\u6210\u7684\u00a0MoS2\u00a0<\/sub>\u4ef7\u5e26\u5288\u88c2\u3002<\/p>\n

\u7136\u800c\u8fd9\u4e9b\u7531\u4e8e\u67d0\u79cd\u8bf1\u5bfc\u56e0\u7d20\u5bfc\u81f4\u7684\u7ec6\u5fae\u80fd\u5e26\u53d8\u5316\u5f80\u5f80\u8574\u542b\u7740\u4e30\u5bcc\u7684\u7269\u7406\u673a\u5236\u5e76\u4e14\u662f\u7814\u7a76\u4eba\u5458\u6240\u5173\u6ce8\u7684\u4fe1\u606f\u3002\u9488\u5bf9\u8fd9\u4e00\u95ee\u9898\uff0c\u4f5c\u8005\u5f00\u53d1\u4e86\u4e00\u79cd\u591a\u9636\u6bb5\u65e0\u76d1\u7763\u805a\u7c7b<\/mark>\u7b97\u6cd5(Multi-Stage Clustering Algorithm\uff0cMSCA)\u00a0\uff0c\u8be5\u65b9\u6cd5\u5728 Nano-ARPES\u00a0\u6570\u636e\u96c6\u4e2d\u540c\u65f6\u5b9e\u73b0\u4e86\u5b9e\u7a7a\u95f4\u548c\u52a8\u91cf<\/mark>\u7a7a\u95f4\u7684\u805a\u7c7b<\/mark>\u5206\u6790\u3002\u6b64\u5916\uff0cMSCA \u80fd\u591f\u6307\u51fa\u4e00\u4e9b\u7ec6\u5fae\u7684\u80fd\u5e26\u5dee\u5f02\uff0c\u5982\u80fd\u5e26\u7684\u79fb\u52a8\u6216\u5206\u88c2\uff0c\u663e\u8457\u63d0\u9ad8\u4e86\u805a\u7c7b<\/mark>\u7684\u51c6\u786e\u6027\u548c\u8bc6\u522b\u9650\u5ea6\u3002<\/p>\n

\u6837\u54c1\u4ecb\u7ecd\u4e0eK-means\u7b97\u6cd5\u7ed3\u679c<\/strong><\/section>\n

\u672c\u7814\u7a76\u57fa\u4e8e\u7684\u6570\u636e\u6765\u81ea\u6837\u54c1 MoS2<\/sub>\/BN\/Au\uff0c\u4e09\u79cd\u6750\u6599\u53e0\u653e\u5728\u4e00\u8d77\uff0c\u7531\u4e0a\u81f3\u4e0b\u5206\u522b\u662f MoS2<\/sub>\uff0cBN \u548c Au\uff0c\u6837\u54c1\u7684 Truth Table \u7531\u56fe 1 \u6240\u793a\uff0cTruth Table \u7528\u6765\u8ba1\u7b97\u7b97\u6cd5\u7684\u6027\u80fd\u6307\u6807\u3002\u76ee\u524d\u5e94\u7528\u5e7f\u6cdb\u7684 K-means \u7b97\u6cd5\u53ea\u80fd\u533a\u5206\u51fa\u5177\u6709\u8f83\u5927\u5dee\u5f02\u7684 Au\uff0cBN \u548c MoS2<\/sub> \u4e09\u79cd\u6750\u6599\uff0c\u4f46\u5bf9\u4e8e\u4e0d\u540c\u7c7b\u578b MoS2<\/sub> \u7684\u533a\u5206\u8868\u73b0\u6b20\u4f73\uff0c\u5982\u56fe 2 \u6240\u793a\u3002<\/p>\n

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

\u56fe 1 \uff1a\u6837\u54c1\u7684Truth Table\uff1aAu\uff0cBN\uff0c\u57fa\u4e8e\u886c\u5e95 Au \u7684 MoS2<\/sub>\uff0c\u57fa\u4e8e\u886c\u5e95 BN \u7684\u5355\u5c42\u00a0MoS2<\/sub> \u548c\u57fa\u4e8e\u886c\u5e95 BN \u7684\u591a\u5c42 MoS2<\/sub> \u7684\u50cf\u7d20\u503c\u5206\u522b\u662f 0\uff0c1\uff0c2\uff0c3 \u548c 4\uff0c\u4e0d\u786e\u5b9a\u533a\u57df\u7684\u50cf\u7d20\u503c\u4e3a 5\u3002<\/a><\/section>\n
\u56fe 2 \uff1aK-means \u7b97\u6cd5\u5c06 Nano-ARPES \u6570\u636e\u96c6\u5206\u4e3a 3\/6 \u7c7b\u7684\u7ed3\u679c\u3002<\/section>\n

Multi-Stage Clustering Algorithm\uff08MSCA\uff09<\/strong><\/p>\n

\u4f5c\u8005\u8ba4\u4e3a\uff0c\u4e0d\u540c\u7c7b\u578b MoS2\u00a0<\/sub>\u7684\u533a\u5206\u91cd\u70b9\u5728\u4e8e\u6355\u6349\u5230\u7ec6\u5fae\u7684\u80fd\u5e26\u5dee\u5f02\uff0c\u800c\u4f20\u7edf\u7684K-means \u7b97\u6cd5\u5c06\u6574\u4e2a\u52a8\u91cf<\/mark>\u7a7a\u95f4\u7684\u80fd\u8c31\u4f5c\u4e3a\u8f93\u5165\uff0c\u4f1a\u524a\u5f31\u7279\u5b9a\u80fd\u5e26\u7684\u5206\u8fa8\u80fd\u529b\uff0c\u56e0\u6b64\uff0c\u5b9e\u73b0\u7cbe\u7ec6\u805a\u7c7b<\/mark>\u7684\u5173\u952e\u5728\u4e8e\u6355\u6349\u5230\u52a8\u91cf<\/mark>\u7a7a\u95f4\u4e2d\u7279\u5b9a\u7684\u80fd\u5e26\uff0c\u57fa\u4e8e\u80fd\u5e26\u533a\u57df\u7684\u805a\u7c7b<\/mark>\u5c06\u6781\u5927\u63d0\u5347\u805a\u7c7b<\/mark>\u7cbe\u5ea6\uff0c\u8be5\u8fc7\u7a0b\u53ef\u4ee5\u901a\u8fc7\u591a\u9636\u6bb5\u805a\u7c7b<\/mark>\u7b97\u6cd5(MSCA)\u6765\u89e3\u51b3\uff0c MSCA \u7684\u5206\u6790\u6d41\u7a0b\u5982\u56fe 3 \u6240\u793a\u3002<\/section>\n

\u56fe 3 \uff1a\u591a\u9636\u6bb5\u805a\u7c7b<\/mark>\u7b97\u6cd5(MSCA)\u5206\u6790\u6d41\u7a0b\u3002<\/p>\n

MSCA \u5c06 K-means \u7b97\u6cd5\u5e94\u7528\u4e8e\u4e09\u4e2a\u9636\u6bb5\u7684\u6570\u636e\u5904\u7406\u3002\u5728\u4e0d\u540c\u7684\u80fd\u91cf-\u52a8\u91cf<\/mark>\u7a97\u53e3\u4e2d\uff0c\u5b9e\u7a7a\u95f4\u7684 K-means \u805a\u7c7b<\/mark>\u7ed3\u679c\u88ab\u89c6\u4e3a\u7b2c\u4e8c\u8f6e\u52a8\u91cf<\/mark>\u7a7a\u95f4 K-means \u805a\u7c7b<\/mark>\u7684\u8f93\u5165\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u6355\u83b7\u5230\u5728\u5b9e\u7a7a\u95f4\u8868\u73b0\u51fa\u4e0d\u5747\u5300\u7684\u80fd\u91cf-\u52a8\u91cf<\/mark>\u7a97\u53e3\uff0c\u4ece\u800c\u51c6\u786e\u533a\u5206\u5177\u6709\u7ec6\u5fae\u5dee\u5f02\u7684\u5355\/\u591a\u5c42\u4ee5\u53ca\u4e0d\u540c\u886c\u5e95\u7684 MoS2<\/sub>\uff0c\u5982\u56fe 4 \u6240\u793a\u3002<\/p>\n

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

\u56fe 4 \uff1a\u591a\u9636\u6bb5\u805a\u7c7b<\/mark>\u7b97\u6cd5(MSCA)\u52a8\u91cf<\/mark>\u7a7a\u95f4\u53ca\u5b9e\u7a7a\u95f4\u7684\u805a\u7c7b<\/mark>\u7ed3\u679c\u3002<\/p>\n

\u4e3a\u4e86\u8bc4\u4f30\u5404\u7b97\u6cd5\u7684\u7cbe\u5ea6\uff0c\u7814\u7a76\u4eba\u5458\u4f7f\u7528 Accuracy\u3001Recall\u3001Precision \u548c F1 score \u7b49\u6307\u6807\u8bc4\u4f30\u4e86 K-means \u4e0e MSCA \u7b97\u6cd5\u7684\u6027\u80fd\u3002\u9274\u4e8e\u672c\u7814\u7a76\u4e2d\u6570\u636e\u96c6\u7684\u4e0d\u5e73\u8861\u7279\u6027\uff0c\u7814\u7a76\u4eba\u5458\u901a\u8fc7\u8ba1\u7b97 macro averages\uff0c\u5bf9\u7b97\u6cd5\u7684\u6574\u4f53\u805a\u7c7b<\/mark>\u6b63\u786e\u6027\u63d0\u4f9b\u4e86\u66f4\u5e73\u8861\u548c\u5168\u9762\u7684\u8bc4\u4f30\uff0c\u786e\u4fdd\u6027\u80fd\u4e0d\u4f1a\u53d7\u5230\u5b9e\u4f8b\u6570\u91cf\u8f83\u591a\u7684\u7c7b\u522b\u7684\u5f71\u54cd\uff08\u88681\/2\uff09\u3002<\/p>\n

\u76f8\u8f83\u4e8e K-means \u7b97\u6cd5\uff0cMSCA \u7684 Macro Accuracy\uff0cPrecision\uff0cRecall \u548c F1 Score \u5206\u522b\u63d0\u5347\u4e86 2%\uff0c6%\uff0c20% \u548c 18%\u3002\u53e6\u5916\uff0c\u6bcf\u4e00\u7c7b MoS2<\/sub> \u7684 Precision \u548c Recall \u6570\u503c\u90fd\u66f4\u52a0\u7684\u5e73\u8861\uff0c\u8868\u660e MSCA \u5728\u6b63\u786e\u8bc6\u522b\u6b63\u5b9e\u4f8b\u7684\u540c\u65f6\u80fd\u591f\u6709\u6548\u907f\u514d\u5c06\u8d1f\u5b9e\u4f8b\u9519\u8bef\u5206\u7c7b\u4e3a\u6b63\u5b9e\u4f8b\uff0c\u8fd9\u79cd\u5e73\u8861\u7684\u6027\u80fd\u901a\u5e38\u88ab\u8ba4\u4e3a\u662f\u7b97\u6cd5\u7684\u7406\u60f3\u7279\u5f81\u3002<\/p>\n

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

\u672a\u6765\u5c55\u671b<\/strong><\/p>\n

MSCA \u4f5c\u4e3a\u4e00\u79cd\u9ad8\u6548\u7684\u6570\u636e\u5904\u7406\u65b9\u6cd5\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406\u5177\u6709\u590d\u6742\u80fd\u5e26\u8272\u6563\u7684\u6837\u54c1\uff0c\u80fd\u591f\u7cbe\u786e\u6355\u6349\u5230\u7ec6\u5fae\u7684\u80fd\u5e26\u5dee\u5f02\uff0c\u5bf9\u4e8e\u9ad8\u7ef4\u79d1\u5b66\u6570\u636e\u5206\u6790<\/mark>\u5177\u6709\u91cd\u8981\u7684\u5b9e\u7528\u4ef7\u503c\u3002MSCA \u80fd\u591f\u50cf\u7ecf\u9a8c\u4e30\u5bcc\u7684\u7814\u7a76\u4eba\u5458\u4e00\u6837\uff0c\u81ea\u52a8\u641c\u7d22\u7a7a\u95f4\u4e2d\u7684\u4e0d\u5747\u5300\u80fd\u5e26\u7ed3\u6784\uff0c\u5e76\u7a81\u51fa\u663e\u793a\u8fd9\u4e9b\u80fd\u5e26\uff0c\u65e0\u9700\u4f9d\u8d56\u4ee5\u5f80\u7684\u7814\u7a76\u77e5\u8bc6\u3002<\/p>\n

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\u8bba\u6587\u94fe\u63a5\uff1ahttps:\/\/www.nature.com\/articles\/s42005-024-01878-1<\/em><\/p>\n

\u4ee3\u7801\u94fe\u63a5\uff1ahttps:\/\/github.com\/lbian94\/FineClustering<\/em><\/section>\n

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