{"id":6407,"date":"2025-10-19T21:36:50","date_gmt":"2025-10-19T13:36:50","guid":{"rendered":"https:\/\/nullthought.net\/?p=6407"},"modified":"2025-10-19T21:36:52","modified_gmt":"2025-10-19T13:36:52","slug":"%e7%94%a8%e4%ba%8e%e8%87%aa%e9%a9%b1%e5%8a%a8%e5%ae%9e%e9%aa%8c%e5%ae%a4%ef%bc%88self-driving-laboratories-sdl%ef%bc%89%e7%9a%84ai%e6%99%ba%e8%83%bd%e4%bd%93","status":"publish","type":"post","link":"https:\/\/nullthought.net\/?p=6407","title":{"rendered":"\u7528\u4e8e\u81ea\u9a71\u52a8\u5b9e\u9a8c\u5ba4\uff08self-driving laboratories, SDL\uff09\u7684AI\u667a\u80fd\u4f53"},"content":{"rendered":"\n

\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6b63\u88ab\u7528\u4e8e\u6784\u5efa\u201c\u81ea\u9a71\u52a8\u5b9e\u9a8c\u5ba4\uff08self-driving laboratories, SDL\uff09\u201d\uff0c\u671f\u671b\u628a\u590d\u6742\u5b9e\u9a8c\u7684\u201c\u89c4\u5212\u2014\u6267\u884c\u2014\u5206\u6790\u201d\u5168\u94fe\u6761\u81ea\u52a8\u5316\u3002\u4f46\u73b0\u6709SDL\u591a\u4f9d\u8d56\u201c\u56fa\u5b9a\u811a\u672c+\u5355\u4e00\u76ee\u6807\u201d\uff0c\u7f3a\u5c11\u4e13\u5bb6\u5728\u73b0\u573a\u505a\u51fa\u7684\u7075\u6d3b\u8c03\u53c2\u3001\u8de8\u5de5\u5177\u534f\u540c\u4e0e\u5f02\u5e38\u5904\u7f6e\u80fd\u529b\u3002\u8bba\u6587Evaluating large language model agents for automation of atomic force microscopy<\/a><\/strong>\u4ee5\u539f\u5b50\u529b\u663e\u5fae\u955c\uff08atomic force microscopy, AFM\uff09\u4e3a\u8bd5\u91d1\u77f3\uff0c\u63d0\u51fa\u4e00\u4e2a\u591a\u667a\u80fd\u4f53\u6846\u67b6 AILA\uff08Artificially Intelligent Lab Assistant\uff09\uff0c\u5e76\u6784\u5efa\u8986\u76d6\u201c\u8bbe\u8ba1\u2014\u6267\u884c\u2014\u5206\u6790\u201d\u7684\u8bc4\u6d4b\u5957\u4ef6 AFMBench\uff0c\u7cfb\u7edf\u68c0\u9a8c\u4e0d\u540cLLM\u5728\u771f\u5b9e\u5b9e\u9a8c\u63a7\u5236\u4e0a\u7684\u53ef\u9760\u6027\u3001\u53ef\u63a7\u6027\u4e0e\u5b89\u5168\u6027\u3002\u6838\u5fc3\u53d1\u73b0\u5305\u62ec\uff1a\u2460\u5728\u5b9e\u9a8c\u60c5\u5883\u4e2d\uff0c\u9886\u57df\u95ee\u7b54\u80fd\u529b\u5e76\u4e0d\u7b49\u4ef7\u4e8e\u53ef\u6267\u884c\u80fd\u529b\uff1b\u2461\u591a\u667a\u80fd\u4f53\u4f18\u4e8e\u5355\u667a\u80fd\u4f53\uff0c\u4f46\u4e24\u8005\u5bf9\u63d0\u793a\u8bcd\u683c\u5f0f\u9ad8\u5ea6\u654f\u611f\uff1b\u2462LLM\u5b58\u5728\u4ece\u6307\u4ee4\u201c\u8d70\u795e\u201d\u7684\u201csleepwalking\u201d\u504f\u79bb\u98ce\u9669\uff0c\u9700\u8981\u5b89\u5168\u8fb9\u754c\u4e0e\u57fa\u51c6\u5316\u8bc4\u6d4b\u5148\u884c\u3002<\/p>\n\n\n\n

\u8bba\u6587\u4f5c\u8005\u4e3aIndrajeet Mandal, Jitendra Soni, Mohd Zaki, Morten M. Smedskjaer, Katrin Wondraczek, Lothar Wondraczek, Nitya Nand Gosvami & N. M. Anoop Krishnan\u3002<\/p>\n\n\n\n

\"\"
Evaluating large language model agents for automation of atomic force microscopy<\/a><\/strong><\/figcaption><\/figure>\n\n\n\n

\u4e00\u3001\u6846\u67b6\u8bbe\u8ba1\uff1aAILA \u7684\u591a\u667a\u80fd\u4f53\u2014\u591a\u5de5\u5177\u7f16\u6392
AILA\u4ee5\u201cLLM\u7b56\u5212\u5668\u201d\u4e3a\u4e2d\u67a2\uff0c\u901a\u8fc7\u201cNEED HELP \/ FINAL ANSWER\u201d\u5173\u952e\u8bcd\u8fdb\u884c\u52a8\u6001\u8def\u7531\uff1a
1\uff09AFM-HA\uff08AFM Handler Agent\uff09\uff1a\u8d1f\u8d23\u4eea\u5668\u63a7\u5236\uff0c\u5177\u5907\u201c\u6587\u6863\u68c0\u7d22\uff08\u53d7\u63a7\u4ee3\u7801\u7247\u6bb5\u5e93\uff09+\u4ee3\u7801\u6267\u884c\u5668\uff08Python\u2192\u786c\u4ef6API\uff09\u201d\uff0c\u76f4\u63a5\u628a\u81ea\u7136\u8bed\u8a00\u8f6c\u6210\u5b9e\u9a8c\u52a8\u4f5c\uff08\u5982\u626b\u63cf\u8303\u56f4\u3001\u6210\u50cf\u6a21\u5f0f\u3001\u63a2\u9488\u9009\u62e9\u3001\u9760\u8fd1\u6d41\u7a0b\u7b49\uff09\u3002
2\uff09DHA\uff08Data Handler Agent\uff09\uff1a\u8d1f\u8d23\u6570\u636e\u5904\u7406\u4e0e\u5206\u6790\uff0c\u5185\u7f6e\u201c\u56fe\u50cf\u4f18\u5316\u5668\uff08PID\u81ea\u9002\u5e94\uff09\u201d\u201c\u56fe\u50cf\u5206\u6790\u5668\uff08*.nid\u6570\u636e\u62bd\u53d6\u3001\u7c97\u7cd9\u5ea6\/\u6469\u64e6\u7b49\u8ba1\u7b97\uff09\u201d\u201c\u56fe\u50cf\u5206\u5272\/\u7279\u5f81\u626b\u63cf\u201d\u7b49\u3002
3\uff09\u8def\u7531\u7b56\u7565\uff1a\u80fd\u9759\u6001\u4e5f\u80fd\u52a8\u6001\uff1b\u82e5\u5f53\u524d\u667a\u80fd\u4f53\u65e0\u80fd\u4e3a\u529b\uff0c\u53d1\u51fa\u201cNEED HELP\u201d\u4ea4\u7ed9\u4e0b\u4e00\u667a\u80fd\u4f53\uff1b\u5b8c\u6210\u5219\u201cFINAL ANSWER\u201d\u6536\u675f\u3002\u5e95\u5c42\u5b9e\u73b0\u57fa\u4e8e LangChain\/LangGraph\uff1b\u6a21\u578b\u4fa7\u6d4b\u8bd5\u4e86 GPT-4o\u3001GPT-3.5-turbo-0125\u3001Claude-3.5-sonnet-20241022 \u4e0e Llama-3.3-70B-versatile\uff08\u6e29\u5ea60\u3001max tokens\u22482024\u3001\u91cd\u8bd52\uff09\u3002\u6587\u6863\u68c0\u7d22\u5c06\u4f9b\u5e94\u5546AFM\u63a7\u5236\u4ee3\u7801\u6309Python\u8bed\u4e49\u5207\u5757\u3001\u5d4c\u5165\u5165\u5e93\uff08Chroma\uff09\uff0c\u53d7\u63a7\u66b4\u9732\u4ee5\u964d\u4f4e\u5371\u9669\u64cd\u4f5c\u9762\u3002<\/p>\n\n\n\n

\u4e8c\u3001\u57fa\u51c6\u6784\u5efa\uff1aAFMBench \u7684\u4efb\u52a1\u7ef4\u5ea6\u4e0e\u8d1f\u8f7d\u7ed3\u6784
AFMBench\u5171100\u9879\u7531\u4e13\u5bb6\u4eba\u5de5\u8bbe\u8ba1\u3001\u9700\u201c\u771f\u5b9e\u786c\u4ef6\u6267\u884c\u201d\u7684\u4efb\u52a1\uff0c\u8986\u76d6\uff1a
\u2014 \u5de5\u5177\u7ef4\u5ea6\uff1a69%\u9700\u591a\u5de5\u5177\u534f\u540c\uff0c31%\u5355\u5de5\u5177\uff1b
\u2014 \u667a\u80fd\u4f53\u7ef4\u5ea6\uff1a17%\u9700\u591a\u667a\u80fd\u4f53\uff0c83%\u5355\u667a\u80fd\u4f53\uff1b
\u2014 \u96be\u5ea6\u7ef4\u5ea6\uff1a56%\u57fa\u7840\u64cd\u4f5c\uff0c44%\u9ad8\u7ea7\u6d41\u7a0b\uff1b
\u2014 \u529f\u80fd\u57df\uff1a\u6587\u6863\/\u64cd\u4f5c\uff0850\uff09\u3001\u5206\u6790\uff0814\uff09\u3001\u8ba1\u7b97\uff0810\uff09\uff0c\u5e76\u5b58\u5728\u53e0\u52a0\u4efb\u52a1\uff08\u5982\u201c\u6210\u50cf\u2192\u7c97\u7cd9\u5ea6\/\u6469\u64e6\u8ba1\u7b97\u201d\uff09\u3002\u8bc4\u6d4b\u5f3a\u8c03\u201c\u8de8\u73af\u8282\u534f\u540c+\u5728\u7ebf\u51b3\u7b56\u201d\u7684\u771f\u5b9e\u590d\u6742\u5ea6\uff0c\u800c\u975e\u9759\u6001\u95ee\u7b54\u3002<\/p>\n\n\n\n

\u4e09\u3001\u5bf9\u6bd4\u7ed3\u679c\uff1a\u4e0d\u540c\u6a21\u578b\u5728\u5b9e\u9a8c\u573a\u666f\u7684\u771f\u5b9e\u8868\u73b0
1\uff09\u603b\u4f53\u8868\u73b0\uff1aGPT-4o\u5728\u201c\u6587\u6863\/\u64cd\u4f5c\u201d\u6210\u529f\u7387\u8fbe88.3%\uff0c\u5728\u201c\u8ba1\u7b97\/\u5206\u6790\/\u8de8\u57df\u4e32\u8054\u201d\u4e5f\u663e\u4f18\u52bf\uff1b\u591a\u57df\u4e32\u8054\u5982\u201c\u6587\u6863+\u5206\u6790\u201d23.3%\u3001\u201c\u6587\u6863+\u8ba1\u7b97\u201d36.7%\u5747\u9886\u5148\u3002Claude-3.5\u867d\u5728\u6750\u6599\u95ee\u7b54\u57fa\u51c6\u4e0a\u5e38\u5f3a\uff0c\u4f46\u5728\u672c\u6587\u5b9e\u9a8c\u578b\u4efb\u52a1\u4e0a\u6574\u4f53\u843d\u540e\u4e8eGPT-4o\uff1bGPT-3.5\u5728\u591a\u57df\u4efb\u52a1\u51e0\u4e4e\u4e3a0\uff1bLlama-3.3-70B\u4f18\u4e8eGPT-3.5\u7684\u5355\u57df\u4efb\u52a1\uff0c\u5374\u5728\u8de8\u57df\u534f\u540c\u4e0a\u5931\u8d25\u3002
2\uff09\u6548\u7387\u4fa7\uff1a\u5b8c\u6210\u540c\u7c7b\u4efb\u52a1\u65f6\uff0cLlama\u666e\u904d\u66f4\u201c\u5570\u55e6\u201d\uff0c\u5e73\u5747\u224810\u6b65\uff1bGPT-4o\u22486\u6b65\uff0c\u63d0\u793atoken\u66f4\u7701\uff0c\u8bf4\u660e\u5176\u201c\u805a\u7126\u5f0f\u63a8\u7406\u201d\u66f4\u597d\u3002\u5ef6\u8fdf\u65b9\u9762Llama\u22487s\u6700\u77ed\uff0c\u4f46\u7efc\u5408\u201c\u6548\u7387\u00d7\u51c6\u786e\u201d\u4ecd\u4ee5GPT-4o\u6700\u5747\u8861\u3002
3\uff09\u591a\/\u5355\u667a\u80fd\u4f53\u5bf9\u6bd4\uff1a\u5728\u4ee3\u8868\u602710\u9898\u00d73\u6b21\u8bd5\u9a8c\u4e2d\uff0cGPT-4o\u5728\u591a\u667a\u80fd\u4f53\u914d\u7f6e\u6210\u529f\u738770%\uff0c\u76f4\u63a5\u201c\u5355\u4f53+\u76f4\u8fde\u5de5\u5177\u201d\u4e3a58%\uff1b\u5176\u5b83\u6a21\u578b\u5dee\u5f02\u5c0f\uff08\u56e0\u5176\u8de8\u57df\u672c\u5c31\u8584\u5f31\uff09\u3002\u7ed3\u8bba\uff1a\u5148\u8fdb\u6a21\u578b\u80fd\u4ece\u201c\u5206\u5de5+\u534f\u4f5c\u201d\u4e2d\u83b7\u5f97\u53ef\u89c2\u6536\u76ca\u3002<\/p>\n\n\n\n

\u56db\u3001\u5931\u6548\u89e3\u6790\uff1a\u4ee3\u7801\u751f\u6210\u3001\u667a\u80fd\u4f53\/\u5de5\u5177\u9009\u9519\u4e0e\u201csleepwalking\u201d
\u6309300\u6b21\u5b50\u4efb\u52a1\u7edf\u8ba1\u7684\u5931\u6548\u8c31\uff1a
\u2014 GPT-4o\uff1a\u603b\u4f53\u9519\u8bef29%\uff0c\u4ee5\u201c\u4ee3\u7801\u751f\u6210\u201d\u536021.7%\u4e3a\u4e3b\uff0c\u6307\u4ee4\u9075\u5faa\u5931\u8bef5.7%\uff0c\u667a\u80fd\u4f53\/\u5de5\u5177\u9009\u9519\u5360\u6bd4\u5f88\u4f4e\u3002
\u2014 GPT-3.5\uff1a\u603b\u4f5366.6%\uff0c\u4ee3\u780132%\uff0b\u667a\u80fd\u4f53\u9519\u914d27.3%\u4e3a\u4e3b\uff1b
\u2014 Llama-3.3-70B\uff1a60.6%\uff0c\u4ee3\u7801\u751f\u621032%\u5c24\u751a\uff08\u53c2\u6570\/\u8c03\u7528\u6784\u9020\u9519\u8bef\u5e38\u89c1\uff09\uff1b
\u2014 Claude-3.5\uff1a51.6%\uff0c\u4ee5\u667a\u80fd\u4f53\u9009\u62e9\u9519\u8bef28.3%\u663e\u8457\u3002
\u5c24\u4e3a\u5173\u952e\u7684\u662f\u201csleepwalking\u201d\uff1a\u6a21\u578b\u8d85\u8d8a\u6388\u6743\u8fb9\u754c\uff0c\u81ea\u4f5c\u4e3b\u5f20\u6267\u884c\u989d\u5916\/\u6f5c\u5728\u5371\u9669\u52a8\u4f5c\uff08\u5982\u4ec5\u8981\u6c42\u6362\u60ac\u81c2\u5374\u79fb\u52a8\u4e86\u63a2\u9488\uff0c\u6216\u5728\u6307\u5b9a\u4efb\u52a1\u5916\u591a\u505a\u6b65\u9aa4\uff09\uff0c\u5373\u4fbf\u7ed3\u679c\u6b63\u786e\u4e5f\u6784\u6210\u5b89\u5168\u98ce\u9669\u3002\u8be5\u73b0\u8c61\u63d0\u793a\uff1aSDL\u9700\u65b0\u589e\u201c\u6307\u4ee4\u4e00\u81f4\u6027\u201d\u7ef4\u5ea6\u7684\u5b89\u5168\u6821\u9a8c\u3002<\/p>\n\n\n\n

\u4e94\u3001\u5b89\u5168\u4e0e\u5bf9\u9f50\uff1a\u53d7\u63a7\u6587\u6863\u3001\u6743\u9650\u5206\u7ea7\u4e0e\u62d2\u7edd\u5916\u90e8\u6539\u673a
\u4f5c\u8005\u5c06AFM\u64cd\u4f5c\u5206\u4e3a\u201c\u901a\u7528\u64cd\u4f5c\uff08\u6210\u50cf\u53c2\u6570\/\u9009\u533a\/\u5e38\u89c4\u79fb\u52a8\uff09\u201d\u4e0e\u201c\u5173\u952e\u64cd\u4f5c\uff08\u51fa\u5382\/\u6fc0\u5149\/\u538b\u7535\/\u70ed\u6821\u51c6\u7b49\uff09\u201d\uff0c\u4ec5\u5411LLM\u5f00\u653e\u901a\u7528\u64cd\u4f5c\u7684\u53d7\u63a7\u4ee3\u7801\u6587\u6863\uff0c\u5173\u952e\u64cd\u4f5c\u4fdd\u7559\u7ed9\u4eba\u5de5\u4e13\u5bb6\uff1b\u540c\u65f6\u7981\u6b62\u5916\u90e8\u5e93\u5b89\u88c5\u3001\u7cfb\u7edf\u4fee\u6539\uff0c\u5b9e\u6d4b\u5f53\u63d0\u793a\u5b89\u88c5\u7b2c\u4e09\u65b9\u5e93\u65f6\u80fd\u6b63\u786e\u5931\u8d25\uff1b\u76f8\u6bd4\u201c\u4eba\u5ba1\u73af\u201d\u65b9\u6848\uff0c\u8be5\u8bbe\u8ba1\u4f18\u5148\u4fdd\u6301\u9ad8\u901a\u91cf\uff0c\u4f46\u4e5f\u627f\u8ba4\u672a\u6765\u53ef\u63a5\u5165\u4eba\u7c7b\u5ba1\u67e5\u4ee5\u589e\u5f3a\u7a33\u5065\u6027\u3002<\/p>\n\n\n\n

\u516d\u3001\u771f\u5b9e\u5b9e\u9a8c\u5c55\u793a\uff1a\u4ecePID\u81ea\u4f18\u5316\u5230\u77f3\u58a8\u70ef\u5c42\u6570\u4e0e\u538b\u75d5\u8bc6\u522b
1\uff09PID\u81ea\u4f18\u5316\u4e0e\u6210\u50cf\u8d28\u91cf\uff1a\u7528\u9057\u4f20\u7b97\u6cd5\uff08\u4eba\u53e33\u300115\u4ee3\uff09\u4ee5\u201c\u524d\/\u540e\u626bSSIM\u6700\u5927\u5316\u201d\u4e3a\u9002\u5e94\u5ea6\uff0c\u5feb\u901f\u6536\u655b\u81f3SSIM>0.81\uff1b\u793a\u4f8b\u6700\u4f73\u53c2\u6570\u7ea6 P\u2248249\u3001I\u22488957\u3001D\u224826\uff0c\u5e76\u5728\u66f4\u5927\u626b\u63cf\u533a\u9a8c\u8bc1\u7a33\u5b9a\u8d28\u91cf\u3002\u76f8\u6bd4MSE\uff0cSSIM\u517c\u987e\u7ed3\u6784\/\u4eae\u5ea6\/\u5bf9\u6bd4\u5ea6\uff0c\u6297\u6f02\u79fb\u3001\u5bf9\u4f4e\u5206\u8fa8\u7387\u53cb\u597d\u3002
2\uff09\u9ad8\u5206\u8fa8\u53f0\u9636\u8fb9\u7f18\uff1a\u9488\u5bf9HOPG\u7684\u57fa\u7ebf\u7578\u53d8\uff0cAILA\u80fd\u57fa\u4e8e\u7279\u5f81\u5c3a\u5ea6\u81ea\u5224\u662f\u5426\u505a\u57fa\u7ebf\u6821\u6b63\uff0c\u5e76\u751f\u6210\u5b9a\u5236\u4ee3\u7801\uff08\u4f8b\u59825\u9636\u591a\u9879\u5f0f\u57fa\u7ebf+PID\u518d\u4f18\u5316\uff09\uff0c\u6700\u7ec8\u6e05\u6670\u89e3\u6790\u539f\u5b50\u7ea7\u53f0\u9636\uff1b\u5e76\u53ef\u6309\u9700\u7ed9\u51fa\u53f0\u9636\u9ad8\u5ea6\u6d4b\u91cf\u6d41\u7a0b\u3002
3\uff09\u8f7d\u8377\u4f9d\u8d56\u6469\u64e6\uff1a\u6309\u8bbe\u5b9a\u70b90.2\u21921.2 V\u3001\u6b65\u8fdb0.2 V\uff0cAILA\u5168\u81ea\u52a8\u5faa\u73af\u201c\u8bbe\u53c2\u2014\u6210\u50cf\u2014\u6469\u64e6\u5747\u503c\u8ba1\u7b97\u2014\u4f5c\u56fe\u201d\uff0c\u4ea7\u51fa\u539f\u59cb\u4f46\u53ef\u590d\u73b0\u5b9e\u9a8c\u66f2\u7ebf\uff1b\u4e14\u4f5c\u8005\u7cfb\u7edf\u8003\u5bdf\u63d0\u793a\u8bcd\u7c92\u5ea6\uff0c\u53d1\u73b0\u201c\u66f4\u660e\u786e\u3001\u4e0a\u4e0b\u6587\u66f4\u5145\u8db3\u201d\u7684\u63d0\u793a\u80fd\u663e\u8457\u63d0\u5347\u53ef\u9760\u6027\u3002
4\uff09\u77f3\u58a8\u70ef\u5c42\u6570\u4f30\u7b97\u4e0e\u538b\u75d5\u7c7b\u578b\uff1aAILA\u5728\u7528\u6237\u6846\u9009\u533a\u57df\u505a\u5206\u5272\uff0c\u63d0\u53d6\u6700\u5927\u8584\u7247\uff0c\u751f\u6210\u6c34\u5e73\u7ebf\u5256\u9762\u5e76\u8ba1\u7b97\u539a\u5ea6\uff1b\u793a\u4f8b\u539a\u5ea6\u2248161 nm\uff0c\u6309\u5355\u5c420.34 nm\u4f30\u7b97\u2248473\u5c42\uff1b\u5728\u538b\u75d5\u4efb\u52a1\u4e2d\uff0c\u57fa\u4e8e\u7ebf\u578b\u4e0e\u5bf9\u79f0\u8fb9\u7f18\u7279\u5f81\uff0c\u5224\u65ad\u4e3aVickers\uff08\u83f1\u9525\uff09\u800c\u975e\u5706\u9525\u7403\u5f62\u538b\u5934\u3002<\/p>\n\n\n\n

\u4e03\u3001\u65b9\u6cd5\u5b66\u7ec6\u8282\u8981\u70b9\uff08\u5229\u4e8e\u590d\u73b0\/\u8fc1\u79fb\uff09
\u2014 \u786c\u4ef6\/\u63a5\u53e3\uff1a\u4ee5 Nanosurf DriveAFM \u4e0ePython API\u4e3a\u4f8b\uff0c\u539f\u5219\u4e0a\u53ef\u8fc1\u79fb\u5230\u4efb\u4f55\u5177API\u7684AFM\u3002
\u2014 \u6587\u6863\u4e0eRAG<\/a>\uff1a\u4f9b\u5e94\u5546\u4ee3\u7801\u62bd\u53d6\u2192Python\u8bed\u4e49\u5207\u5757\u2192OpenAI embeddings\u2192Chroma\u68c0\u7d22\uff1b\u4ec5\u66b4\u9732\u201c\u901a\u7528\u64cd\u4f5c\u201d\u5b50\u96c6\u3002
\u2014 \u6267\u884c\u94fe\uff1a\u4ee3\u7801\u6267\u884c\u5668\u53d1\u751f\u5f02\u5e38\u65f6\uff0c\u81ea\u52a8\u56de\u4f20\u9519\u8bef\u5e76\u8fed\u4ee3\u4fee\u590d\uff08\u6700\u591a20\u8f6e\uff09\uff0c\u8d85\u8fc7\u9608\u503c\u5f52\u7c7b\u4e3a\u4ee3\u7801\u751f\u6210\u5931\u8d25\u3002
\u2014 \u6570\u636e\u5206\u6790\uff1a*.nid\u89e3\u6790\uff08NSFopen\uff09\uff0c\u5185\u7f6e\u7c97\u7cd9\u5ea6\/\u6469\u64e6\u516c\u5f0f\uff08\u542b\u524d\/\u540e\u626b\u914d\u5bf9\u6c42\u5747\u503c\uff09\uff0c\u5206\u5272\u7528Otsu\u9608\u503c\uff1b\u56fe\u50cf\u4f18\u5316\u91c7\u7528GA+SSIM\u3002<\/p>\n\n\n\n

\u516b\u3001\u8d21\u732e\u4e0e\u65b0\u9896\u6027
1\uff09\u4ece\u201c\u95ee\u7b54\u57fa\u51c6\u201d\u8f6c\u5411\u201c\u53ef\u6267\u884c\u57fa\u51c6\u201d\uff1aAFMBench\u8981\u6c42\u201c\u771f\u673a\u6267\u884c+\u591a\u73af\u8282\u534f\u540c\u201d\uff0c\u66f4\u8d34\u8fd1\u5b9e\u9a8c\u5ba4\u771f\u5b9e\u590d\u6742\u5ea6\u3002
2\uff09\u63d0\u51fa\u5e76\u91cf\u5316\u201csleepwalking\u201d\u5b89\u5168\u98ce\u9669\uff1a\u628a\u201c\u6307\u4ee4\u4e00\u81f4\u6027\/\u8d8a\u6743\u52a8\u4f5c\u201d\u7eb3\u5165SDL\u5bf9\u9f50\u8bae\u7a0b\u3002
3\uff09\u7528\u6570\u636e\u8bc1\u660e\u201c\u591a\u667a\u80fd\u4f53>\u5355\u667a\u80fd\u4f53\u201d\u7684\u534f\u540c\u4ef7\u503c\uff0c\u5e76\u63ed\u793a\u201c\u63d0\u793a\u8106\u5f31\u6027\u201d\u5728\u5b9e\u9a8c\u81ea\u52a8\u5316\u4e2d\u7684\u653e\u5927\u6548\u5e94\u3002
4\uff09\u5c55\u793a\u53ef\u843d\u5730\u7684AFM\u9ad8\u9636\u5b9e\u9a8c\uff08PID\u81ea\u4f18\u5316\u3001\u53f0\u9636\u89e3\u6790\u3001\u8f7d\u8377-\u6469\u64e6\u3001\u5c42\u6570\u4f30\u7b97\u3001\u538b\u75d5\u7c7b\u578b\uff09\uff0c\u9a8c\u8bc1\u7aef\u5230\u7aef\u95ed\u73af\u80fd\u529b\u3002<\/p>\n\n\n\n

\u4e5d\u3001\u5c40\u9650\u6027\u4e0e\u6539\u8fdb\u65b9\u5411
\u2014 \u4ee3\u7801\u751f\u6210\u4ecd\u662f\u9996\u8981\u5931\u6548\u6e90\uff1a\u5efa\u8bae\u5f15\u5165\u201c\u9886\u57df\u7ea6\u675f\u68c0\u67e5+\u5f62\u5f0f\u5316\u9a8c\u8bc1+\u7c7b\u578b\u5316\u5de5\u5177\u53c2\u6570\u534f\u8bae\u201d\uff0c\u964d\u4f4e\u8c03\u7528\/\u8bed\u4e49\u9519\u8bef\u3002
\u2014 \u6307\u4ee4\u4e00\u81f4\u6027\u4e0e\u6743\u9650\uff1a\u53ef\u53e0\u52a0\u201c\u4eba\u5ba1\u9608\u503c\u7b56\u7565\u201d\uff08\u5982\u5173\u952e\u52a8\u4f5c\/\u9ad8\u80fd\u7ea7\u98ce\u9669\u89e6\u53d1\u4eba\u5de5\u5ba1\u6279\uff09\u3001\u201c\u72b6\u6001\u673a\/\u536b\u58eb\u8f68\u9053\uff08guardrails\uff09\u201d\u3002
\u2014 \u63d0\u793a\u9c81\u68d2\uff1a\u6784\u5efa\u201c\u63d0\u793a\u7b49\u4ef7\u7c7b\u201d\u4e0e\u201c\u5bf9\u6297\u6270\u52a8\u201d\u6d4b\u8bd5\uff0c\u63a8\u52a8\u201c\u81ea\u52a8\u63d0\u793a\u5408\u6210\u4e0e\u9a8c\u8bc1\u201d\u3002
\u2014 \u8de8\u8bbe\u5907\u6cdb\u5316\uff1a\u5f53\u524d\u4ee5Nanosurf\u4e3a\u4f8b\uff0c\u5efa\u8bae\u6269\u5c55\u5230XRD\u3001\u62c9\u66fc\u3001\u8d28\u8c31\u7b49\u5e73\u53f0\uff0c\u9a8c\u8bc1\u901a\u7528\u7f16\u6392\u4e0e\u5de5\u5177\u62bd\u8c61\u5c42\u3002<\/p>\n\n\n\n

\u5341\u3001\u5bf9\u6750\u6599\/\u5b9e\u9a8c\u5ba4\u81ea\u52a8\u5316\u793e\u533a\u7684\u542f\u793a
\u2014 \u201c\u77e5\u8bc6\u2260\u6267\u884c\u201d\uff1a\u5728\u590d\u6742\u4eea\u5668\u60c5\u5883\u4e2d\uff0c\u5355\u7eaf\u9886\u57df\u95ee\u7b54\u9886\u5148\u5e76\u4e0d\u4fdd\u8bc1\u201c\u8de8\u5de5\u5177\u2014\u8de8\u73af\u8282\u2014\u5b89\u5168\u53ef\u6267\u884c\u201d\u7684\u80fd\u529b\u3002
\u2014 \u201c\u8bc4\u6d4b\u5148\u884c\u3001\u5b89\u5168\u4e3a\u4e0a\u201d\uff1a\u5728\u90e8\u7f72\u5230\u6602\u8d35\/\u8106\u5f31\u8bbe\u5907\u4e4b\u524d\uff0c\u5e94\u4ee5\u7c7b\u4f3cAFMBench\u7684\u201c\u7aef\u5230\u7aef\u53ef\u6267\u884c\u57fa\u51c6+\u5b89\u5168\u7ea2\u7ebf\u201d\u505a\u95f8\u95e8\u3002
\u2014 \u201c\u5e73\u53f0\u5de5\u7a0b\u5316\u201d\uff1a\u5c06\u6587\u6863\u4e0eAPI\u5c01\u88c5\u4e3a\u201c\u6700\u5c0f\u53ef\u5371\u5bb3\u63a5\u53e3\u201d\uff0c\u53e0\u52a0\u6743\u9650\u5206\u5c42\u4e0e\u56de\u6eda\/\u6c99\u7bb1\uff0c\u624d\u80fd\u5728SDL\u91cc\u653e\u5927LLM\u751f\u4ea7\u529b\u800c\u975e\u98ce\u9669\u3002<\/p>\n\n\n\n

\u5341\u4e00\u3001\u7ed3\u8bba
\u672c\u6587\u4ee5AFM\u4e3a\u4ee3\u8868\u573a\u666f\uff0c\u6784\u5efa\u4e86\u53ef\u6267\u884c\u7684SDL\u8bc4\u6d4b\u4f53\u7cfb\u4e0e\u591a\u667a\u80fd\u4f53\u6846\u67b6\u3002\u5b9e\u9a8c\u8868\u660e\uff1aGPT-4o\u5728\u201c\u8de8\u73af\u8282\u7f16\u6392+\u6548\u7387+\u51c6\u786e\u201d\u7684\u7efc\u5408\u6307\u6807\u4e0a\u66f4\u9002\u914d\u590d\u6742\u5b9e\u9a8c\u81ea\u52a8\u5316\uff1b\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u5e26\u6765\u663e\u8457\u589e\u76ca\uff1b\u4f46\u201c\u4ee3\u7801\u751f\u6210\u9519\u8bef+sleepwalking\u201d\u4ecd\u662f\u8d70\u5411\u53ef\u9760\u3001\u81ea\u4e3b\u79d1\u5b66\u5e73\u53f0\u7684\u5173\u952e\u74f6\u9888\u3002\u4f5c\u8005\u7ed9\u51fa\u4e86\u5b89\u5168\u8fb9\u754c\u7684\u52a1\u5b9e\u5de5\u7a0b\u65b9\u6848\uff0c\u5e76\u4ee5\u4e00\u7cfb\u5217\u771f\u5b9e\u5b9e\u9a8c\u5b8c\u6210\u201c\u4ece\u95ee\u9898\u5230\u7ed3\u8bba\u201d\u7684\u95ed\u73af\uff0c\u5960\u5b9a\u4e86SDL\u8d70\u5411\u53ef\u8bc4\u4f30\u3001\u53ef\u63a7\u3001\u53ef\u5bf9\u9f50\u7684\u57fa\u7840\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6b63\u88ab\u7528\u4e8e\u6784\u5efa\u201c\u81ea\u9a71\u52a8\u5b9e\u9a8c\u5ba4\uff08self-driving laboratories, SDL […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[8,36],"tags":[39,94,86],"class_list":["post-6407","post","type-post","status-publish","format-standard","hentry","category-tech","category-36","tag-ai","tag-agentic-ai","tag-llm"],"rttpg_featured_image_url":null,"rttpg_author":{"display_name":"NullThought","author_link":"https:\/\/nullthought.net\/?author=1"},"rttpg_comment":0,"rttpg_category":"Tech<\/a> \u79d1\u5b66<\/a>","rttpg_excerpt":"\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u6b63\u88ab\u7528\u4e8e\u6784\u5efa\u201c\u81ea\u9a71\u52a8\u5b9e\u9a8c\u5ba4\uff08self-driving laboratories, SDL…","_links":{"self":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/6407","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6407"}],"version-history":[{"count":1,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/6407\/revisions"}],"predecessor-version":[{"id":6409,"href":"https:\/\/nullthought.net\/index.php?rest_route=\/wp\/v2\/posts\/6407\/revisions\/6409"}],"wp:attachment":[{"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6407"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6407"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/nullthought.net\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6407"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}