{"id":216601,"date":"2021-01-23T06:30:44","date_gmt":"2021-01-22T22:30:44","guid":{"rendered":"\/\/m.iemloyee.com\/?p=216601"},"modified":"2021-01-22T11:27:10","modified_gmt":"2021-01-22T03:27:10","slug":"%e5%a4%a9%e6%b4%a5%e7%90%86%e5%b7%a5%e5%a4%a7%e5%ad%a6%e5%8c%97%e4%ba%ac%e5%a4%a7%e5%ad%a6acs-nano%ef%bc%9a%e4%b8%80%e7%a7%8d%e5%8f%af%e5%a4%a7%e8%a7%84%e6%a8%a1%e5%88%b6%e5%a4%87%e7%9a%84%e6%9f%94","status":"publish","type":"post","link":"\/\/m.iemloyee.com\/?p=216601","title":{"rendered":"\u5929\u6d25\u7406\u5de5\u5927\u5b66&\u5317\u4eac\u5927\u5b66ACS Nano\uff1a\u4e00\u79cd\u53ef\u5927\u89c4\u6a21\u5236\u5907\u7684\u67d4\u6027\u5168\u5149\u8c03\u63a7\u7a81\u89e6\u5668\u4ef6"},"content":{"rendered":"

\u3010<\/b><\/strong>\u5f15\u8a00<\/b><\/strong>\u3011<\/b><\/strong><\/p>\n

\u8ba1\u7b97\u673a\u662f\u4fe1\u606f\u6280\u672f\u65f6\u4ee3\u6700\u4f1f\u5927\u7684\u53d1\u660e\uff0c\u7136\u800c\u5728\u5373\u5c06\u8fc8\u5165\u4eba\u5de5\u667a\u80fd\u65f6\u4ee3\u7684\u5f53\u4e0b\uff0c\u4f20\u7edf\u7684\u51af\u8bfa\u4f9d\u66fc\u8ba1\u7b97\u673a\u6b63\u9762\u4e34\u7740\u4e25\u5cfb\u7684\u6311\u6218\uff1a\u7269\u7406\u5206\u79bb\u7684\u5904\u7406\u5668\u548c\u5b58\u50a8\u5668\u5bfc\u81f4\u8ba1\u7b97\u5ef6\u8fdf\u548c\u5927\u91cf\u7684\u80fd\u8017\u3002\u8fd1\u5e74\u6765\u88ab\u79d1\u5b66\u5bb6\u5e7f\u6cdb\u5173\u6ce8\u7684\u795e\u7ecf\u5f62\u6001\u8ba1\u7b97(Neuromorphic computing)\u5728\u5904\u7406\u590d\u6742\u7684\u975e\u7ed3\u6784\u6027\u4fe1\u606f\uff0c\u4f8b\u5982\u56fe\u50cf\u3001\u58f0\u97f3\u3001\u89c6\u9891\u3001\u6587\u5b57\u7b49\uff0c\u5177\u6709\u8ba1\u7b97\u901f\u5ea6\u5feb\u3001\u5bb9\u9519\u80fd\u529b\u5f3a\u3001\u80fd\u8017\u4f4e\u7b49\u7279\u70b9\uff0c\u88ab\u8ba4\u4e3a\u662f\u4eba\u5de5\u667a\u80fd\u65f6\u4ee3\u53d6\u4ee3\u4f20\u7edf\u51af\u8bfa\u4f9d\u66fc\u8ba1\u7b97\u673a\u7684\u6709\u529b\u7ade\u4e89\u8005\u3002\u4eba\u5de5\u7a81\u89e6\u5668\u4ef6\u662f\u5b9e\u73b0\u795e\u7ecf\u5f62\u6001\u8ba1\u7b97\u7684\u57fa\u672c\u5355\u5143\uff0c\u8fd1\u5e74\u6765\u5173\u4e8e\u4eba\u5de5\u7a81\u89e6\u5668\u4ef6\u7684\u7814\u7a76\u6210\u4e3a\u7535\u5b50\u5668\u4ef6\u9886\u57df\u7684\u524d\u6cbf\u70ed\u70b9\u3002\u4eba\u7c7b80%\u7684\u4fe1\u606f\u662f\u901a\u8fc7\u89c6\u89c9\u4ece\u5916\u754c\u83b7\u53d6\u7684\uff0c\u56e0\u6b64\u6a21\u62df\u4eba\u7c7b\u89c6\u89c9\u7cfb\u7edf\u5bf9\u4e8e\u4eba\u5de5\u667a\u80fd\u7684\u53d1\u5c55\u81f3\u5173\u91cd\u8981\u3002\u5149\u7535\u7a81\u89e6\u5668\u4ef6\u76f4\u63a5\u91c7\u7528\u5149\u4fe1\u53f7\u5bf9\u5668\u4ef6\u7684\u7a81\u89e6\u6743\u91cd\u8fdb\u884c\u8c03\u63a7\uff0c\u5c06\u5149\u4fe1\u53f7\u63a2\u6d4b\u4e0e\u7a81\u89e6\u529f\u80fd\u96c6\u4e8e\u4e00\u8eab\uff0c\u6781\u5927\u7b80\u5316\u4e86\u4eba\u5de5\u89c6\u89c9\u7cfb\u7edf\u7684\u7ed3\u6784\uff0c\u6d88\u9664\u4e86\u4fe1\u606f\u5728\u4e0d\u540c\u5668\u4ef6\u4e4b\u95f4\u4f20\u9012\u5bfc\u81f4\u7684\u65f6\u95f4\u5ef6\u8fdf\u548c\u80fd\u8017\u3002\u6b64\u5916\uff0c\u76f8\u6bd4\u4e8e\u7535\u4fe1\u53f7\u8c03\u5236\uff0c\u5149\u8109\u51b2\u4f5c\u4e3a\u4e00\u79cd\u4f4e\u4e32\u6270\u3001\u9ad8\u5e26\u5bbd\u7684\u8c03\u5236\u624b\u6bb5\u53ef\u4ee5\u5bf9\u5668\u4ef6\u7a81\u89e6\u6743\u91cd\u8fdb\u884c\u9ad8\u901f\u4f4e\u80fd\u8017\u7684\u8c03\u8282\u3002\u7136\u800c\uff0c\u76ee\u524d\u7edd\u5927\u591a\u6570\u5149\u7535\u7a81\u89e6\u5668\u4ef6\u4ec5\u5177\u6709\u5355\u5411\u5149\u54cd\u5e94\uff0c\u4ecd\u9700\u8981\u901a\u8fc7\u5149\u4fe1\u53f7\u548c\u7535\u4fe1\u53f7\u7684\u8026\u5408\u624d\u80fd\u5b9e\u73b0\u53ef\u91cd\u6784\u7684\u5174\u594b\u6027\u548c\u6291\u5236\u6027\u7a81\u89e6\u884c\u4e3a\u3002\u56e0\u6b64\uff0c\u5f00\u53d1\u4e00\u79cd\u53cc\u5411\u5149\u54cd\u5e94\u7684\u7a81\u89e6\u5668\u4ef6\u4ee5\u5b9e\u73b0\u5168\u5149\u8c03\u63a7\u7a81\u89e6\u884c\u4e3a\u6709\u52a9\u4e8e\u4f4e\u529f\u8017\u7a81\u89e6\u795e\u7ecf\u7f51\u7edc\u7684\u53d1\u5c55\u3002<\/p>\n

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

\u8fd1\u65e5\uff0c\u5929\u6d25\u7406\u5de5\u5927\u5b66\u9c81\u7edf\u90e8\u6559\u6388\u548c\u9648\u65ed\u4e1c\u526f\u7814\u7a76\u5458\uff0c\u8054\u5408\u5317\u4eac\u5927\u5b66\u5f20\u9526\u9662\u58eb\uff08\u5171\u540c\u901a\u8baf\u4f5c\u8005\uff09\u56e2\u961f\u5728ACS Nano\u4e0a\u53d1\u8868\u4e86\u4e00\u7bc7\u9898\u4e3a\u201cLarge-Scale and Flexible Optical Synapses for Neuromorphic Computing and Integrated Visible Information Sensing Memory Processing\u201d\u7684\u6587\u7ae0\u3002\u8be5\u8bfe\u9898\u7ec4\u57286 cm \u00d7 6 cm\u7684\u77f3\u58a8\u70ef\u8868\u9762\u76f4\u63a5\u5408\u6210\u4e86\u8298\u57fa\u77f3\u58a8\u7094\uff08Pyr-GDY\uff09\uff0c\u5e76\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8ePyr-GDY\/\u77f3\u58a8\u70ef\/PbS\u91cf\u5b50\u70b9\uff08Pyr-GDY\/Gr\/PbS- QD\uff09\u5782\u76f4\u5f02\u8d28\u7ed3\u6784\u7684\u53cc\u7aef\u5149\u5b66\u7a81\u89e6\u3002\u5176\u4e2dPyr-GDY\u548cPbS\u91cf\u5b50\u70b9\u8bf1\u5bfc\u7684\u5149\u6805\u6548\u5e94\u4f7f\u5f97\u8be5\u5668\u4ef6\u5177\u6709\u53cc\u5411\u5149\u54cd\u5e94\uff0c\u5668\u4ef6\u5728980 nm\u548c450 nm\u5149\u6fc0\u53d1\u4e0b\u53ef\u5b9e\u73b0\u5174\u594b\u6027\u548c\u6291\u5236\u6027\u7a81\u89e6\u884c\u4e3a\u3002\u5f97\u76ca\u4e8e\u7b80\u5355\u7684\u5668\u4ef6\u7ed3\u6784\u4ee5\u53caPyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u7684\u4f4e\u7ef4\u7279\u6027\uff0c\u8be5\u5668\u4ef6\u5728\u5f2f\u66f2\u6d4b\u8bd5\u4e2d\u8868\u73b0\u51fa\u826f\u597d\u7684\u7a33\u5b9a\u6027\u548c\u53ef\u9760\u6027\u3002\u7531\u4e8e\u5236\u5907\u7684\u6676\u5706\u5c3a\u5bf8Pyr-GDY\/Gr\/PdS-QD\u8584\u819c\u5728\u5b8f\u89c2\u5c3a\u5ea6\u4e0a\u5177\u6709\u826f\u597d\u7684\u5747\u5300\u6027\uff0c\u53ef\u4ee5\u5b9e\u73b0\u5927\u89c4\u6a21\u7684\u5149\u5b66\u7a81\u89e6\u5668\u4ef6\u9635\u5217\u7684\u5236\u4f5c\uff0c\u7528\u4e8e\u6784\u7b51\u7269\u7406\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u548c\u4eba\u5de5\u89c6\u89c9\u7cfb\u7edf\u3002\u4f5c\u8005\u5229\u7528\u8be5\u5668\u4ef6\u6a21\u62df\u4e86\u624b\u5199\u4f53\u56fe\u50cf\u8bc6\u522b\uff0c\u8868\u73b0\u51fa\u8f83\u9ad8\u7684\u8bc6\u522b\u51c6\u786e\u7387\u548c\u6548\u7387\uff0c\u4ee5\u53ca\u826f\u597d\u7684\u5bb9\u9519\u80fd\u529b\u3002\u53e6\u5916\uff0c\u57fa\u4e8e\u8be5\u5668\u4ef6\u7684\u4eba\u5de5\u89c6\u89c9\u7cfb\u7edf\u96c6\u6210\u4e86\u4fe1\u606f\u611f\u77e5-\u5b58\u50a8-\u5904\u7406\u529f\u80fd\uff0c\u5728\u5355\u4e00\u5668\u4ef6\u4e0a\u5b9e\u73b0\u4e86\u5b9e\u65f6\u56fe\u50cf\u68c0\u6d4b\u3001\u539f\u4f4d\u5b58\u50a8\u548c\u56fe\u50cf\u5904\u7406\uff0c\u907f\u514d\u4e86\u6570\u636e\u8f6c\u6362\u548c\u4f20\u8f93\u5e26\u6765\u7684\u80fd\u91cf\u6d88\u8017\u548c\u65f6\u95f4\u5ef6\u8fdf\u3002\u6700\u540e\uff0c\u8be5\u5668\u4ef6\u91c7\u7528\u5168\u5149\u5b66\u624b\u6bb5\u5b9e\u73b0\u4e86\u903b\u8f91\u8fd0\u7b97\uff08\u201c\u4e0e\u201d\u3001\u201c\u6216\u201d\u3001\u201c\u4e0e\u975e\u201d\u3001\u201c\u6216\u975e\u201d\u548c\u201c\u5f02\u6216\u201d\uff09\u548c\u8054\u60f3\u5b66\u4e60\u3002<\/p>\n

\u3010<\/b><\/strong>\u56fe\u6587\u5bfc\u8bfb<\/b><\/strong>\u3011<\/b><\/strong><\/p>\n

\u56fe1 Pyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u7684\u8868\u5f81<\/p>\n

\"\"<\/p>\n

a) Pyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u7684\u5149\u5b66\u56fe\uff1b<\/p>\n

b) 6 cm \u00d7 6 cm Pyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u8584\u819c\u7167\u7247\uff1b<\/p>\n

c) Pyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u62c9\u66fc\u8868\u5f81\uff1b<\/p>\n

d) Pyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u5149\u5438\u6536\u8c31\uff1b<\/p>\n

e) \u6709\u5149\u7167\u548c\u65e0\u5149\u6761\u4ef6\u4e0b\u7684\u5668\u4ef6\u7684\u8f6c\u79fb\u7279\u6027\uff1b<\/p>\n

f) Pyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u6784\u5728(I)\u6697\u73af\u5883\u3001(II) 450 nm\u548c(III) 980 nm\u7167\u5c04\u4e0b\u7684\u80fd\u5e26\u56fe\u3002<\/p>\n

\u56fe2 Pyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u7684\u7a81\u89e6\u7279\u6027<\/p>\n

\"\"<\/p>\n

a) \u5de6\u56fe\uff1a\u751f\u7269\u795e\u7ecf\u7f51\u7edc\u548c\u7a81\u89e6\u7684\u793a\u610f\u56fe\uff0c\u53f3\u56fe\uff1a\u5149\u7a81\u89e6\u7684\u7b80\u5316\u7535\u8def\uff1b<\/p>\n

b) \u91c7\u7528\u6ce2\u957f\u5206\u522b\u4e3a980 nm\u548c450 nm\u7684\u5149\u8109\u51b2\u89e6\u53d1EPSC\u548cIPSC\uff1b<\/p>\n

c) \u91c7\u7528\u6ce2\u957f\u5206\u522b\u4e3a980 nm\u548c450 nm\u7684\u5149\u8109\u51b2\u89e6\u53d1\u7684PPF\uff1b<\/p>\n

d) \u5206\u522b\u5728980 nm\u548c450 nm\u7684\u5149\u6ce2\u957f\u4e0b\uff0cPPF-\u0394t\u5173\u7cfb\u56fe\uff1b<\/p>\n

e) \u8109\u51b2\u6570\u91cf\u4f9d\u8d56\u7684EPSC\u548cIPSC;<\/p>\n

f) \u8109\u51b2\u9891\u7387\u4f9d\u8d56\u7684EPSC\u548cIPSC\u3002<\/p>\n

\u56fe3 Pyr-GDY\/Gr\/PbS-QD\u5f02\u8d28\u7ed3\u7684\u67d4\u6027\u7279\u6027<\/p>\n

\"\"<\/b><\/strong><\/p>\n

a,b) \u67d4\u6027PET\u886c\u5e95\u4e0a\u5236\u5907\u7684\u5149\u5b66\u7a81\u89e6\u9635\u5217\u7684\u793a\u610f\u56fe\u548c\u7167\u7247\uff1b<\/p>\n

c,d) \u4e0d\u540c\u62c9\u4f38\u548c\u538b\u7f29\u5e94\u53d8\u4e0b\u0394PSC\u548cPPF\u7684\u53d8\u5316\uff1b<\/p>\n

e) \u5728\u5e73\u6574\u3001\u5f2f\u66f2\u548c\u6298\u53e0\u72b6\u6001\u4e0b\uff0c\u5668\u4ef6\u7684LTP\/LTD\u5faa\u73af\u66f2\u7ebf\uff1b<\/p>\n

f) \u4e0d\u540c\u5f2f\u66f2\u6b21\u6570\u4e0bGmax<\/sub>\u548cGmin<\/sub>\u7684\u53d8\u5316\u3002<\/p>\n

\u56fe4 \u795e\u7ecf\u5f62\u6001\u8ba1\u7b97\u7684\u6a21\u62df<\/p>\n

\"\"<\/p>\n

a) LTP\/LTD\u66f2\u7ebf\u7684\u5149\u5b66\u8bad\u7ec3\u793a\u610f\u56fe\uff1b<\/p>\n

b) \u5728\u5e73\u6574\u3001\u62c9\u4f38\u548c\u538b\u7f29\u72b6\u6001\u4e0b\uff0c\u65bd\u52a0\u589e\u5f3a\u548c\u6291\u5236\u8109\u51b2\u540e\u5149\u7a81\u89e6\u7684LTP\/LTD\u7279\u5f81\uff1b<\/p>\n

c) \u7528\u4e8e\u8bc6\u522b28 \u00d7 28\u50cf\u7d20\u624b\u5199\u6570\u5b57\u7684\u4e09\u5c42\u795e\u7ecf\u7f51\u7edc\u539f\u7406\u56fe\uff1b<\/p>\n

d) \u7a81\u89e6\u6743\u91cd\u7684\u793a\u610f\u56fe\uff1b<\/p>\n

e) \u4e0d\u540c\u566a\u58f0\u6bd4\uff080 – 90%\uff09\u7684\u624b\u5199\u6570\u5b57\uff1b<\/p>\n

f) 28 \u00d7 28\u50cf\u7d20\u65e0\u566a\u58f0\u624b\u5199\u6570\u5b57\u56fe\u50cf\u7684\u8bc6\u522b\u7cbe\u5ea6\u968f\u8bad\u7ec3\u5468\u671f\u7684\u53d8\u5316\uff1b<\/p>\n

g,h) \u5e73\u6574\u72b6\u6001\u4e0b\uff0c\u795e\u7ecf\u7f51\u7edc\u7684\u8bc6\u522b\u7cbe\u5ea6\u968f\u8bad\u7ec3\u5468\u671f\u548c\u566a\u58f0\u50cf\u7d20\u6bd4\u4f8b\u7684\u53d8\u5316\u3002<\/p>\n

\u56fe5 \u5149\u5b66\u7a81\u89e6\u9635\u5217\u7684\u89c6\u89c9\u4fe1\u606f\u611f\u77e5\u8bb0\u5fc6\u5904\u7406\u7cfb\u7edf<\/p>\n

\"\"<\/p>\n

\u00a0<\/b><\/strong>a) \u7528\u4e8e\u56fe\u50cf\u611f\u77e5\u3001\u8bb0\u5fc6\u548c\u5904\u7406\u7684\u4eba\u7c7b\u89c6\u89c9\u7cfb\u7edf\u793a\u610f\u56fe\uff1b<\/p>\n

b-d) 7\u00d76\u5149\u5b66\u7a81\u89e6\u9635\u5217\u5728\u521d\u59cb\u72b6\u6001\u4e0b\u3001150\u6b21\u5149\u8bad\u7ec3\u540e\u4ee5\u53ca\u5149\u8bad\u7ec3\u7ed3\u675f1000 s\u540e\u7684\u7535\u5bfc\u56fe\uff1b<\/p>\n

e) \u672a\u77e5\u56fe\u50cf\u4e0e\u53c2\u8003\u56fe\u50cf\u7684\u5bf9\u6bd4\u548c\u8bc6\u522b\u3002<\/p>\n

\u56fe6 \u5149\u903b\u8f91\u5e94\u7528<\/p>\n

\"\"<\/p>\n

a) \u5149\u7a81\u89e6\u903b\u8f91\u529f\u80fd\u7684\u539f\u7406\u56fe\uff1b<\/p>\n

b) \u201c\u6216\u201d\u548c\u201c\u4e0e\u201d\u903b\u8f91\u529f\u80fd\uff1b<\/p>\n

c) \u201c\u6216\u975e\u201d\u548c\u201c\u4e0e\u975e\u201d\u903b\u8f91\u529f\u80fd\uff1b<\/p>\n

d) \u201c\u5f02\u6216\u201d\u903b\u8f91\u529f\u80fd\uff1b<\/p>\n

e) \u8054\u60f3\u5b66\u4e60\u529f\u80fd\u3002<\/p>\n

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

\u7efc\u4e0a\u6240\u8ff0\uff0c\u4f5c\u8005\u63d0\u51fa\u4e86\u4e00\u79cd\u57fa\u4e8ePyr-GDY\/Gr\/PbS\u91cf\u5b50\u70b9\u5782\u76f4\u5f02\u8d28\u7ed3\u7684\u5168\u5149\u8c03\u5236\u7a81\u89e6\u5668\u4ef6\u3002\u8be5\u5668\u4ef6\u53ef\u4ee5\u901a\u8fc7\u5149\u5b66\u624b\u6bb5\u5bf9\u5668\u4ef6\u8fdb\u884c\u8c03\u5236\u5b9e\u73b0\u5174\u594b\u6027\u548c\u6291\u5236\u6027\u7a81\u89e6\u884c\u4e3a\u3002\u4f5c\u8005\u5229\u7528\u6240\u5236\u5907\u7684\u6676\u5706\u5c3a\u5bf8\u7684Pyr-GDY\/Gr\/PbS\u5f02\u8d28\u7ed3\u6784\u7b51\u4e86\u5927\u89c4\u6a21\u5668\u4ef6\u9635\u5217\uff0c\u7814\u7a76\u4e86\u5176\u5728\u795e\u7ecf\u5f62\u6001\u8ba1\u7b97\u548c\u4eba\u5de5\u89c6\u89c9\u7cfb\u7edf\u4e2d\u7684\u5e94\u7528\u524d\u666f\u3002\u8fd9\u662f\u7b2c\u4e00\u79cd\u5177\u6709\u5927\u89c4\u6a21\u5e94\u7528\u524d\u666f\u7684\u5168\u5149\u8c03\u63a7\u7a81\u89e6\u5668\u4ef6\u3002<\/p>\n

\u6587\u732e\u94fe\u63a5\uff1aLarge-Scale and Flexible Optical Synapses for\u00a0Neuromorphic Computing and Integrated\u00a0Visible Information Sensing Memory\u00a0Processing,\u00a02021, ACS Nano.<\/p>\n

https:\/\/doi.org\/10.1021\/acsnano.0c08921<\/p>\n

\u672c\u6587\u7531\u4f5c\u8005\u6295\u7a3f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

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