{"title":"自组装纳米阵列计算的进化路径","authors":"S. Benjamin","doi":"10.1109/CEC.2008.4631216","DOIUrl":null,"url":null,"abstract":"Ordered nanoarrays, i.e. regular patterns of quantum structures at the nanometre scale, can now be synthesized in a range of systems. In this paper I study a form of array computation where the internal dynamics are driven by intrinsic cell-cell interactions and global optical pulses addressing entire structure indiscriminately. The array would need to be dasiawiredpsila to conventional technologies only at its boundary. Any self-assembled array would have a unique set of defects, therefore I employ an ab initio evolutionary process to subsume such flaws without any need to determine their location or nature. The approach succeeds for various forms of physical interaction within the array.","PeriodicalId":328803,"journal":{"name":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Evolutionary route to computation in self-assembled nanoarrays\",\"authors\":\"S. Benjamin\",\"doi\":\"10.1109/CEC.2008.4631216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ordered nanoarrays, i.e. regular patterns of quantum structures at the nanometre scale, can now be synthesized in a range of systems. In this paper I study a form of array computation where the internal dynamics are driven by intrinsic cell-cell interactions and global optical pulses addressing entire structure indiscriminately. The array would need to be dasiawiredpsila to conventional technologies only at its boundary. Any self-assembled array would have a unique set of defects, therefore I employ an ab initio evolutionary process to subsume such flaws without any need to determine their location or nature. The approach succeeds for various forms of physical interaction within the array.\",\"PeriodicalId\":328803,\"journal\":{\"name\":\"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEC.2008.4631216\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEC.2008.4631216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolutionary route to computation in self-assembled nanoarrays
Ordered nanoarrays, i.e. regular patterns of quantum structures at the nanometre scale, can now be synthesized in a range of systems. In this paper I study a form of array computation where the internal dynamics are driven by intrinsic cell-cell interactions and global optical pulses addressing entire structure indiscriminately. The array would need to be dasiawiredpsila to conventional technologies only at its boundary. Any self-assembled array would have a unique set of defects, therefore I employ an ab initio evolutionary process to subsume such flaws without any need to determine their location or nature. The approach succeeds for various forms of physical interaction within the array.