{"title":"统计电路仿真与基于测量的有源器件模型:对过程控制和集成电路可制造性的影响","authors":"D. Root, D. McGinty, B. Hughes","doi":"10.1109/GAAS.1995.528976","DOIUrl":null,"url":null,"abstract":"This paper presents a new approach to statistical active circuit design which unifies device parametric-based process control and non-parametric circuit simulation. Predictions of circuit sensitivity to process variation and yield-loss of circuits fabricated in two different GaAs IC processes are described. The simulations make use of measurement-based active device models which are not formulated in terms of conventional parametric statistical variables. The technique is implemented in commercially available simulation software (HP MDS).","PeriodicalId":422183,"journal":{"name":"GaAs IC Symposium IEEE Gallium Arsenide Integrated Circuit Symposium 17th Annual Technical Digest 1995","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"13","resultStr":"{\"title\":\"Statistical circuit simulation with measurement-based active device models: implications for process control and IC manufacturability\",\"authors\":\"D. Root, D. McGinty, B. Hughes\",\"doi\":\"10.1109/GAAS.1995.528976\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a new approach to statistical active circuit design which unifies device parametric-based process control and non-parametric circuit simulation. Predictions of circuit sensitivity to process variation and yield-loss of circuits fabricated in two different GaAs IC processes are described. The simulations make use of measurement-based active device models which are not formulated in terms of conventional parametric statistical variables. The technique is implemented in commercially available simulation software (HP MDS).\",\"PeriodicalId\":422183,\"journal\":{\"name\":\"GaAs IC Symposium IEEE Gallium Arsenide Integrated Circuit Symposium 17th Annual Technical Digest 1995\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-10-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"13\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"GaAs IC Symposium IEEE Gallium Arsenide Integrated Circuit Symposium 17th Annual Technical Digest 1995\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/GAAS.1995.528976\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"GaAs IC Symposium IEEE Gallium Arsenide Integrated Circuit Symposium 17th Annual Technical Digest 1995","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/GAAS.1995.528976","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical circuit simulation with measurement-based active device models: implications for process control and IC manufacturability
This paper presents a new approach to statistical active circuit design which unifies device parametric-based process control and non-parametric circuit simulation. Predictions of circuit sensitivity to process variation and yield-loss of circuits fabricated in two different GaAs IC processes are described. The simulations make use of measurement-based active device models which are not formulated in terms of conventional parametric statistical variables. The technique is implemented in commercially available simulation software (HP MDS).