{"title":"掺杂聚合物的高场传导模型","authors":"X. Qi, S. Boggs","doi":"10.1109/ELINSL.2002.995939","DOIUrl":null,"url":null,"abstract":"M.M. Perlmann (1989) has published models for conduction with \"traps\" (potential wells in the range of 0.8 eV) and with a combination of \"traps\" and \"hopping sites\" (potential wells in the range of 0.3 eV). However, the model for the latter does not extrapolate into the former as the number of hopping sites goes to zero. As a result, the conductivity cannot be computed for arbitrary densities of traps and hopping sites. A model has been developed based on quantum tunneling between the nearest neighbor and next nearest neighbor \"traps\" and \"hopping sites\" to calculate the hopping-induced conductivity, especially at high electric fields. The results are compared with Perlman's data.","PeriodicalId":10532,"journal":{"name":"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)","volume":"23 1","pages":"313-316"},"PeriodicalIF":0.0000,"publicationDate":"2002-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Model for high field conduction in doped polymers\",\"authors\":\"X. Qi, S. Boggs\",\"doi\":\"10.1109/ELINSL.2002.995939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"M.M. Perlmann (1989) has published models for conduction with \\\"traps\\\" (potential wells in the range of 0.8 eV) and with a combination of \\\"traps\\\" and \\\"hopping sites\\\" (potential wells in the range of 0.3 eV). However, the model for the latter does not extrapolate into the former as the number of hopping sites goes to zero. As a result, the conductivity cannot be computed for arbitrary densities of traps and hopping sites. A model has been developed based on quantum tunneling between the nearest neighbor and next nearest neighbor \\\"traps\\\" and \\\"hopping sites\\\" to calculate the hopping-induced conductivity, especially at high electric fields. The results are compared with Perlman's data.\",\"PeriodicalId\":10532,\"journal\":{\"name\":\"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)\",\"volume\":\"23 1\",\"pages\":\"313-316\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2002-04-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELINSL.2002.995939\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Conference Record of the the 2002 IEEE International Symposium on Electrical Insulation (Cat. No.02CH37316)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELINSL.2002.995939","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
M.M. Perlmann (1989) has published models for conduction with "traps" (potential wells in the range of 0.8 eV) and with a combination of "traps" and "hopping sites" (potential wells in the range of 0.3 eV). However, the model for the latter does not extrapolate into the former as the number of hopping sites goes to zero. As a result, the conductivity cannot be computed for arbitrary densities of traps and hopping sites. A model has been developed based on quantum tunneling between the nearest neighbor and next nearest neighbor "traps" and "hopping sites" to calculate the hopping-induced conductivity, especially at high electric fields. The results are compared with Perlman's data.