{"title":"一种改进的金属氧化物忆阻器模型","authors":"V. Mladenov, S. Kirilov","doi":"10.1109/mocast54814.2022.9837519","DOIUrl":null,"url":null,"abstract":"The memristor is a new and promising electronic memory element and could be a possible replacement for the present CMOS components. Due to its nano size, low energy usage and memory effect, it could be used in neural nets, memory crossbars, reconfigurable analogue and digital devices and other electronic schemes. In this paper, a simple, fast functioning modified metal oxide memristor model is suggested. Its corresponding LTSPICE library model is generated and successfully analyzed in a simple neural network. The model’s behavior is in accordance with the basic fingerprints of the memristor elements. Its proper operation and applicability in memristor-based devices is established.","PeriodicalId":122414,"journal":{"name":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Modified Metal Oxide Memristor Model\",\"authors\":\"V. Mladenov, S. Kirilov\",\"doi\":\"10.1109/mocast54814.2022.9837519\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The memristor is a new and promising electronic memory element and could be a possible replacement for the present CMOS components. Due to its nano size, low energy usage and memory effect, it could be used in neural nets, memory crossbars, reconfigurable analogue and digital devices and other electronic schemes. In this paper, a simple, fast functioning modified metal oxide memristor model is suggested. Its corresponding LTSPICE library model is generated and successfully analyzed in a simple neural network. The model’s behavior is in accordance with the basic fingerprints of the memristor elements. Its proper operation and applicability in memristor-based devices is established.\",\"PeriodicalId\":122414,\"journal\":{\"name\":\"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/mocast54814.2022.9837519\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 11th International Conference on Modern Circuits and Systems Technologies (MOCAST)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/mocast54814.2022.9837519","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The memristor is a new and promising electronic memory element and could be a possible replacement for the present CMOS components. Due to its nano size, low energy usage and memory effect, it could be used in neural nets, memory crossbars, reconfigurable analogue and digital devices and other electronic schemes. In this paper, a simple, fast functioning modified metal oxide memristor model is suggested. Its corresponding LTSPICE library model is generated and successfully analyzed in a simple neural network. The model’s behavior is in accordance with the basic fingerprints of the memristor elements. Its proper operation and applicability in memristor-based devices is established.
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