{"title":"人工突触的进展:萤石结构铁电体的作用","authors":"P.R. Sekhar Reddy","doi":"10.1016/j.nwnano.2025.100074","DOIUrl":null,"url":null,"abstract":"<div><div>In today's world, the rise of big data demands a new computing paradigm beyond the von Neumann architecture to handle massive datasets effectively. Neuromorphic computing, inspired by the synaptic plasticity of biological synapses, has emerged as a solution. Artificial synapses (ASs) in neuromorphic systems replicate synaptic functions like potentiation/depression, short-/long-term plasticity, and spike-time-dependent plasticity. Initial research on fluorite-structured ferroelectrics focused on understanding ferroelectricity and improving device performance. Since the discovery of ferroelectricity in hafnium-zirconium oxide in 2011, these materials have gained attention for their scalability and compatibility with CMOS technologies. This review explores advances in fluorite-structured ferroelectric ASs, including two-terminal switchable diodes, ferroelectric-tunnel junctions, three-terminal field-effect transistors, and thin-film transistors. Additionally, we examine future challenges and prospects for developing ferroelectric-based ASs for neuromorphic computing.</div></div>","PeriodicalId":100942,"journal":{"name":"Nano Trends","volume":"9 ","pages":"Article 100074"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Advancements in artificial synapses: The role of fluorite–structured ferroelectrics\",\"authors\":\"P.R. Sekhar Reddy\",\"doi\":\"10.1016/j.nwnano.2025.100074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>In today's world, the rise of big data demands a new computing paradigm beyond the von Neumann architecture to handle massive datasets effectively. Neuromorphic computing, inspired by the synaptic plasticity of biological synapses, has emerged as a solution. Artificial synapses (ASs) in neuromorphic systems replicate synaptic functions like potentiation/depression, short-/long-term plasticity, and spike-time-dependent plasticity. Initial research on fluorite-structured ferroelectrics focused on understanding ferroelectricity and improving device performance. Since the discovery of ferroelectricity in hafnium-zirconium oxide in 2011, these materials have gained attention for their scalability and compatibility with CMOS technologies. This review explores advances in fluorite-structured ferroelectric ASs, including two-terminal switchable diodes, ferroelectric-tunnel junctions, three-terminal field-effect transistors, and thin-film transistors. Additionally, we examine future challenges and prospects for developing ferroelectric-based ASs for neuromorphic computing.</div></div>\",\"PeriodicalId\":100942,\"journal\":{\"name\":\"Nano Trends\",\"volume\":\"9 \",\"pages\":\"Article 100074\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-01-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nano Trends\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666978125000030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nano Trends","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666978125000030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Advancements in artificial synapses: The role of fluorite–structured ferroelectrics
In today's world, the rise of big data demands a new computing paradigm beyond the von Neumann architecture to handle massive datasets effectively. Neuromorphic computing, inspired by the synaptic plasticity of biological synapses, has emerged as a solution. Artificial synapses (ASs) in neuromorphic systems replicate synaptic functions like potentiation/depression, short-/long-term plasticity, and spike-time-dependent plasticity. Initial research on fluorite-structured ferroelectrics focused on understanding ferroelectricity and improving device performance. Since the discovery of ferroelectricity in hafnium-zirconium oxide in 2011, these materials have gained attention for their scalability and compatibility with CMOS technologies. This review explores advances in fluorite-structured ferroelectric ASs, including two-terminal switchable diodes, ferroelectric-tunnel junctions, three-terminal field-effect transistors, and thin-film transistors. Additionally, we examine future challenges and prospects for developing ferroelectric-based ASs for neuromorphic computing.