Mengna Wang , Kun Wang , Bai Sun , Guangdong Zhou , Zelin Cao , Kaikai Gao , Fenggang Ren , Xiaoliang Chen , Xiangming Li , Jinyou Shao
{"title":"忆阻器的物理机制与集成设计","authors":"Mengna Wang , Kun Wang , Bai Sun , Guangdong Zhou , Zelin Cao , Kaikai Gao , Fenggang Ren , Xiaoliang Chen , Xiangming Li , Jinyou Shao","doi":"10.1016/j.mtnano.2025.100628","DOIUrl":null,"url":null,"abstract":"<div><div>Memristors with threshold transition behavior and rich dynamics are ideal candidates for simulating biological pulse neurons and constructing efficient neuromorphic systems. Based on changes in material structure, charge distribution, molecular polarization and other physical states, new integrated memory-computing devices have been constructed and applied to the sensor-memory-computing integrated systems. In this review, we first discuss the classification of memristive materials from the perspective of device structure design and focus on introducing the working mechanisms of valence variation, polarization, and carrier transfer covered internally. Further, the latest progress of memristors with multi-physical mechanisms is comprehensively summarized, including the formation/fracture of conductive filaments, carrier capture/release, polarization/depolarization. In particular, it is discussed in detail the principles and applications of memristors with different working mechanisms for constructing neuromorphic systems. Finally, the potential challenges and opportunities that may exist in the development of memristors in the coming years are discussed in depth.</div></div>","PeriodicalId":48517,"journal":{"name":"Materials Today Nano","volume":"30 ","pages":"Article 100628"},"PeriodicalIF":8.2000,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Physical mechanisms and integration design of memristors\",\"authors\":\"Mengna Wang , Kun Wang , Bai Sun , Guangdong Zhou , Zelin Cao , Kaikai Gao , Fenggang Ren , Xiaoliang Chen , Xiangming Li , Jinyou Shao\",\"doi\":\"10.1016/j.mtnano.2025.100628\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Memristors with threshold transition behavior and rich dynamics are ideal candidates for simulating biological pulse neurons and constructing efficient neuromorphic systems. Based on changes in material structure, charge distribution, molecular polarization and other physical states, new integrated memory-computing devices have been constructed and applied to the sensor-memory-computing integrated systems. In this review, we first discuss the classification of memristive materials from the perspective of device structure design and focus on introducing the working mechanisms of valence variation, polarization, and carrier transfer covered internally. Further, the latest progress of memristors with multi-physical mechanisms is comprehensively summarized, including the formation/fracture of conductive filaments, carrier capture/release, polarization/depolarization. In particular, it is discussed in detail the principles and applications of memristors with different working mechanisms for constructing neuromorphic systems. Finally, the potential challenges and opportunities that may exist in the development of memristors in the coming years are discussed in depth.</div></div>\",\"PeriodicalId\":48517,\"journal\":{\"name\":\"Materials Today Nano\",\"volume\":\"30 \",\"pages\":\"Article 100628\"},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2025-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Today Nano\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2588842025000598\",\"RegionNum\":2,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Today Nano","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2588842025000598","RegionNum":2,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
Physical mechanisms and integration design of memristors
Memristors with threshold transition behavior and rich dynamics are ideal candidates for simulating biological pulse neurons and constructing efficient neuromorphic systems. Based on changes in material structure, charge distribution, molecular polarization and other physical states, new integrated memory-computing devices have been constructed and applied to the sensor-memory-computing integrated systems. In this review, we first discuss the classification of memristive materials from the perspective of device structure design and focus on introducing the working mechanisms of valence variation, polarization, and carrier transfer covered internally. Further, the latest progress of memristors with multi-physical mechanisms is comprehensively summarized, including the formation/fracture of conductive filaments, carrier capture/release, polarization/depolarization. In particular, it is discussed in detail the principles and applications of memristors with different working mechanisms for constructing neuromorphic systems. Finally, the potential challenges and opportunities that may exist in the development of memristors in the coming years are discussed in depth.
期刊介绍:
Materials Today Nano is a multidisciplinary journal dedicated to nanoscience and nanotechnology. The journal aims to showcase the latest advances in nanoscience and provide a platform for discussing new concepts and applications. With rigorous peer review, rapid decisions, and high visibility, Materials Today Nano offers authors the opportunity to publish comprehensive articles, short communications, and reviews on a wide range of topics in nanoscience. The editors welcome comprehensive articles, short communications and reviews on topics including but not limited to:
Nanoscale synthesis and assembly
Nanoscale characterization
Nanoscale fabrication
Nanoelectronics and molecular electronics
Nanomedicine
Nanomechanics
Nanosensors
Nanophotonics
Nanocomposites