Cong Han , Haiming Qin , Rui Hu , Weijing Shao , Hanbing Fang , Hao Zhang , Xinpeng Wang , Yu Wang , Yi Liu , Yi Tong
{"title":"非易失性、高开/关比、耐用的基于ScAlN的人工突触忆阻器器件","authors":"Cong Han , Haiming Qin , Rui Hu , Weijing Shao , Hanbing Fang , Hao Zhang , Xinpeng Wang , Yu Wang , Yi Liu , Yi Tong","doi":"10.1016/j.mssp.2025.110025","DOIUrl":null,"url":null,"abstract":"<div><div>Sc-doped AlN has attracted a large amount of attention due to the discovery of ferroelectricity. The co-existing resistive characteristic also plays an important role in this material. However, few studies on memristors focus on it, especially in the field of neuromorphic computing. This study presents the construction of MIM-structured memristors utilizing Sc-doped AlN alloy material as the insulating layer. The memory attributes of the Cu/Sc<sub>0.2</sub>Al<sub>0.8</sub>N/Pt/Ti device are presented for neuromorphic systems. This device demonstrates excellent resistive switching performance characterized by consistent <em>I-V</em> cycles above 200, a substantial ON/OFF ratio surpassing 10<sup>6</sup> %, prolonged retention time exceeding 10,000 s, and favorable device uniformity. By adjusting the compliance current, this device demonstrates outstanding attributes of regulated progressive switching and multi-tiered resistance states. The switching and conduction mechanism is ascribed to defect-assisted conduction by using physical models and the analysis of temperature-dependent <em>I-V</em> curves. Furthermore, synaptic activities, including long-term potentiation (LTP), long-term depression (LTD), and paired-pulse facilitation (PPF), are effectively replicated. The MNIST handwritten digits image recognition task was examined concerning the linearity of potential and depression.</div></div>","PeriodicalId":18240,"journal":{"name":"Materials Science in Semiconductor Processing","volume":"201 ","pages":"Article 110025"},"PeriodicalIF":4.6000,"publicationDate":"2025-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Non-volatile, high on/off ratio, durable memristor devices based on ScAlN for artificial synapse\",\"authors\":\"Cong Han , Haiming Qin , Rui Hu , Weijing Shao , Hanbing Fang , Hao Zhang , Xinpeng Wang , Yu Wang , Yi Liu , Yi Tong\",\"doi\":\"10.1016/j.mssp.2025.110025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Sc-doped AlN has attracted a large amount of attention due to the discovery of ferroelectricity. The co-existing resistive characteristic also plays an important role in this material. However, few studies on memristors focus on it, especially in the field of neuromorphic computing. This study presents the construction of MIM-structured memristors utilizing Sc-doped AlN alloy material as the insulating layer. The memory attributes of the Cu/Sc<sub>0.2</sub>Al<sub>0.8</sub>N/Pt/Ti device are presented for neuromorphic systems. This device demonstrates excellent resistive switching performance characterized by consistent <em>I-V</em> cycles above 200, a substantial ON/OFF ratio surpassing 10<sup>6</sup> %, prolonged retention time exceeding 10,000 s, and favorable device uniformity. By adjusting the compliance current, this device demonstrates outstanding attributes of regulated progressive switching and multi-tiered resistance states. The switching and conduction mechanism is ascribed to defect-assisted conduction by using physical models and the analysis of temperature-dependent <em>I-V</em> curves. Furthermore, synaptic activities, including long-term potentiation (LTP), long-term depression (LTD), and paired-pulse facilitation (PPF), are effectively replicated. The MNIST handwritten digits image recognition task was examined concerning the linearity of potential and depression.</div></div>\",\"PeriodicalId\":18240,\"journal\":{\"name\":\"Materials Science in Semiconductor Processing\",\"volume\":\"201 \",\"pages\":\"Article 110025\"},\"PeriodicalIF\":4.6000,\"publicationDate\":\"2025-09-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Science in Semiconductor Processing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1369800125007620\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Science in Semiconductor Processing","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1369800125007620","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Non-volatile, high on/off ratio, durable memristor devices based on ScAlN for artificial synapse
Sc-doped AlN has attracted a large amount of attention due to the discovery of ferroelectricity. The co-existing resistive characteristic also plays an important role in this material. However, few studies on memristors focus on it, especially in the field of neuromorphic computing. This study presents the construction of MIM-structured memristors utilizing Sc-doped AlN alloy material as the insulating layer. The memory attributes of the Cu/Sc0.2Al0.8N/Pt/Ti device are presented for neuromorphic systems. This device demonstrates excellent resistive switching performance characterized by consistent I-V cycles above 200, a substantial ON/OFF ratio surpassing 106 %, prolonged retention time exceeding 10,000 s, and favorable device uniformity. By adjusting the compliance current, this device demonstrates outstanding attributes of regulated progressive switching and multi-tiered resistance states. The switching and conduction mechanism is ascribed to defect-assisted conduction by using physical models and the analysis of temperature-dependent I-V curves. Furthermore, synaptic activities, including long-term potentiation (LTP), long-term depression (LTD), and paired-pulse facilitation (PPF), are effectively replicated. The MNIST handwritten digits image recognition task was examined concerning the linearity of potential and depression.
期刊介绍:
Materials Science in Semiconductor Processing provides a unique forum for the discussion of novel processing, applications and theoretical studies of functional materials and devices for (opto)electronics, sensors, detectors, biotechnology and green energy.
Each issue will aim to provide a snapshot of current insights, new achievements, breakthroughs and future trends in such diverse fields as microelectronics, energy conversion and storage, communications, biotechnology, (photo)catalysis, nano- and thin-film technology, hybrid and composite materials, chemical processing, vapor-phase deposition, device fabrication, and modelling, which are the backbone of advanced semiconductor processing and applications.
Coverage will include: advanced lithography for submicron devices; etching and related topics; ion implantation; damage evolution and related issues; plasma and thermal CVD; rapid thermal processing; advanced metallization and interconnect schemes; thin dielectric layers, oxidation; sol-gel processing; chemical bath and (electro)chemical deposition; compound semiconductor processing; new non-oxide materials and their applications; (macro)molecular and hybrid materials; molecular dynamics, ab-initio methods, Monte Carlo, etc.; new materials and processes for discrete and integrated circuits; magnetic materials and spintronics; heterostructures and quantum devices; engineering of the electrical and optical properties of semiconductors; crystal growth mechanisms; reliability, defect density, intrinsic impurities and defects.