{"title":"Long-term and short-term plasticity independently mimicked in highly reliable Ru-doped Ge2Sb2Te5 electronic synapses","authors":"Qiang Wang, Yachuan Wang, Yankun Wang, Luyue Jiang, Jinyan Zhao, Zhitang Song, Jinshun Bi, Libo Zhao, Zhuangde Jiang, Jutta Schwarzkopf, Shengli Wu, Bin Zhang, Wei Ren, Sannian Song, Gang Niu","doi":"10.1002/inf2.12543","DOIUrl":null,"url":null,"abstract":"<p>In order to fulfill the complex cognitive behaviors in neuromorphic systems with reduced peripheral circuits, the reliable electronic synapses mimicked by single device that achieves diverse long-term and short-term plasticity are essential. Phase change random access memory (PCRAM) is of great potential for artificial synapses, which faces, however, difficulty to realize short-term plasticity due to the long-lasting resistance drift. This work reports the ruthenium-doped Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub> (RuGST) based PCRAM, demonstrating a series of synaptic behaviors of short-term potentiation, pair-pulse facilitation, long-term depression, and short-term plasticity in the same single device. The optimized RuGST electronic synapse with the high transformation temperature of hexagonal phase >380°C, the outstanding endurance >10<sup>8</sup> cycles, the low resistance drift factor of 0.092, as well as the extremely high linearity with correlation coefficients of 0.999 and 0.976 in parts of potentiation and depression. Further investigations also go insight to mechanisms of Ru doping according to thorough microstructure characterization, revealing that Ru dopant is able to enter GST lattices thus changing and stabilizing atomic arrangement of GST. This leads to the short-term plasticity realized by RuGST PCRAM. Eventually, the proposed RuGST electronic synapses performs a high accuracy of ~94.1% in a task of image recognition of CIFAR-100 database using ResNet 101. This work promotes the development of PCRAM platforms for large-scale neuromorphic systems.</p>","PeriodicalId":48538,"journal":{"name":"Infomat","volume":"6 8","pages":""},"PeriodicalIF":22.7000,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/inf2.12543","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Infomat","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/inf2.12543","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
In order to fulfill the complex cognitive behaviors in neuromorphic systems with reduced peripheral circuits, the reliable electronic synapses mimicked by single device that achieves diverse long-term and short-term plasticity are essential. Phase change random access memory (PCRAM) is of great potential for artificial synapses, which faces, however, difficulty to realize short-term plasticity due to the long-lasting resistance drift. This work reports the ruthenium-doped Ge2Sb2Te5 (RuGST) based PCRAM, demonstrating a series of synaptic behaviors of short-term potentiation, pair-pulse facilitation, long-term depression, and short-term plasticity in the same single device. The optimized RuGST electronic synapse with the high transformation temperature of hexagonal phase >380°C, the outstanding endurance >108 cycles, the low resistance drift factor of 0.092, as well as the extremely high linearity with correlation coefficients of 0.999 and 0.976 in parts of potentiation and depression. Further investigations also go insight to mechanisms of Ru doping according to thorough microstructure characterization, revealing that Ru dopant is able to enter GST lattices thus changing and stabilizing atomic arrangement of GST. This leads to the short-term plasticity realized by RuGST PCRAM. Eventually, the proposed RuGST electronic synapses performs a high accuracy of ~94.1% in a task of image recognition of CIFAR-100 database using ResNet 101. This work promotes the development of PCRAM platforms for large-scale neuromorphic systems.
期刊介绍:
InfoMat, an interdisciplinary and open-access journal, caters to the growing scientific interest in novel materials with unique electrical, optical, and magnetic properties, focusing on their applications in the rapid advancement of information technology. The journal serves as a high-quality platform for researchers across diverse scientific areas to share their findings, critical opinions, and foster collaboration between the materials science and information technology communities.