دورية أكاديمية

Long‐term and short‐term plasticity independently mimicked in highly reliable Ru‐doped Ge2Sb2Te5 electronic synapses

التفاصيل البيبلوغرافية
العنوان: Long‐term and short‐term plasticity independently mimicked in highly reliable Ru‐doped Ge2Sb2Te5 electronic synapses
المؤلفون: 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
المصدر: InfoMat, Vol 6, Iss 8, Pp n/a-n/a (2024)
بيانات النشر: Wiley, 2024.
سنة النشر: 2024
المجموعة: LCC:Materials of engineering and construction. Mechanics of materials
LCC:Information technology
مصطلحات موضوعية: electronic synapses, neuromorphic computing, PCRAM, Ru‐doped Ge2Sb2Te5, Materials of engineering and construction. Mechanics of materials, TA401-492, Information technology, T58.5-58.64
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2567-3165
Relation: https://doaj.org/toc/2567-3165
DOI: 10.1002/inf2.12543
URL الوصول: https://doaj.org/article/c1e51ddd2fca4efe8267741d1d054829
رقم الأكسشن: edsdoj.1e51ddd2fca4efe8267741d1d054829
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:25673165
DOI:10.1002/inf2.12543