Multi-level resistive switching in hafnium-oxide-based devices for neuromorphic computing

IF 13.4 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY Nano Convergence Pub Date : 2023-09-14 DOI:10.1186/s40580-023-00392-4
Markus Hellenbrand, Judith MacManus-Driscoll
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Abstract

In the growing area of neuromorphic and in-memory computing, there are multiple reviews available. Most of them cover a broad range of topics, which naturally comes at the cost of details in specific areas. Here, we address the specific area of multi-level resistive switching in hafnium-oxide-based devices for neuromorphic applications and summarize the progress of the most recent years. While the general approach of resistive switching based on hafnium oxide thin films has been very busy over the last decade or so, the development of hafnium oxide with a continuous range of programmable states per device is still at a very early stage and demonstrations are mostly at the level of individual devices with limited data provided. On the other hand, it is positive that there are a few demonstrations of full network implementations. We summarize the general status of the field, point out open questions, and provide recommendations for future work.

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神经形态计算中基于氧化铪器件的多电平电阻开关
在不断发展的神经形态和内存计算领域,有多种评论可供参考。其中大多数涵盖了广泛的主题,这自然是以特定领域的细节为代价的。在这里,我们讨论了神经形态应用中基于氧化铪的器件的多电平电阻开关的具体领域,并总结了近年来的进展。虽然基于氧化铪薄膜的电阻开关的一般方法在过去十年左右一直非常繁忙,但具有每个设备连续可编程状态范围的氧化铪的开发仍处于非常早期的阶段,并且演示大多处于单个设备的水平,提供的数据有限。另一方面,有一些完整网络实现的演示是积极的。我们总结了该领域的总体现状,指出了有待解决的问题,并对今后的工作提出了建议。
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来源期刊
Nano Convergence
Nano Convergence Engineering-General Engineering
CiteScore
15.90
自引率
2.60%
发文量
50
审稿时长
13 weeks
期刊介绍: Nano Convergence is an internationally recognized, peer-reviewed, and interdisciplinary journal designed to foster effective communication among scientists spanning diverse research areas closely aligned with nanoscience and nanotechnology. Dedicated to encouraging the convergence of technologies across the nano- to microscopic scale, the journal aims to unveil novel scientific domains and cultivate fresh research prospects. Operating on a single-blind peer-review system, Nano Convergence ensures transparency in the review process, with reviewers cognizant of authors' names and affiliations while maintaining anonymity in the feedback provided to authors.
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