Two‐Dimensional Memtransistors for Non‐Von Neumann Computing: Progress and Challenges

Author:

Wali Akshay1ORCID,Das Saptarshi1234ORCID

Affiliation:

1. Electrical Engineering and Computer Science Penn State University University Park PA 16802 USA

2. Engineering Science and Mechanics Penn State University University Park PA 16802 USA

3. Materials Science and Engineering Penn State University University Park PA 16802 USA

4. Materials Research Institute Penn State University University Park PA 16802 USA

Abstract

AbstractThe increased demand of high‐performance computing systems has exposed the inherent limitations of the current state‐of‐the‐art von Neumann architecture. Therefore, developing alternate computing primitives that can offer faster computing speed with low energy expenditure is critical. In this context, while several non‐volatile memory (NVM) devices such as synaptic transistors, spintronic devices, phase change memory (PCM), and memristors have been demonstrated in the past, their two‐terminal nature necessitates additional peripheral elements that increase area and energy overhead. Recently, a new multiterminal device prototype known as a memtransistor has shown tremendous potential to overcome these limitations through exceptional control of the gate electrostatics as enabled by 2D channel materials. In this perspective, a brief overview of recent developments in 2D‐memtransistor devices is provided, including their fundamental operational mechanisms and the role of defects in enabling multiple NVM states and optical photoresponse. An overview of their implementation in the context of neuromorphic, probabilistic, information security, and edge‐sensing primitives is also provided. Finally, a futuristic perspective is provided looking toward their successful large‐scale technological integration.

Publisher

Wiley

Subject

Electrochemistry,Condensed Matter Physics,Biomaterials,Electronic, Optical and Magnetic Materials

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3