神经形态工程学
冯·诺依曼建筑
计算机科学
背景(考古学)
记忆电阻器
内存处理
相变存储器
架空(工程)
概率逻辑
计算机体系结构
非常规计算
电阻随机存取存储器
晶体管
分布式计算
嵌入式系统
材料科学
纳米技术
电子工程
电气工程
电压
人工智能
人工神经网络
古生物学
图层(电子)
搜索引擎
情报检索
Web搜索查询
按示例查询
工程类
生物
操作系统
作者
Akshay Wali,Saptarshi Das
标识
DOI:10.1002/adfm.202308129
摘要
Abstract The 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.
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