神经形态工程学
电阻随机存取存储器
纳米技术
材料科学
计算机数据存储
储能
记忆电阻器
计算机科学
镓
氧化镓
信息存储
领域(数学)
电阻式触摸屏
工程物理
半导体
冯·诺依曼建筑
电子工程
氧化物
电气工程
大数据
带隙
光电子学
工程类
高效能源利用
非易失性存储器
堆栈(抽象数据类型)
新兴技术
数字存储
硅
作者
Zihao Li,Xiangxiang Gao,Yuelong Feng,Dongsheng Cui,Jian Li,Zhenhua Lin,Yue Hao,Jingjing Chang
标识
DOI:10.1002/admt.202502218
摘要
ABSTRACT With the swift advancement of information technology, the demand for data storage is surging exponentially. Mainstream storage technologies are now constrained by physical limitations, making it difficult to improve storage density as well as read/write speeds. Meanwhile, the “storage‐computation” separation in the von Neumann architecture has also created an insurmountable “memory wall” bottleneck, and frequent data transfer reduces energy efficiency. To meet the demand for real‐time data processing and neuromorphic computing's need for in‐memory integration, there's an urgent need for new storage technologies offering ultra‐high density, speed, and storage‐computation integration. Recently, resistive random‐access memory (RRAM) has attracted considerable attention from researchers and stands out as a competitive candidate in the realm of non‐volatile memory. Gallium Oxide (Ga 2 O 3 ), an emerging ultra‐wide bandgap semiconductor material, has emerged as one of the most promising candidates for RRAM due to its unique electrical and physical properties. Herein, this paper introduces the material properties of Ga 2 O 3 , and outlines the working principle of Ga 2 O 3 RRAM, performance evaluation of Ga 2 O 3 RRAM and applications of Ga 2 O 3 RRAM. Finally, insights and perspectives on the future development of Ga 2 O 3 RRAM are discussed to promote its application in the field of storage and neuromorphic computing.
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