德拉姆
闪光灯(摄影)
计算机科学
闪存
通用存储器
随机存取存储器
嵌入式系统
计算机硬件
半导体存储器
计算机存储器
内存刷新
艺术
视觉艺术
作者
Su Jin Ahn,Young Guen Song,D. G. Cho,Daewon Ha,Wanki Kim,Kwangmin Park,Kwangjin Moon,Jin‐Woo Han,Su Jung Shim,Sangjin Hyun,Jaihyuk Song
标识
DOI:10.1109/imw61990.2025.11026954
摘要
As memory devices continue to scale down below the 10nm node, approaching an atomic scale, they encounter challenges in both device physics limits and in structure patterning. This poses a significant huddle for the semiconductor industry as it transitions into the era of AI and data-centric computing. In order to sustain scaling technology that has been crucial for the semiconductor industry’s growth, it is imperative to embrace innovative cell structures such as 3dimensional (3D) vertical cell stacking, as well as explore new materials beyond silicon channels (e.g., oxide semiconductors, ferroelectric materials), and 3D heterogeneous integration facilitated by wafer bonding technology must be adopted. This paper aims to investigate the future technological directions and potential candidates for DRAM and NAND Flash memory, in order to support the demands of the emerging AI industry.
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