德拉姆
动态随机存取存储器
数据保留
堆积
材料科学
计算机科学
相变存储器
光电子学
晶体管
数组数据结构
泄漏(经济)
电容器
纳米技术
计算机硬件
半导体存储器
电气工程
电压
工程类
物理
宏观经济学
经济
图层(电子)
核磁共振
作者
Qijun Li,Qianlan Hu,Shenwu Zhu,Min Zeng,Wenjie Zhao,Yanqing Wu
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-05-23
卷期号:11 (21): eadu4323-eadu4323
被引量:8
标识
DOI:10.1126/sciadv.adu4323
摘要
Traditional dynamic random access memory (DRAM) technology faces grand challenges in power consumption due to the constant data refresh and in density due to the physical limit for dimension scaling. Recently, two-transistor zero-capacitor (2T0C) DRAM based on amorphous indium gallium zinc oxide (IGZO) exhibits long data retention owing to its extremely low off-state leakage current. Furthermore, the low thermal budget of the IGZO channel enables the monolithic three-dimensional (3D) stacking for higher bit density beyond the planar scaling limit. However, the demonstration of 3D stacking for IGZO has been limited to 2T0C DRAM single cell. In this work, an 8 by 8 3D stacked IGZO 2T0C DRAM array was designed and manufactured with optimized electrical characteristics, exhibiting 3-bit storage with over 100-second retention time. Furthermore, a neural network model has been demonstrated to achieve an accuracy of 94.95% in image recognition, providing for promising pathway toward computing in memory to overcome the “memory wall.”
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