Thresholding Computing with Heterogeneous Integration of Memristive Kernel with Metal-Oxide-Semiconductor Capacitor for Temporal Data Analysis (Adv. Mater. 50/2024)

IF 26.8 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Materials Pub Date : 2024-12-12 DOI:10.1002/adma.202470397
Sung Keun Shim, Keonuk Lee, Janguk Han, Dong Hoon Shin, Soo Hyung Lee, Sunwoo Cheong, Yoon Ho Jang, Cheol Seong Hwang
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Abstract

Thresholding Computing

The illustration depicts the process of receiving temporal data by an integrated hardware kernel, which then processes the input to extract meaningful information using memristors. The data flow through the hardware is visualized with signals converging onto the kernel, highlighting the sophisticated interaction between the temporal input and the advanced memory elements, ultimately enabling efficient data extraction and analysis. More details can be found in article number 2410432 by Yoon Ho Jang, Cheol Seong Hwang, and co-workers.

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基于记忆核与金属-氧化物-半导体电容器异质集成的阈值计算用于时间数据分析(Adv. Mater. 50/2024)
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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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