Thresholding Computing with Heterogeneous Integration of Memristive Kernel with Metal‐Oxide‐Semiconductor Capacitor for Temporal Data Analysis (Adv. Mater. 50/2024)
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.
Authors
- Soo Hyung Lee (ORCID: https://orcid.org/0009-0007-2471-9385)
- Cheol Seong Hwang (ORCID: https://orcid.org/0000-0002-6254-9758)
- Dong Hoon Shin (ORCID: https://orcid.org/0000-0002-0438-0835)
- Sung Keun Shim (ORCID: https://orcid.org/0009-0008-3718-1833)
- Yoon Ho Jang (ORCID: https://orcid.org/0009-0004-2071-2731)
- Janguk Han (ORCID: https://orcid.org/0009-0000-1588-1005)
- Sunwoo Cheong (ORCID: https://orcid.org/0009-0002-5275-7155)
- Keonuk Lee
Institutions
- Seoul National University (KR)
Publication Details
- Journal
- Advanced Materials
- Published
- 2024-12-01
- DOI
- https://doi.org/10.1002/adma.202470397
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00