Gate insulator stack engineering for fully CMOS-compatible reservoir computing.

Joon Hwang, Min-Kyu Park, Jeonghyun Kim, Jong-Ho Bae, Jong-Ho Lee

Abstract read

In one paragraph

Article in Nano convergence, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Joon HwangDepartment of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, Seoul, 08826, South Korea.

Min-Kyu ParkDepartment of Semiconductor, Gachon University, Seongnam City, 13120, Gyeonggi, South Korea.

Jeonghyun KimDepartment of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, Seoul, 08826, South Korea.

Jong-Ho BaeDepartment of Systems Semiconductor Engineering, Yonsei University, Seoul, 03722, South Korea. jbae@yonsei.ac.kr.

Jong-Ho LeeDepartment of Electrical and Computer Engineering and Inter-University Semiconductor Research Center (ISRC), Seoul National University, Seoul, 08826, South Korea. jhl@snu.ac.kr.ORCID http://orcid.org/0000-0003-3559-9802

Funding

BK21 Four Program BK21 Four ProgramGachon University research fund Gachon University research fundMinistry of Science and ICT, South Korea RS-2025-10032968

6 · The paper itself

Abstract

The need for processing complex and temporal datasets has increased with the rise of artificial intelligence. In this context, reservoir computing, which utilizes the short-term memory of the reservoir to map input data into a high-dimensional space, has gathered significant interest. In this study, for the first time, fully CMOS-compatible reservoir computing is demonstrated through gate insulator stack engineering. Integrated on a single wafer, CMOS circuits, Al

Indexed as

Charge-trapFlash memoryIntegrationNeuromorphic computingReservoir computingSpiking neural networks

Identifiers

PMID41604085

DOI10.1186/s40580-026-00533-5

PMCPMC12852541

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.