Evidence map›Paper›PMID 38884186›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

The 3D Monolithically Integrated Hardware Based Neural System with Enhanced Memory Window of the Volatile and Non-Volatile Devices.

Yu-Rim Jeon, Donguk Seo, Yoonmyung Lee, Deji Akinwande, Changhwan Choi

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Yu-Rim JeonDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas, 78172, USA.ORCID https://orcid.org/0009-0003-6981-6788
Donguk SeoDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, 16419, South Korea.
Yoonmyung LeeDepartment of Electrical and Computer Engineering, Sungkyunkwan University, Suwon, 16419, South Korea.
Deji AkinwandeDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, Texas, 78172, USA.ORCID https://orcid.org/0000-0001-7133-5586
Changhwan ChoiDivision of Materials Science and Engineering, Hanyang University, Seoul, 04763, South Korea.ORCID https://orcid.org/0000-0002-8386-3885

Funding

National Research Foundation of Korea NRF-2022M3I7A2079155National Research Foundation of Korea NRF-2022R1A2C2012333National Research Foundation of Korea RS-2023-00260527National Research Foundation of Korea RS-2024-00407291
6 · The paper itself

Abstract

3D neuromorphic hardware system is first demonstrated in neuromorphic application as on-chip level by integrating array devices with CMOS circuits after wafer bonding (WB) and interconnection process. The memory window of synaptic device is degraded after WB and 3 Dimesional (3D) integration due to process defects and thermal stress. To address this degradation, Ag diffusion in materials of Ta

Indexed as

3D neuromorphic systemCMOS integrationconvolutional neural networkhigh k metal oxideRRAMsynaptic devicetransistorwafer bonding

Identifiers

PMID38884186
PMCPMC11336934

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.