Evidence map›Paper›PMID 41844658›Full record

ArticleNature communications2026

Programmable ferroelectric rectifier for reliable and efficient neuromorphic crossbar array.

Youngmin Kim, Yoon Jung Lee, Jiwoong Yang, Byungsoo Kim, Seung Ju Kim, Jaehyun Kim, Inhyuk Im, Jae Young Kim, He Rui, Haesung Kim and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Multi-Modal Low-Power Adaptive Braille Recognition System Based on HfAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

17 authors.

Youngmin Kim *Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea.
Yoon Jung Lee *Department of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea.
Jiwoong Yang *Department of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Byungsoo KimDepartment of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea.
Seung Ju KimMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0000-0405-803X
Jaehyun KimDepartment of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-7039-9342
Inhyuk ImDepartment of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-8963-7213
Jae Young KimDepartment of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea.
He RuiDepartment of Electrical Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea.
Haesung KimSchool of Electrical Engineering, Kookmin University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-3392-9444
Chung Wung BarkDepartment of Electrical Engineering, Gachon University, Seongnam-si, Gyeonggi-do, Republic of Korea.ORCID http://orcid.org/0000-0002-9394-4240
Min Hyuk ParkDepartment of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0001-6333-2668
Dae Hwan KimSchool of Electrical Engineering, Kookmin University, Seoul, Republic of Korea.
Sung-Jin ChoiSchool of Electrical Engineering, Kookmin University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-1301-2847
J Joshua YangMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA. jjoshuay@usc.edu.ORCID http://orcid.org/0000-0001-8242-7531
Sanghan LeeDepartment of Materials Science and Engineering, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea. sanghan@gist.ac.kr.ORCID http://orcid.org/0000-0002-5807-864X
Ho Won JangDepartment of Materials Science and Engineering, Research Institute of Advanced Materials, Seoul National University, Seoul, Republic of Korea. hwjang@snu.ac.kr.ORCID http://orcid.org/0000-0002-6952-7359

Funding

National Research Foundation of Korea (NRF) 2017M3D1A1040834National Research Foundation of Korea (NRF) RS-2024-00450836National Research Foundation of Korea (NRF) RS-2025-16903034National Research Foundation of Korea (NRF) RS-2025-23963262
6 · The paper itself

Abstract

The advancement of neuromorphic computing hardware requires energy-efficient operation, scalable device integration, and reliable conduction. These challenges can be effectively addressed by employing functional ferroelectric material as an active layer in memristors, leveraging their electrostatically modulated conduction for reliable switching. In this study, we present memristor devices that achieve a rectifying ratio exceeding 10⁶ and an off-state current below 10⁻¹² A based on epitaxial heterostructures consisting of Pt/Ba

Identifiers

PMID41844658
PMCPMC13376401

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.