Evidence map›Paper›PMID 42711966›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Ion-Exchange-Driven Ternary Organic Neuromorphic Devices with High Efficiency and Stability.

Sungmin Lee, Vivek Pratap Singh, Hyeonryul Lee, Young-Yong Kim, Yong-Ryun Jo, Changhoon Lee, Ji Hoon Shim, Namsoo Lim, Guanjie Wang, Junyeong Sung and 5 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

15 authors.

Sungmin LeeDepartment of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0001-4854-5064
Vivek Pratap SinghDepartment of Advanced Battery Convergence Engineering, Dongguk University-Seoul, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0001-7206-6023
Hyeonryul LeeDepartment of Advanced Battery Convergence Engineering, Dongguk University-Seoul, Seoul, Republic of Korea.
Young-Yong KimPohang Accelerator Laboratory, Pohang University of Science and Technology, Pohang, Republic of Korea.ORCID https://orcid.org/0000-0001-6102-9518
Yong-Ryun JoGIST Advanced Institute of Instrumental Analysis (GAIA), Electron Microscopy Laboratory, Gwangju Institute of Science and Technology, Gwangju, Republic of Korea.
Changhoon LeeMax Planck POSTECH Center for Complex Phase of Materials, Pohang University of Science and Technology, Pohang, Republic of Korea.ORCID https://orcid.org/0000-0001-8032-7094
Ji Hoon ShimDepartment of Chemistry, Pohang University of Science and Technology, Pohang, Republic of Korea.
Namsoo LimResearch Institute of Molecular Alchemy, Gyeongsang National University, Jinju, South Gyeongsang, Republic of Korea.ORCID https://orcid.org/0000-0001-7497-9440
Guanjie WangDepartment of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0004-6124-0056
Junyeong SungDepartment of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, Republic of Korea.ORCID https://orcid.org/0009-0001-1398-6089
Dongyeop YangDepartment of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, Republic of Korea.
Zhongwu WangState Key Laboratory of Advanced Materials for Intelligent Sensing & Key Laboratory of Organic Integrated Circuit, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, Institute of Molecular Aggregation Science, Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0002-1331-9796
Liqiang LiState Key Laboratory of Advanced Materials for Intelligent Sensing & Key Laboratory of Organic Integrated Circuit, Ministry of Education & Tianjin Key Laboratory of Molecular Optoelectronic Sciences, Department of Chemistry, Institute of Molecular Aggregation Science, Tianjin University, Tianjin, China.ORCID https://orcid.org/0000-0001-8399-3957
Chandran BalamuruganDepartment of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, Republic of Korea.
Sooncheol KwonDepartment of Energy and Materials Engineering, Dongguk University-Seoul, Seoul, Republic of Korea.ORCID https://orcid.org/0000-0003-2799-9558

Funding

ICT Challenge and Advanced Network of HRD (ICAN) support program IITP-2024-RS-2024-00437186Institute for Information & Communications Technology Planning & EvaluationKorea Institute of Energy Technology Evaluation and PlanningMinistry of Science and ICTMinistry of Trade, Industry & Energy (MOTIE) of the Republic of Korea 20224000000020
6 · The paper itself

Abstract

Organic neuromorphic platforms based on top-gate ionic-liquid architectures rely on precise electrochemical doping at low operating voltages; however, intrinsically unfavorable polymer-ion interfaces often lead to unstable doping, elevated operating voltages, and poor device-to-device uniformity. Herein, we present a solution-processed ternary organic blend system composed of organic semiconductors and a binary ionic-liquid system, in which spontaneous ion exchange within the active layer establishes a stabilized ionic environment and facilitates anion access into semicrystalline domains. In situ X-ray and Raman spectroscopy measurements reveal that this stabilized ionic matrix enables efficient anion penetration and electrochemical doping even under short gate pulses. The resultant ternary-blend devices operate under a low gate voltage (V

Indexed as

electrochemical dopingIn situ observationion exchangeorganic neuromorphic deviceternary blend system

Identifiers

PMID42711966
PMCPMC13554501

What OpenQuestion holds

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Registered trials

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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.