Evidence map›Paper›PMID 42902518›Full record

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

Interfacial Polarization Dynamics of Nitrile Dipoles in Organic Synaptic Transistors for Acoustic Reservoir Computing.

Yutian Liu, Jiale Huang, Haoran Fang, Jichen Zhao, Fan Ye, Bo Huang, Ruibin Liang, Jintao Xu, Fanqi Wang, Mingjun Huang and 4 more

Abstract read
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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.

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0citing papers in PubMed
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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

14 authors.

Yutian LiuState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.
Jiale HuangState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.
Haoran FangState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.
Jichen ZhaoState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.
Fan YeSouth China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter, South China University of Technology, Guangzhou, China.
Bo HuangSchool of Advanced Materials and Technology, Guangzhou Polytechnic University, Guangzhou, China.
Ruibin LiangState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.
Jintao XuState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.
Fanqi WangState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.
Mingjun HuangSouth China Advanced Institute for Soft Matter Science and Technology, School of Emergent Soft Matter, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0009-0007-3254-1986
Zhiming LinDepartment of Rheumatology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.ORCID https://orcid.org/0000-0002-9341-4303
Shuguang ZhangState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0000-0001-5219-8707
Linfeng LanState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0000-0002-6477-2830
Junbiao PengState Key Laboratory of Luminescent Materials and Devices, Guangdong Basic Research Center of Excellence for Energy and Information Polymer Materials, South China University of Technology, Guangzhou, China.ORCID https://orcid.org/0000-0003-1671-2750

Funding

Advanced Materials-National Science and Technology Major Project 2024ZD0604100Advanced Materials-National Science and Technology Major Project 2025ZD0615900Autonomous Project of State Key Laboratory of Luminescent Materials and Devices Skllmd-2025-07National Key R&D Program of China 2024YFF1504501National Natural Science Foundation of China 62074059National Natural Science Foundation of China 62474070Natural Science Foundation of Guangdong Province 2025A1515010023TCL Science and Technology Innovation Fund
6 · The paper itself

Abstract

Polar polymer interlayers have emerged as core functional layers in organic synaptic transistors (OSTs), enabling diverse neuromorphic behaviors through interfacial dipolar polarization and relaxation. However, the interfacial dipolar mechanisms governing memory window (ΔV) formation and modulation remain insufficiently understood. Here, polyacrylonitrile (PAN) is selected as a representative polar polymer interlayer to exploit nitrile (CN) dipolar relaxation for temporal acoustic reservoir computing (RC). It is found that the ΔV varies nonmonotonically with PAN concentration, suggesting a dipolar competition mechanism between interfacial polarization strength and dipole relaxation capability. Accordingly, dipolar relaxation underpins multiscale synaptic responses and fading memory for temporal RC. The device further exhibits stable and symmetric weight updates, with a low asymmetry ratio (AR) of 5.06% and cycle-to-cycle variations (CCVs) below 1%. Notably, the PAN-OST operates with an ultralow event energy of 50 aJ while maintaining a high signal-to-noise ratio (SNR) of 50.47 dB. The PAN reservoir achieves 97.17% accuracy in spoken digit recognition and a maximum accuracy of 94.8% in the more challenging speech emotion recognition. Overall, this work establishes an interfacial polarization-driven pathway for energy-efficient neuromorphic computing and next-generation intelligent hardware.

Indexed as

acoustic temporal processinginterfacial dipolar relaxationorganic synaptic transistorspolyacrylonitrile interlayerreservoir computing

Identifiers

PMID42902518
PMCPMC13683882

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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.