Evidence map›Paper›PMID 42334018›Full record

ArticleAngewandte Chemie (International ed. in English)2026

Single-Molecule Memristor Realizing Synaptic Plasticity for Neuromorphic Applications.

Li-Yu-Yang Shi, Yun-Tao Ding, Xiao-Di Liu, Shun-Da Wu, Wen-Jing Sun, Bing Sun, Yi-Sheng Wei, Zheng Zhang, Shu-Tong Liu, Lichuan Chen and 4 more

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Li-Yu-Yang ShiDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Yun-Tao DingDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Xiao-Di LiuDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Shun-Da WuDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Wen-Jing SunDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Bing SunDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Yi-Sheng WeiDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Zheng ZhangDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Shu-Tong LiuDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.
Lichuan ChenDepartment: Institute of Modern Optics and Center of Single-Molecule Science, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Institution: Nankai University, Tianjin, China.
Dong XiangDepartment: Institute of Modern Optics and Center of Single-Molecule Science, Tianjin Key Laboratory of Micro-scale Optical Information Science and Technology, Institution: Nankai University, Tianjin, China.ORCID https://orcid.org/0000-0002-5632-6355
Yamin ZhangDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.ORCID https://orcid.org/0000-0002-7640-4197
Zitong LiuDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.ORCID https://orcid.org/0000-0003-1185-9219
Hao-Li ZhangDepartment: State Key Laboratory of Natural Product Chemistry, Key Laboratory of Special Function Materials and Structure Design (MOE), College of Chemistry and Chemical Engineering, Institution: Lanzhou University, Address: Lanzhou University, Lanzhou, China.ORCID https://orcid.org/0000-0002-6322-5202

Funding

111 project 2.0 BP1221004National Natural Science Foundation of China 22175081National Natural Science Foundation of China 22375080National Natural Science Foundation of China 22405111National Natural Science Foundation of China 52373185National Natural Science Foundation of China 92256202National Natural Science Foundation of China U22A20399Science and Technology Major Program of Gansu Province 22ZD6FA006Science and Technology Major Program of Gansu Province 22ZD6GD060Science and Technology Major Program of Gansu Province 23ZDFA015Science and Technology Major Program of Gansu Province 24ZD13FA017Science and Technology Major Program of Gansu Province 25JRRA716Science and Technology Major Program of Gansu Province 25JRRA717
6 · The paper itself

Abstract

Neuromorphic computing, particularly memristor-based architectures, offers a promising route to overcome the von Neumann bottleneck. Single-molecule devices, with their high integration density and low energy consumption, represent an emerging platform for next-generation computing. Here, we report the first optoelectronic volatile single-molecule memristor based on the organic photovoltaic material Y6. The device exhibits reproducible conductance switching driven by electric-field-induced structural relaxation, enabling gradual and linear conductance modulation that mimics synaptic behavior. Under red-light illumination, the Y6 junction shows a remarkable 457% increase in conductance and a significantly reduced switching threshold, demonstrating strong photoresponsivity and low-power operation. Furthermore, frequency-dependent pulse tests clearly reproduce short-term synaptic plasticity (STP), demonstrating the memristor's ability to emulate dynamic synaptic functions. When the experimentally measured current response of the Y6 single-molecule memristor is incorporated into an artificial neural network (ANN) model, the system achieves a speech-recognition accuracy of 71.50%, closely matching that of the benchmark ANN (74.90%). This work pioneers the realization of synaptic functionality in a single-molecule memristor and validates its application within an artificial neural network. It provides a new strategy for developing highly integrated molecular-scale neuromorphic computing devices.

Indexed as

molecular electronicsneuromorphic applicationsshort‐term plasticitysingle‐molecule devicesvolatile memristor

Identifiers

PMID42334018
PMCPMC13502612

What OpenQuestion holds

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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.