Evidence map›Paper›PMID 40649421›Full record

ArticleMaterials (Basel, Switzerland)2025

Enhanced Optoelectronic Synaptic Performance in Sol-Gel Derived Al-Doped ZnO Thin Film Devices.

Dabin Jeon, Seung Hun Lee, Sung-Nam Lee

Abstract read
In one paragraph

Article in Materials (Basel, Switzerland), 2025. 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. Article
  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

3 authors.

Dabin JeonDepartment of IT & Semiconductor Convergence Engineering, Tech University of Korea, Siheung 15073, Republic of Korea.
Seung Hun LeeDepartment of IT & Semiconductor Convergence Engineering, Tech University of Korea, Siheung 15073, Republic of Korea.
Sung-Nam LeeDepartment of IT & Semiconductor Convergence Engineering, Tech University of Korea, Siheung 15073, Republic of Korea.ORCID 0000-0002-4800-5199

Funding

Ministry of Science and ICT RS-2024-00456813Ministry of SMEs and Startups RS-2025-02353123
6 · The paper itself

Abstract

We report the fabrication and characterization of Al-doped ZnO (AZO) optoelectronic synaptic devices based on sol-gel-derived thin films with varying Al concentrations (0~4.0 wt%). Structural and optical analyses reveal that moderate Al doping modulates the crystal orientation, optical bandgap, and defect levels of ZnO films. Notably, 2.0 wt% Al doping yields the widest bandgap (3.31 eV), stable PL emission, and uniform deep-level absorption without inducing significant lattice disorder. Synaptic performance, including learning-forgetting dynamics and persistent photoconductivity (PPC), is strongly dependent on Al concentration. The 2.0 wt% AZO device exhibits the lowest forgetting rate and longest memory retention due to optimized trap formation, particularly Al-oxygen vacancy complexes that enhance carrier lifetime. Visual memory simulations using a 3 × 3 pixel array under patterned UV illumination further confirm superior long-term memory (LTM) behavior at 2.0 wt%, with stronger excitatory postsynaptic current (EPSC) retention during repeated stimulation. These results demonstrate that precise doping control via the sol-gel method enables defect engineering in oxide-based neuromorphic devices. Our findings provide an effective strategy for designing low-cost, scalable optoelectronic synapses with tunable memory characteristics suitable for future in-sensor computing and neuromorphic vision systems.

Indexed as

AZOneuromorphicoptoelectronicsol–gelsynapseZnO

Identifiers

PMID40649421
PMCPMC12251408

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.