Evidence map›Paper›PMID 40277324›Full record

ReviewSmall methods2025

Coupling Light into Memristors: Advances in Halide Perovskite Resistive Switching and Neuromorphic Computing.

Zijian Feng, Jintao Wang, Fandi Chen, Beining Dong, Xinyu Ma, Tingting Mei, Ni Yang, Xinwei Guan, Long Hu, Chun-Ho Lin and 3 more

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Small methods, 2025. 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. Review
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

13 authors.

Zijian FengSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Jintao WangSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Fandi ChenSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Beining DongSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Xinyu MaSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Tingting MeiSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Ni YangSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Xinwei GuanSchool of Science, RMIT University, Melbourne, VIC, 3000, Australia.
Long HuSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Chun-Ho LinSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.ORCID https://orcid.org/0000-0003-0882-4728
Zhi LiSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Tom WuSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.
Dewei ChuSchool of Materials Science and Engineering, University of New South Wales (UNSW), Sydney, NSW, 2052, Australia.ORCID https://orcid.org/0000-0003-4581-0560

Funding

Australian Research Council DE240100179
6 · The paper itself

Abstract

Resistive switching memristor is an emerging nonvolatile memory technology designed to overcome the physical limitations of conventional systems and the performance bottleneck of the von Neumann architecture. Notably, halide perovskite (HP)-based memristors have gained significant attention in recent years due to their unique ionic migration behavior and exceptional photoelectric properties. This review highlights HP-based resistive switching, focusing on its recent developments in coupling light into memristors and discussing its implications for neuromorphic computing. The mechanisms of resistive switching are explored alongside the role of HP photoelectric properties in enhancing switching dynamics. The advantages and applications of light-coupled resistive switching, including reduced switching voltage, enhanced operation reliability, multilevel switching capability, and the development of light-integrated artificial synapses are discussed comprehensively. By fully harnessing the exceptional optoelectronic properties of HPs, this emerging field may pave the way for innovative approaches to memory technologies and light-responsive neuromorphic systems.

Indexed as

light‐couplingmemoryoptoelectronicsperovskiteresistive switching

Identifiers

PMID40277324
PMCPMC12391662

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.