Evidence map›Paper›PMID 41970257›Full record

ArticleMaterials today. Bio2026

Engineering halogen-doped carbon dots for enhanced bioinspired synapses toward neuromorphic computing and neural interfaces.

Haotian Hao, Xiaochen Lang, Yanli Cao, Lin Chen, Mixue Wang, Zhibin Ding, Yuhao Peng, Bai Sun, Meiwen An, Guangdong Zhou and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Materials today. Bio, 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

11 authors.

Haotian HaoInstitute of Biomedical Engineering, College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Xiaochen LangMOE Key Laboratory of Interface Science and Engineering in Advanced Materials, College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Yanli CaoMOE Key Laboratory of Interface Science and Engineering in Advanced Materials, College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Lin ChenMOE Key Laboratory of Interface Science and Engineering in Advanced Materials, College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Mixue WangAcademy of Medical Sciences, Shanxi Medical University, Taiyuan, 030600, China.
Zhibin DingDepartment of Neurology, Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi Hospital, Taiyuan, 030032, China.
Yuhao PengMOE Key Laboratory of Interface Science and Engineering in Advanced Materials, College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.
Bai SunFrontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an, 710049, China.
Meiwen AnInstitute of Biomedical Engineering, College of Artificial Intelligence, Taiyuan University of Technology, Taiyuan, 030024, China.
Guangdong ZhouCollege of Artificial Intelligence, Chongqing Key Laboratory of Brain-inspired Computing and Intelligent Chips, MOE Key Laboratory of Luminescence Analysis and Molecular Sensors, Southwest University, Chongqing, 400715, China.
Yongzhen YangMOE Key Laboratory of Interface Science and Engineering in Advanced Materials, College of Materials Science and Engineering, Taiyuan University of Technology, Taiyuan, 030024, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neural interfaces demand memristor-based artificial synapses with comprehensive performance for neuromorphic computing and man-machine interaction. This study proposes a halogen doping engineering to enhance carbon dots (CDs)-based memristors performance for artificial synapses. Halogen-doped CDs (FCDs, ClCDs, BrCDs) and undoped CDs (UCDs) were synthesized via a solvothermal method. Systematic characterization confirms successful doping and reveals that Br doping optimally modulates electronic structure. The BrCDs-based memristor demonstrates the best memristor performance among these devices. Experimental and computational results illustrate that appropriate electronegativity of Br atoms can facilitate electron trapping and detrapping process. As a bioinspired synapse, the device successfully mimics key short-term and long-term plasticity, and demonstrates excellent performance in image classification tasks. Furthermore, the BrCDs-based device serves as the core of an artificial neural interface chip, successfully enabling chemical neurotransmitter dopamine release and eliciting Ca

Indexed as

Artificial synapseCarbon dotHalogen-doped engineeringMemristorNeural interface

Identifiers

PMID41970257
PMCPMC13068863

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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.