Evidence map›Paper›PMID 38810136›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

A Plasmonic Optoelectronic Resistive Random-Access Memory for In-Sensor Color Image Cryptography.

Quan Yang, Yu Kang, Cheng Zhang, Haohan Chen, Tianjiao Zhang, Zheng Bian, Xiangwei Su, Wei Xu, Jiabao Sun, Pan Wang and 3 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. HfONanomaterials (Basel, Switzerland) · 2026
    Article
  2. Article
  3. 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

13 authors.

Quan YangCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Yu KangCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Cheng ZhangCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Haohan ChenCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Tianjiao ZhangCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Zheng BianCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Xiangwei SuCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Wei XuResearch Center for Frontier Fundamental Studies, Zhejiang Lab, Hangzhou, 311100, China.
Jiabao SunMicro-Nano Fabrication Center, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Pan WangCollege of Optical Science and Engineering, Zhejiang University, Hangzhou, 310027, China.
Yang XuCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Bin YuCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.
Yuda ZhaoCollege of Integrated Circuits, Hangzhou Global Scientific and Technological Innovation Centre, Zhejiang University, 38 Zheda Road, Hangzhou, 310027, China.ORCID https://orcid.org/0000-0003-2748-0537

Funding

Kun-Peng Program of Zhejiang Province H.W.National Key Research and Development Program of China 2022YFA1204303National Natural Science Foundation of China 62090030National Natural Science Foundation of China 62090034National Natural Science Foundation of China 62104214National Natural Science Foundation of China 62261160574Opening Project of Key Laboratory of Optoelectronic Chemical Materials and Devices of Ministry of Education, Jianghan University JDGD-202202Young Elite Scientists Sponsorship Program by CAST 2021QNRC001
6 · The paper itself

Abstract

The optoelectronic resistive random-access memory (RRAM) with the integrated function of perception, storage and intrinsic randomness displays promising applications in the hardware level in-sensor image cryptography. In this work, 2D hexagonal boron nitride based optoelectronic RRAM is fabricated with semitransparent noble metal (Ag or Au) as top electrodes, which can simultaneous capture color image and generate physically unclonable function (PUF) key for in-sensor color image cryptography. Surface plasmons of noble metals enable the strong light absorption to realize an efficient modulation of filament growth at nanoscale. Resistive switching curves show that the optical stimuli can impede the filament aggregation and promote the filament annihilation, which originates from photothermal effects and photogenerated hot electrons in localized surface plasmon resonance of noble metals. By selecting noble metals, the optoelectronic RRAM array can respond to distinct wavelengths and mimic the biological dichromatic cone cells to perform the color perception. Due to the intrinsic and high-quality randomness, the optoelectronic RRAM can produce a PUF key in every exposure cycle, which can be applied in the reconfigurable cryptography. The findings demonstrate an effective strategy to build optoelectronic RRAM for in-sensor color image cryptography applications.

Indexed as

2D materialscryptographyin‐sensor computingoptoelectronic RRAMplasmonic

Identifiers

PMID38810136
PMCPMC11304321

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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.