Evidence map›Paper›PMID 37870184›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Approaching the Zero-Power Operating Limit in a Self-Coordinated Organic Protonic Synapse.

Shuzhi Liu, Zhilong He, Bin Zhang, Xiaolong Zhong, Bingjie Guo, Weilin Chen, Hongxiao Duan, Yi Tong, Haidong He, Yu Chen and 1 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. A Self-Oscillated Organic Synapse for In-Memory Two-Factor Authentication.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  5. Article
  6. Approaching the Zero-Power Operating Limit in a Self-Coordinated Organic Protonic Synapse.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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

11 authors.

Shuzhi LiuSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Zhilong HeSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Bin ZhangSchool of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Xiaolong ZhongDepartment of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Bingjie GuoSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Weilin ChenDepartment of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Hongxiao DuanDepartment of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.
Yi TongSuzhou Laboratory, Suzhou, 215000, China.
Haidong HeMinhang Hospital, Fudan University, 170 Xinsong Road, Shanghai, 201199, China.
Yu ChenSchool of Chemistry and Molecular Engineering, East China University of Science and Technology, Shanghai, 200237, China.
Gang LiuSchool of Chemistry and Chemical Engineering, Shanghai Jiao Tong University, Shanghai, 200240, China.ORCID https://orcid.org/0000-0003-4172-5449

Funding

National Key R&D Program of China 2022YFB4700102National Natural Science Foundation of China 61974090National Natural Science Foundation of China 62111540271
6 · The paper itself

Abstract

High-performance artificial synapse with nonvolatile memory and low power consumption is a perfect candidate for brainoid intelligence. Unfortunately, due to the energy barrier paradox between ultra-low power and nonvolatile modulation of device conductances, it is still a challenge at the moment to construct such ideal synapses. Herein, a proton-reservoir type 4,4',4″,4'''-(Porphine-5,10,15,20-tetrayl) tetrakis (benzenesulfonic acid) (TPPS) molecule and fabricated organic protonic memristors with device width of 10 µm to 100 nm is synthesized. The occurrence of sequential proton migration and interfacial self-coordinated doping will introduce new energy levels into the molecular bandgap, resulting in effective and nonvolatile modulation of device conductance over 64 continuous states with retention exceeding 30 min. The power consumptions of modulating and reading the device conductance approach the zero-power operating limits, which range from 16.25 pW to 2.06 nW and 6.5 fW to 0.83 pW, respectively. Finally, a robust artificial synapse is successfully demonstrated, showing spiking-rate-dependent plasticity (SRDP) and spiking-timing-dependent plasticity (STDP) characteristics with ultra-low power of 0.66 to 0.82 pW, as well as 100 long-term depression (LTD)/potentiation (LTP) cycles with 0.14%/0.30% weight variations.

Indexed as

low power consumptionnonvolatile memoryorganic protonic synapseproton-reservoir TPPS molecule

Identifiers

PMID37870184
PMCPMC10700229

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.