Evidence map›Paper›PMID 32717952›Full record

ReviewNanomaterials (Basel, Switzerland)2020

Advances of RRAM Devices: Resistive Switching Mechanisms, Materials and Bionic Synaptic Application.

Zongjie Shen, Chun Zhao, Yanfei Qi, Wangying Xu, Yina Liu, Ivona Z Mitrovic, Li Yang, Cezhou Zhao

Abstract readReview
In one paragraph

Review in Nanomaterials (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

49 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Brain-Inspired In-Memory Data Pruning and Computing with TaOAdvanced materials (Deerfield Beach, Fla.) · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Advances in Metal Halide Perovskite Memristors: A Review from a Co-Design Perspective.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

8 authors.

Zongjie ShenDepartment of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Chun ZhaoDepartment of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.ORCID 0000-0002-4783-960X
Yanfei QiDepartment of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Wangying XuCollege of Materials Science and Engineering, Shenzhen University, Shenzhen 518060, China.
Yina LiuDepartment of Mathematical Sciences, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Ivona Z MitrovicDepartment of Electrical Engineering and Electronics, University of Liverpool, Liverpool L69 3BX, UK.
Li YangDepartment of Chemistry, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.
Cezhou ZhaoDepartment of Electrical and Electronic Engineering, Xi'an Jiaotong-Liverpool University, Suzhou 215123, China.

Funding

Key Program Special Fund in XJTLU KSF-P-02, KSF-T-03, KSF-A-04, KSF-A-05, KSF-A-07Natural Science Foundation of Jiangsu Province 19KJB510059Suzhou Science and Technology Development Planning Project: Key Industrial Technology Innovation SYG201924
6 · The paper itself

Abstract

Resistive random access memory (RRAM) devices are receiving increasing extensive attention due to their enhanced properties such as fast operation speed, simple device structure, low power consumption, good scalability potential and so on, and are currently considered to be one of the next-generation alternatives to traditional memory. In this review, an overview of RRAM devices is demonstrated in terms of thin film materials investigation on electrode and function layer, switching mechanisms and artificial intelligence applications. Compared with the well-developed application of inorganic thin film materials (oxides, solid electrolyte and two-dimensional (2D) materials) in RRAM devices, organic thin film materials (biological and polymer materials) application is considered to be the candidate with significant potential. The performance of RRAM devices is closely related to the investigation of switching mechanisms in this review, including thermal-chemical mechanism (TCM), valance change mechanism (VCM) and electrochemical metallization (ECM). Finally, the bionic synaptic application of RRAM devices is under intensive consideration, its main characteristics such as potentiation/depression response, short-/long-term plasticity (STP/LTP), transition from short-term memory to long-term memory (STM to LTM) and spike-time-dependent plasticity (STDP) reveal the great potential of RRAM devices in the field of neuromorphic application.

Indexed as

2D materialsartificial intelligencebionic synaptic applicationRRAMswitching mechanismsthin film

Identifiers

PMID32717952
PMCPMC7466260

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.