Evidence map›Paper›PMID 37428275›Full record

ArticleNano convergence2023

Mimicking biological synapses with a-HfSiO

Muhammad Ismail, Maria Rasheed, Chandreswar Mahata, Myounggon Kang, Sungjun Kim

Abstract read
In one paragraph

Article in Nano convergence, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. TiONano convergence · 2026
    Article
  2. HfOScience advances · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Thermally Oxidized Memristor and 1T1R Integration for Selector Function and Low-Power Memory.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  10. SnONanomaterials (Basel, Switzerland) · 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

5 authors.

Muhammad IsmailDivision of Electronics and Electrical Engineering, Dongguk University, Seoul, 04620, Republic of Korea.ORCID http://orcid.org/0000-0002-8880-8164
Maria RasheedDivision of Electronics and Electrical Engineering, Dongguk University, Seoul, 04620, Republic of Korea.
Chandreswar MahataDivision of Electronics and Electrical Engineering, Dongguk University, Seoul, 04620, Republic of Korea.
Myounggon KangDepartment of Electronics Engineering, Korea National University of Transportation, Chungju- si, 27469, Republic of Korea. mgkang@ut.ac.kr.
Sungjun KimDivision of Electronics and Electrical Engineering, Dongguk University, Seoul, 04620, Republic of Korea. sungjun@dongguk.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Memristors, owing to their uncomplicated structure and resemblance to biological synapses, are predicted to see increased usage in the domain of artificial intelligence. Additionally, to augment the capacity for multilayer data storage in high-density memory applications, meticulous regulation of quantized conduction with an extremely low transition energy is required. In this work, an a-HfSiO

Indexed as

a-HfSiOx filmAnalog tunable switchingExcitatory postsynaptic currentSchottky emissionSpiking-rate-dependent plasticity

Identifiers

PMID37428275
PMCPMC10333172

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.