Evidence map›Paper›PMID 31857604›Full record

ArticleScientific reports2019

An Electrical Characterisation Methodology for Benchmarking Memristive Device Technologies.

Spyros Stathopoulos, Loukas Michalas, Ali Khiat, Alexantrou Serb, Themis Prodromakis

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. 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.

Spyros StathopoulosElectronic Materials & Devices Research Group Zepler Institute for Photonics and Nanoelectronics University of Southampton, SO17 1BJ, Southampton, UK.ORCID http://orcid.org/0000-0002-0833-6209
Loukas MichalasElectronic Materials & Devices Research Group Zepler Institute for Photonics and Nanoelectronics University of Southampton, SO17 1BJ, Southampton, UK.
Ali KhiatElectronic Materials & Devices Research Group Zepler Institute for Photonics and Nanoelectronics University of Southampton, SO17 1BJ, Southampton, UK.
Alexantrou SerbElectronic Materials & Devices Research Group Zepler Institute for Photonics and Nanoelectronics University of Southampton, SO17 1BJ, Southampton, UK.
Themis ProdromakisElectronic Materials & Devices Research Group Zepler Institute for Photonics and Nanoelectronics University of Southampton, SO17 1BJ, Southampton, UK. t.prodromakis@soton.ac.uk.ORCID http://orcid.org/0000-0002-6267-6909

Funding

RCUK | Engineering and Physical Sciences Research Council (EPSRC) EP/R024642/1
6 · The paper itself

Abstract

The emergence of memristor technologies brings new prospects for modern electronics via enabling novel in-memory computing solutions and energy-efficient and scalable reconfigurable hardware implementations. Several competing memristor technologies have been presented with each bearing distinct performance metrics across multi-bit memory capacity, low-power operation, endurance, retention and stability. Application needs however are constantly driving the push towards higher performance, which necessitates the introduction of a standard benchmarking procedure for fair evaluation across distinct key metrics. Here we present an electrical characterisation methodology that amalgamates several testing protocols in an appropriate sequence adapted for memristors benchmarking needs, in a technology-agnostic manner. Our approach is designed to extract information on all aspects of device behaviour, ranging from deciphering underlying physical mechanisms to assessing different aspects of electrical performance and even generating data-driven device-specific models. Importantly, it relies solely on standard electrical characterisation instrumentation that is accessible in most electronics laboratories and can thus serve as an independent tool for understanding and designing new memristive device technologies.

Identifiers

PMID31857604
PMCPMC6923392

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.