Data-driven RRAM device models using Kriging interpolation.

Imtiaz Hossen, Mark A Anders, Lin Wang, Gina C Adam

Abstract read

In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it

0cells of the map it votes in

2citing 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

2 citing papers in PubMed.

Stochastic lithofacies and petrophysical property modeling for fast history matching in heterogeneous clastic reservoir applications.Scientific reports · 2024
Article
Research progress in architecture and application of RRAM with computing-in-memory.Nanoscale advances · 2023
Review

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

4 authors.

Imtiaz HossenDepartment of Electrical and Computer Engineering, The George Washington University, Washington, DC, 20052, USA.

Mark A AndersNational Institute of Standards and Technology, Gaithersburg, MD, 20899, USA.

Lin WangDepartment of Statistics, The George Washington University, Washington, DC, 20052, USA.

Gina C AdamDepartment of Electrical and Computer Engineering, The George Washington University, Washington, DC, 20052, USA. ginaadam@gwu.edu.

Funding

George Washington University Cross-Disciplinary Research FundGeorge Washington University University Facilitating FundOffice of Naval Research N00014-20-1-2031

6 · The paper itself

Abstract

A two-tier Kriging interpolation approach is proposed to model jump tables for resistive switches. Originally developed for mining and geostatistics, its locality of the calculation makes this approach particularly powerful for modeling electronic devices with complex behavior landscape and switching noise, like RRAM. In this paper, a first Kriging model is used to model and predict the mean in the signal, followed up by a second Kriging step used to model the standard deviation of the switching noise. We use 36 synthetic datasets covering a broad range of different mean and standard deviation Gaussian distributions to test the validity of our approach. We also show the applicability to experimental data obtained from TiO

Identifiers

PMID35396453

DOI10.3390/electronics10091084

PMCPMC8993845

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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.