Evidence map›Paper›PMID 37095117›Full record

ArticleScientific reports2023

Performance analysis of DNA crossbar arrays for high-density memory storage applications.

Arpan De, Hashem Mohammad, Yiren Wang, Rajkumar Kubendran, Arindam K Das, M P Anantram

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Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Arpan DeDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.
Hashem MohammadDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.
Yiren WangDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.
Rajkumar KubendranDepartment of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, 15261, USA.
Arindam K DasDepartment of Computer Science and Electrical Engineering, Eastern Washington University, Cheney, WA, 99004, USA.
M P AnantramDepartment of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA. anant@uw.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deoxyribonucleic acid (DNA) has emerged as a promising building block for next-generation ultra-high density storage devices. Although DNA has high durability and extremely high density in nature, its potential as the basis of storage devices is currently hindered by limitations such as expensive and complex fabrication processes and time-consuming read-write operations. In this article, we propose the use of a DNA crossbar array architecture for an electrically readable read-only memory (DNA-ROM). While information can be 'written' error-free to a DNA-ROM array using appropriate sequence encodings its read accuracy can be affected by several factors such as array size, interconnect resistance, and Fermi energy deviations from HOMO levels of DNA strands employed in the crossbar. We study the impact of array size and interconnect resistance on the bit error rate of a DNA-ROM array through extensive Monte Carlo simulations. We have also analyzed the performance of our proposed DNA crossbar array for an image storage application, as a function of array size and interconnect resistance. While we expect that future advances in bioengineering and materials science will address some of the fabrication challenges associated with DNA crossbar arrays, we believe that the comprehensive body of results we present in this paper establishes the technical viability of DNA crossbar arrays as low power, high-density storage devices. Finally, our analysis of array performance vis-à-vis interconnect resistance should provide valuable insights into aspects of the fabrication process such as proper choice of interconnects necessary for ensuring high read accuracies.

Indexed as

BioengineeringBiomedical EngineeringDNADNA

Identifiers

PMID37095117
PMCPMC10126128

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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.