Evidence map›Paper›PMID 41152222›Full record

ArticleNature communications2025

Large-scale crossbar arrays based on three-terminal MoS

Thomas F Schranghamer, Andrew Pannone, Jishnu M Kumar, Dev Krishna Thiyyadi Baiju, Chen Chen, Thomas McKnight, Sean Tadekawa, Evan Haines, Richard Ordonez, Cody Hayashi and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Crystallized Domain Walls in HfOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    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

12 authors.

Thomas F SchranghamerEngineering Science and Mechanics, Penn State University, University Park, PA, USA.ORCID http://orcid.org/0009-0009-5496-5354
Andrew PannoneEngineering Science and Mechanics, Penn State University, University Park, PA, USA.
Jishnu M KumarEngineering Science and Mechanics, Penn State University, University Park, PA, USA.
Dev Krishna Thiyyadi BaijuEngineering Science and Mechanics, Penn State University, University Park, PA, USA.
Chen Chen2D Crystal Consortium Materials Innovation Platform, Materials Research Institute, Penn State University, University Park, PA, USA.
Thomas McKnightMaterials Science and Engineering, Penn State University, University Park, PA, USA.
Sean TadekawaNaval Information Warfare Center Pacific, Pearl City, HI, USA.
Evan HainesNaval Information Warfare Center Pacific, Pearl City, HI, USA.
Richard OrdonezNaval Information Warfare Center Pacific, Pearl City, HI, USA.
Cody HayashiNaval Information Warfare Center Pacific, Pearl City, HI, USA.
Joan M Redwing2D Crystal Consortium Materials Innovation Platform, Materials Research Institute, Penn State University, University Park, PA, USA.ORCID http://orcid.org/0000-0002-7906-452X
Saptarshi DasEngineering Science and Mechanics, Penn State University, University Park, PA, USA. sud70@psu.edu.ORCID http://orcid.org/0000-0002-0188-945X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Memristive crossbar architectures are promising as efficient, low-power inference engines for edge AI applications. However, inputs with minor differences often yield similar outputs, requiring additional processing methods such as confidence scoring, feedback mechanisms, crossbar redundancy, or hybrid analog-digital approaches to resolve. These methods can be impractical for resource-limited edge devices. In contrast, three-terminal memtransistors can dynamically tune conductance via gate control, effectively resolving similar outputs and enhancing separability without retraining. Here, we present dense, large-scale crossbar array architectures incorporating up to 2048 MoS

Identifiers

PMID41152222
PMCPMC12569200

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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.