Evidence map›Paper›PMID 38750065›Full record

ArticleNature communications2024

Experimental demonstration of an on-chip p-bit core based on stochastic magnetic tunnel junctions and 2D MoS

John Daniel, Zheng Sun, Xuejian Zhang, Yuanqiu Tan, Neil Dilley, Zhihong Chen, Joerg Appenzeller

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

7 authors.

John DanielBirck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA. danie110@purdue.edu.ORCID http://orcid.org/0009-0002-4071-9450
Zheng SunBirck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA.
Xuejian ZhangBirck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA.
Yuanqiu TanBirck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA.
Neil DilleyBirck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA.
Zhihong ChenBirck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA.ORCID http://orcid.org/0000-0001-5934-739X
Joerg AppenzellerBirck Nanotechnology Center, Purdue University, West Lafayette, IN, 47907, USA. appenzeller@purdue.edu.ORCID http://orcid.org/0000-0002-7461-9223

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Probabilistic computing is a computing scheme that offers a more efficient approach than conventional complementary metal-oxide-semiconductor (CMOS)-based logic in a variety of applications ranging from optimization to Bayesian inference, and invertible Boolean logic. The probabilistic bit (or p-bit, the base unit of probabilistic computing) is a naturally fluctuating entity that requires tunable stochasticity; by coupling low-barrier stochastic magnetic tunnel junctions (MTJs) with a transistor circuit, a compact implementation is achieved. In this work, by combining stochastic MTJs with 2D-MoS

Identifiers

PMID38750065
PMCPMC11096331

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.