Evidence map›Paper›PMID 42342651›Full record

ArticleNature communications2026

Diffusive memristors in the edge of chaos.

Seung Ju Kim, Tong Wang, Ruoyu Zhao, Davide Rossetti, Yichun Xu, Jian Zhao, Alon Ascoli, Fernando Corinto, R Stanley Williams, J Joshua Yang

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Nature communications, 2026. 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
0cells of the map it votes in
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

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

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

10 authors.

Seung Ju KimMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0000-0405-803X
Tong WangMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.
Ruoyu ZhaoMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0001-5193-8419
Davide RossettiMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0005-8819-8764
Yichun XuMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0000-0002-8359-8583
Jian ZhaoMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA.ORCID http://orcid.org/0009-0009-7684-2320
Alon AscoliDepartment of Electronics and Telecommunications Engineering, Politecnico di Torino, Turin, Italy.ORCID http://orcid.org/0000-0003-4026-9648
Fernando CorintoDepartment of Electronics and Telecommunications Engineering, Politecnico di Torino, Turin, Italy.ORCID http://orcid.org/0000-0003-4431-5701
R Stanley WilliamsMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA. rw_841@usc.edu.ORCID http://orcid.org/0000-0003-0213-4259
J Joshua YangMing Hsieh Department of Electrical and Computer Engineering, University of Southern California, Los Angeles, CA, USA. jjoshuay@usc.edu.ORCID http://orcid.org/0000-0001-8242-7531

Funding

National Science Foundation (NSF) 2036359National Science Foundation (NSF) 2240407United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-24-1-0322United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF1810268United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Office (ARO) W911NF2120128
6 · The paper itself

Abstract

Biological nervous systems are theorized to operate in the edge of chaos (EOC), a stable and locally active regime enabling energy-efficient information processing. Electronic implementations of such behavior have mainly relied on electrothermal phase transitions, which are power-intensive and unlike biological dynamics. Diffusive memristors, by contrast, harness ionic drift and diffusion resembling biological dynamics, yet their potential for EOC operation has remained unexplored. Here, we experimentally demonstrate ionically moderated EOC behavior in diffusive memristors. At the hundred-nanoampere level, the device exhibits sharp negative differential resistance (NDR) enhanced by a Ridley entropy production minimization transition, noise amplification and spontaneous oscillatory dynamics consistent with operation near the EOC. These emergent behaviors arise from coupled ionic transport, filament evolution and circuit dynamics, as confirmed by compact modeling. This system achieves power efficiency over three orders of magnitude greater than electrothermal EOC devices, introducing low-power neuromorphic elements that emulate brain-like dynamics through nanoionics.

Identifiers

PMID42342651
PMCPMC13442847

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.