Evidence map›Paper›PMID 39159142›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Morphogenic Modeling of Corrosion Reveals Complex Effects of Intermetallic Particles.

Bruno C Batista, Elena Romanovskaia, Valentin Romanovski, Michael Emmanuel, James T Burns, Ji Ma, Istvan Z Kiss, John R Scully, Oliver Steinbock

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. 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. Morphogenic Modeling of Corrosion Reveals Complex Effects of Intermetallic Particles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

9 authors.

Bruno C BatistaDepartment of Chemistry and Biochemistry, Florida State University, Tallahassee, FL, 32306, USA.
Elena RomanovskaiaDepartment of Materials Science and Engineering, Center for Electrochemical Science and Engineering, University of Virginia, Charlottesville, VA, 22904, USA.ORCID https://orcid.org/0000-0001-8815-356X
Valentin RomanovskiDepartment of Materials Science and Engineering, Center for Electrochemical Science and Engineering, University of Virginia, Charlottesville, VA, 22904, USA.ORCID https://orcid.org/0000-0003-1741-0316
Michael EmmanuelDepartment of Chemistry, Saint Louis University, 3501 Laclede Ave., St. Louis, MO, 63103, USA.
James T BurnsDepartment of Materials Science and Engineering, Center for Electrochemical Science and Engineering, University of Virginia, Charlottesville, VA, 22904, USA.
Ji MaDepartment of Materials Science and Engineering, Center for Electrochemical Science and Engineering, University of Virginia, Charlottesville, VA, 22904, USA.
Istvan Z KissDepartment of Chemistry, Saint Louis University, 3501 Laclede Ave., St. Louis, MO, 63103, USA.
John R ScullyDepartment of Materials Science and Engineering, Center for Electrochemical Science and Engineering, University of Virginia, Charlottesville, VA, 22904, USA.ORCID https://orcid.org/0000-0001-5353-766X
Oliver SteinbockDepartment of Chemistry and Biochemistry, Florida State University, Tallahassee, FL, 32306, USA.ORCID https://orcid.org/0000-0002-7525-6399

Funding

Defense Sciences Office, DARPA GG12447
6 · The paper itself

Abstract

Corrosion processes are often discussed as stochastic events. Here, it is shown that some of these seemingly random processes are not driven by nanoscopic fluctuations but rather by the spatial distribution of micrometer-scale heterogeneities that trigger fast reactions associated with corrosion. Using a novel excitable reaction-diffusion model, corrosion waves traveling over the metal surface and the associated material loss are described. This resulting nonuniform corrosion penetration, seen as a height loss in modeling, exposes buried intermetallic particles, which depending on the local electrochemical state of the surface trigger or block new waves. Informed by quantitative experimental data for the Mg-Al-Zn alloy AZ31B, wave speeds, wave widths, and average material loss are accurately captured. Morphogenic mitigation based on wave-breaking microparticles is also simulated. While AZ31B corrosion is identified as a process driven by rare-wave events, this study predicts several other corrosion regimes that proceed via spots or patchy patterns, opening the door for new protection, design, and prediction strategies.

Indexed as

alloycorrosionexcitation wavesmicrostructurenonequilibriumself‐organization

Identifiers

PMID39159142
PMCPMC11496997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.