Evidence map›Paper›PMID 39505851›Full record

ArticleNature communications2024

Quantifying chemomechanical weakening in muscovite mica with a simple micromechanical model.

Jordan J Sickle, William M Mook, Frank W DelRio, Anastasia G Ilgen, Wendelin J Wright, Karin A Dahmen

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. 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

6 authors.

Jordan J SickleDepartment of Physics and Anthony J. Leggett Institute for Condensed Matter Theory, University of Illinois at Urbana-Champaign, 1110 West Green Street, Urbana, IL, 61801, USA.ORCID http://orcid.org/0000-0002-9704-061X
William M MookMicrosystems Engineering, Science and Applications Center, Sandia National Laboratories, Albuquerque, NM, 87123, USA.
Frank W DelRioMaterial, Physical, and Chemical Sciences Center, Sandia National Laboratories, Albuquerque, NM, 87123, USA.ORCID http://orcid.org/0000-0003-1727-8220
Anastasia G IlgenGeochemistry Department, Sandia National Laboratories, Albuquerque, NM, 87123, USA.ORCID http://orcid.org/0000-0001-7876-9387
Wendelin J WrightDepartment of Mechanical Engineering and Department of Chemical Engineering, One Dent Drive, Bucknell University, Lewisburg, PA, 17837, USA.ORCID http://orcid.org/0000-0001-6493-6025
Karin A DahmenDepartment of Physics and Anthony J. Leggett Institute for Condensed Matter Theory, University of Illinois at Urbana-Champaign, 1110 West Green Street, Urbana, IL, 61801, USA. dahmen@illinois.edu.ORCID http://orcid.org/0000-0003-3290-8868

Funding

DOE | LDRD | Sandia National Laboratories (Sandia) 233080U.S. Department of Energy (DOE) DE-NA0003525
6 · The paper itself

Abstract

In response to gradual nanoindentation, the surface of muscovite mica deforms by sudden stochastic nanometer-scale displacement bursts. Here, the statistics of these displacement events are interpreted using a statistical model previously used to model earthquakes to understand how chemically reactive environments alter the surface properties of this material. We show that the statistics of nanoindentation displacement bursts in muscovite mica are tuned by chemomechanical weakening in a manner similar to how the statistics of model events are tuned by a mechanical weakening parameter that describes how easily system-spanning cracks can be nucleated. Because the predictions of this model are independent of any surface defects or structural details, these results suggest this simple model can be universally used to describe chemomechanical weakening in many systems prone to slip avalanches on a wide range of spatio-temporal scales.

Identifiers

PMID39505851
PMCPMC11541873

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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.