The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Statistical physics of fracture, friction, and earthquakes
Open accessAbstract
The present status of research and understanding regarding the dynamics and the statistical properties of earthquakes is reviewed, mainly from a statistical physical viewpoint. Emphasis is put both on the physics of friction and fracture, which provides a microscopic basis for our understanding of an earthquake instability, and on the statistical physical modelling of earthquakes, which provides macroscopic aspects of such phenomena. Recent numerical results from several representative models are reviewed, with attention to both their critical and their characteristic properties. Some of the relevant notions and related issues are highlighted, including the origin of power laws often observed in statistical properties of earthquakes, apparently contrasting features of characteristic earthquakes or asperities, the nature of precursory phenomena and nucleation processes, and the origin of slow earthquakes, etc.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Fractal Concepts in Surface Growth
Barabási, A. L., & Stanley, H. E. (1995) · doi:10.1017/cbo9780511599798 · Cited by 3,925 · cited 1×
“…neighbours) the well studied models are Edwards -Wilkinson (EW) (Edwards and Wilkinson, 1982) (see also Amar and Family (1990); Csahok et al. (1993)) and KPZ models (Kardar et al., 1986; Moser et al., 1991; Sasamoto and Spohn, 2010) (see (Barabaśi and Stanley, 1995) for extensive analysis).”
BackgroundThe statistical theory of the strength of bundles of threads. I
Daniels, H. E. (1945) · Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences · doi:10.1098/rspa.1945.0011 · Cited by 1,124
Cited by
The Mechanics of Earthquakes and Faulting
Scholz, C. H. (2019) · Cambridge University Press eBooks · doi:10.1017/9781316681473 · Cited by 910
Power laws and self-organized criticality in theory and nature
Marković, D., & Gros, C. (2014) · Physics Reports · doi:10.1016/j.physrep.2013.11.002 · Cited by 263
Metadata
- Authors
- Kawamura, H., Hatano, T., Kato, N., Biswas, S., & Chakrabarti, B. K.
- Venue
- Reviews of Modern Physics
- Publisher
- American Physical Society (APS)
- Published
- 2012-05-18
- Volume
- 84
- Issue
- 2
- Pages
- 839-884
- ISSN
- 0034-6861 (ISSN-L)
- 1539-0756
- OpenAlex
- W2062041358
- Cited by
- 215
- References
- 2
- FWCI
- 30.22
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Statistical physics of fracture, friction, and earthquakes. https://app.cochat.ai/papers/10.1103/revmodphys.84.839
- The paper
- Kawamura, H., Hatano, T., Kato, N., Biswas, S., & Chakrabarti, B. K. (2012). Statistical physics of fracture, friction, and earthquakes. Reviews of Modern Physics. https://doi.org/10.1103/revmodphys.84.839
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
