The DOI matches its Crossref record.
Atomic-scale simulations of the mechanical deformation of nanocrystalline metals
Open accessAbstract
Nanocrystalline metals, i.e., metals in which the grain size is in the nanometer range, have a range of technologically interesting properties including increased hardness and yield strength. We present atomic-scale simulations of the plastic behavior of nanocrystalline copper. The simulations show that the main deformation mode is sliding in the grain boundaries through a large number of uncorrelated events, where a few atoms (or a few tens of atoms) slide with respect to each other. Little dislocation activity is seen in the grain interiors. The localization of the deformation to the grain boundaries leads to a hardening as the grain size is increased (reverse Hall-Petch effect), implying a maximum in hardness for a grain size above the ones studied here. We investigate the effects of varying temperature, strain rate, and porosity, and discuss the relation to recent experiments. At increasing temperatures the material becomes softer in both the plastic and elastic regime. Porosity in the samples result in a softening of the material; this may be a significant effect in many experiments.
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
Cited by
Yamakov, V., Wolf, D., Phillpot, S. R., Mukherjee, A. K., & Gleiter, H. (2002) · Nature Materials · doi:10.1038/nmat700 · Cited by 989
Grain Boundaries and Dislocations
Van Swygenhoven, H. (2002) · Science · doi:10.1126/science.1071040 · Cited by 656
COHERENT EXCITATION OF VIBRATIONAL MODES IN METALLIC NANOPARTICLES
Hartland, G. V. (2006) · Annual Review of Physical Chemistry · doi:10.1146/annurev.physchem.57.032905.104533 · Cited by 288
Metadata
- Authors
- Schiøtz, J., Vegge, T., Di Tolla, F. D., & Jacobsen, K. W.
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 1999-11-01
- Volume
- 60
- Issue
- 17
- Pages
- 11971-11983
- ISSN
- 0163-1829 (ISSN-L)
- 1095-3795
- OpenAlex
- W2053727377
- Cited by
- 629
- References
- 0
- FWCI
- 9.72
- Type
- journal article
- Language
- en
- Open access
- bronze
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: Atomic-scale simulations of the mechanical deformation of nanocrystalline metals. https://app.cochat.ai/papers/10.1103/physrevb.60.11971
- The paper
- Schiøtz, J., Vegge, T., Di Tolla, F. D., & Jacobsen, K. W. (1999). Atomic-scale simulations of the mechanical deformation of nanocrystalline metals. Physical Review B. https://doi.org/10.1103/physrevb.60.11971
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.