The DOI matches its Crossref record.
Theoretical study of the surface energy, stress, and lattice contraction of silver nanoparticles
Abstract
We employ first-principles and empirical computational methods to study the surface energy and surface stress of silver nanoparticles. The structures, cohesive energies, and lattice contractions of spherical Ag nanoclusters in the size range $0.5--5.5\phantom{\rule{0.3em}{0ex}}\mathrm{nm}$ are analyzed using two different theoretical approaches: an ab initio density functional pseudopotential technique combined with the generalized gradient approximation and the embedded atom method. The surface energies and stresses obtained via the embedded atom method are found to be in good agreement with those predicted by the gradient-corrected ab initio density functional formalism. We estimate the surface energy of Ag nanoclusters to be in the range of $1.0--2.2\phantom{\rule{0.3em}{0ex}}\mathrm{J}∕{\mathrm{m}}^{2}$. Our values are close to the bulk surface energy of silver, but are significantly lower than the recently reported value of $7.2\phantom{\rule{0.3em}{0ex}}\mathrm{J}∕{\mathrm{m}}^{2}$ for free Ag nanoparticles derived from the Kelvin equation.
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
Park, M. H., Lee, Y. H., Kim, H. J., Schenk, T., Lee, W., Kim, K. D., Fengler, F. P. G., Mikolajick, T., Schroeder, U., & Hwang, C. S. (2017) · Nanoscale · doi:10.1039/c7nr02121f · Cited by 403
Grassian, V. H. (2008) · The Journal of Physical Chemistry C · doi:10.1021/jp806073t · Cited by 302
Metadata
- Authors
- Medasani, B., Park, Y. H., & Vasiliev, I.
- Venue
- Physical Review B
- Publisher
- American Physical Society (APS)
- Published
- 2007-06-22
- Volume
- 75
- Issue
- 23
- ISSN
- 1098-0121 (ISSN-L)
- 1550-235X
- OpenAlex
- W2022559322
- Cited by
- 172
- References
- 0
- FWCI
- 4.00
- Type
- journal article
- Language
- en
- Open access
- closed
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: Theoretical study of the surface energy, stress, and lattice contraction of silver nanoparticles. https://app.cochat.ai/papers/10.1103/physrevb.75.235436
- The paper
- Medasani, B., Park, Y. H., & Vasiliev, I. (2007). Theoretical study of the surface energy, stress, and lattice contraction of silver nanoparticles. Physical Review B. https://doi.org/10.1103/physrevb.75.235436
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.