The DOI matches its Crossref record.
The role of van der Waals forces in water adsorption on metals
Open accessAbstract
The interaction of water molecules with metal surfaces is typically weak and as a result van der Waals (vdW) forces can be expected to be of importance. Here we account for the systematic poor treatment of vdW forces in most popular density functional theory exchange-correlation functionals by applying accurate non-local vdW density functionals. We have computed the adsorption of a variety of exemplar systems including water monomer adsorption on Al(111), Cu(111), Cu(110), Ru(0001), Rh(111), Pd(111), Ag(111), Pt(111), and unreconstructed Au(111), and small clusters (up to 6 waters) on Cu(110). We show that non-local correlations contribute substantially to the water-metal bond in all systems, whilst water-water bonding is much less affected by non-local correlations. Interestingly non-local correlations contribute more to the adsorption of water on the reactive transition metal substrates than they do on the noble metals. The relative stability, adsorption sites, and adsorption geometries of competing water adstructures rarely differ when comparing results obtained with semi-local functionals and the non-local vdW density functionals, which explains the previous success of semi-local functionals in characterizing adsorbed water structures on a number of metal surfaces.
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
Ultralow-loading platinum-cobalt fuel cell catalysts derived from imidazolate frameworks
Chong, L., Wen, J., Kubal, J., Sen, F. G., Zou, J., Greeley, J., Chan, M., Barkholtz, H., Ding, W., & Liu, D.-J. (2018) · Science · doi:10.1126/science.aau0630 · Cited by 1,100
Metadata
- Authors
- Carrasco, J., Klimeš, J., & Michaelides, A.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2013-01-14
- Volume
- 138
- Issue
- 2
- Pages
- 024708-024708
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2014674060
- Cited by
- 242
- References
- 0
- FWCI
- 13.19
- 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: The role of van der Waals forces in water adsorption on metals. https://app.cochat.ai/papers/10.1063/1.4773901
- The paper
- Carrasco, J., Klimeš, J., & Michaelides, A. (2013). The role of van der Waals forces in water adsorption on metals. The Journal of Chemical Physics. https://doi.org/10.1063/1.4773901
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.