Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 189

The DOI matches its Crossref record.

Water Adsorption on Coordinatively Unsaturated Sites in CuBTC MOF

Grajciar, Lukáš, Bludský, Ota, Nachtigall, Petr·2010·The Journal of Physical Chemistry Letters

Abstract

We report a theoretical study of water adsorption on coordinatively unsaturated sites (cus's) in a metal−organic framework (MOF) compound CuBTC. The reliability of the density functional theory (DFT)-based methods and dispersion-corrected DFT-D schemes for the description of cus sites was investigated with respect to the accurate reference CCSD(T)/CBS data. The accuracy of both DFT and DFT-D methods was found to be insufficient. The proposed DFT/CC correction scheme gave the results in excellent agreement with the reference CCSD(T)/CBS data. DFT/CC calculations performed for the periodic CuBTC model gave R Cu−OH 2 = 2.19 Å and −Δ H ads = 49 kJ mol −1, both in very good agreement with available experimental data. The interaction of the first water molecule with the paddle-wheel unit is about 5 kJ mol −1 stronger than the interaction of the second water molecule with the same paddle-wheel unit. The DFT/CC scheme provides an accurate description of the extended MOF systems, and the results obtained with periodic DFT/CC model can be used for the testing and improvement of the force fields for classical simulations.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1021/jz101378z

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 189

Metadata

Authors
Grajciar, L., Bludský, O., & Nachtigall, P.
Venue
The Journal of Physical Chemistry Letters
Published
2010-11-12
Volume
1
Issue
23
Pages
3354-3359
ISSN
1948-7185 (ISSN-L)
OpenAlex
W2322471691
Cited by
189
References
0
FWCI
11.06
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: Water Adsorption on Coordinatively Unsaturated Sites in CuBTC MOF. https://app.cochat.ai/papers/10.1021/jz101378z
The paper
Grajciar, L., Bludský, O., & Nachtigall, P. (2010). Water Adsorption on Coordinatively Unsaturated Sites in CuBTC MOF. The Journal of Physical Chemistry Letters. https://doi.org/10.1021/jz101378z

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.