Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,125

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Perspective: Advances and challenges in treating van der Waals dispersion forces in density functional theory

Open access
Klimeš, Jiří, Michaelides, Angelos·2012·The Journal of Chemical Physics

Abstract

Electron dispersion forces play a crucial role in determining the structure and properties of biomolecules, molecular crystals, and many other systems. However, an accurate description of dispersion is highly challenging, with the most widely used electronic structure technique, density functional theory (DFT), failing to describe them with standard approximations. Therefore, applications of DFT to systems where dispersion is important have traditionally been of questionable accuracy. However, the last decade has seen a surge of enthusiasm in the DFT community to tackle this problem and in so-doing to extend the applicability of DFT-based methods. Here we discuss, classify, and evaluate some of the promising schemes to emerge in recent years. A brief perspective on the outstanding issues that remain to be resolved and some directions for future research are also provided.

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 · 10.1063/1.4754130

Cites

6 of 6 references verified0 citation errors · 0 not checkable

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

Cites

Show all 6 references

Cited by

See all 1,125

Metadata

Authors
Klimeš, J., & Michaelides, A.
Venue
The Journal of Chemical Physics
Published
2012-09-24
Volume
137
Issue
12
Pages
120901-120901
ISSN
  • 0021-9606 (ISSN-L)
  • 1089-7690
OpenAlex
W1982595063
Cited by
1,125
References
6
FWCI
60.15
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: Perspective: Advances and challenges in treating van der Waals dispersion forces in density functional theory. https://app.cochat.ai/papers/10.1063/1.4754130
The paper
Klimeš, J., & Michaelides, A. (2012). Perspective: Advances and challenges in treating van der Waals dispersion forces in density functional theory. The Journal of Chemical Physics. https://doi.org/10.1063/1.4754130

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.