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Cited by 847

The DOI matches its Crossref record; 172 of the 172 references it cites were found in a registry or an index.

van der Waals forces in density functional theory: a review of the vdW-DF method

Open access
Berland, Kristian, Cooper, Valentino R, Lee, Kyuho, Schröder, Elsebeth, Thonhauser, T, Hyldgaard, Per, Lundqvist, Bengt I·2015·Reports on Progress in Physics

Abstract

A density functional theory (DFT) that accounts for van der Waals (vdW) interactions in condensed matter, materials physics, chemistry, and biology is reviewed. The insights that led to the construction of the Rutgers-Chalmers van der Waals density functional (vdW-DF) are presented with the aim of giving a historical perspective, while also emphasizing more recent efforts which have sought to improve its accuracy. In addition to technical details, we discuss a range of recent applications that illustrate the necessity of including dispersion interactions in DFT. This review highlights the value of the vdW-DF method as a general-purpose method, not only for dispersion bound systems, but also in densely packed systems where these types of interactions are traditionally thought to be negligible.

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Crossref · 10.1088/0034-4885/78/6/066501

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Metadata

Authors
Berland, K., Cooper, V. R., Lee, K., Schröder, E., Thonhauser, T., Hyldgaard, P., & Lundqvist, B. I.
Venue
Reports on Progress in Physics
Published
2015-05-15
Volume
78
Issue
6
Pages
066501
ISSN
  • 0034-4885 (ISSN-L)
  • 1361-6633
OpenAlex
W1561412729
Cited by
847
References
172
FWCI
43.14
Type
journal article
Language
en
Open access
hybrid

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The paper
Berland, K., Cooper, V. R., Lee, K., Schröder, E., Thonhauser, T., Hyldgaard, P., & Lundqvist, B. I. (2015). van der Waals forces in density functional theory: a review of the vdW-DF method. Reports on Progress in Physics. https://doi.org/10.1088/0034-4885/78/6/066501

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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.