The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Double-hybrid density-functional theory made rigorous
Open accessAbstract
We provide a rigorous derivation of a class of double-hybrid approximations, combining Hartree–Fock exchange and second-order Møller–Plesset correlation with a semilocal exchange-correlation density functional. These double-hybrid approximations contain only one empirical parameter and use a density-scaled correlation energy functional. Neglecting density scaling leads to a one-parameter version of the standard double-hybrid approximations. We assess the performance of these double-hybrid schemes on representative test sets of atomization energies and reaction barrier heights, and we compare to other hybrid approximations, including range-separated hybrids. Our best one-parameter double-hybrid approximation, called 1DH-BLYP, roughly reproduces the two parameters of the standard B2-PLYP or B2GP-PLYP double-hybrid approximations, which shows that these methods are not only empirically close to an optimum for general chemical applications but are also theoretically supported.
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
Cites
A new mixing of Hartree–Fock and local density-functional theories
Becke, A. D. (1993) · The Journal of Chemical Physics · doi:10.1063/1.464304 · Cited by 16,515
Cited by
Double‐hybrid density functionals
Goerigk, L., & Grimme, S. (2014) · WIREs Computational Molecular Science · doi:10.1002/wcms.1193 · Cited by 396
Combining Wave Function Methods with Density Functional Theory for Excited States
Ghosh, S., Verma, P., Cramer, C. J., Gagliardi, L., & Truhlar, D. G. (2018) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00193 · Cited by 253
Metadata
- Authors
- Sharkas, K., Toulouse, J., & Savin, A.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2011-02-10
- Volume
- 134
- Issue
- 6
- Pages
- 064113-064113
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2065862473
- Cited by
- 209
- References
- 1
- FWCI
- 10.95
- 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: Double-hybrid density-functional theory made rigorous. https://app.cochat.ai/papers/10.1063/1.3544215
- The paper
- Sharkas, K., Toulouse, J., & Savin, A. (2011). Double-hybrid density-functional theory made rigorous. The Journal of Chemical Physics. https://doi.org/10.1063/1.3544215
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.