The DOI matches its Crossref record; 66 of the 66 references it cites were found in a registry or an index.
An improved chain of spheres for exchange algorithm
Open accessAbstract
In the present work, we describe a more accurate and efficient variant of the chain-of-spheres algorithm (COSX) for exchange matrix computations. Higher accuracy for the numerical integration is obtained with new grids that were developed using global optimization techniques. With our new default grids, the average absolute energy errors are much lower than 0.1 kcal/mol, which is desirable to achieve “chemical accuracy.” Although the size of the new grids is increased by roughly a factor of 2.5, the excellent efficiency of the original COSX implementation is still further improved in most cases. The evaluation of the analytic electrostatic potential integrals was significantly accelerated by a new implementation of rolled-out versions of the Dupuis–Rys–King and Head-Gordon–Pople algorithms. Compared to our earlier implementation, a twofold speedup is obtained for the frequently used triple-ζ basis sets, while up to a 16-fold speedup is observed for quadruple-ζ basis sets. These large gains are a consequence of both the more efficient integral evaluation and the intermediate exchange matrix computation in a partially contracted basis when generally contracted shells occur. With our new RIJCOSX implementation, we facilitate accurate self-consistent field (SCF) binding energy calculations on a large supra-molecular complex composed of 320 atoms. The binding-energy errors with respect to the fully analytic results are well below 0.1 kcal/mol for the cc-pV(T/Q)Z basis sets and even smaller than for RIJ with fully analytic exchange. At the same time, our RIJCOSX SCF calculation even with the cc-pVQZ basis and the finest grid is 21 times faster than the fully analytic calculation.
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
Dunning, T. H. (1989) · The Journal of Chemical Physics · doi:10.1063/1.456153 · Cited by 31,648
Weigend, F., & Ahlrichs, R. (2005) · Physical Chemistry Chemical Physics · doi:10.1039/b508541a · Cited by 30,598
Storn, R., & Price, K. (1997) · Journal of Global Optimization · doi:10.1023/a:1008202821328 · Cited by 29,569
Boys, S. F., & Bernardi, F. (1970) · Molecular Physics · doi:10.1080/00268977000101561 · Cited by 22,188
Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables
W., J. W., Abramowitz, M., & Stegun, I. A. (1965) · Mathematics of Computation · doi:10.2307/2004114 · Cited by 18,663
Accurate Coulomb-fitting basis sets for H to Rn
Weigend, F. (2006) · Physical Chemistry Chemical Physics · doi:10.1039/b515623h · Cited by 8,994
Rationale for mixing exact exchange with density functional approximations
Perdew, J. P., Ernzerhof, M., & Burke, K. (1996) · The Journal of Chemical Physics · doi:10.1063/1.472933 · Cited by 6,629
Software update: the ORCA program system, version 4.0
Neese, F. (2018) · WIREs Computational Molecular Science · doi:10.1002/wcms.1327 · Cited by 5,556
Self-citationEichkorn, K., Weigend, F., Treutler, O., & Ahlrichs, R. (1997) · Theoretical Chemistry Accounts: Theory, Computation, and Modeling (Theoretica Chimica Acta) · doi:10.1007/s002140050244 · Cited by 3,466
Self-consistent molecular Hartree—Fock—Slater calculations I. The computational procedure
Baerends, E. J., Ellis, D. E., & Ros, P. (1973) · Chemical Physics · doi:10.1016/0301-0104(73)80059-x · Cited by 3,153
Cited by
Software update: The ORCA program system—Version 5.0
Neese, F. (2022) · WIREs Computational Molecular Science · doi:10.1002/wcms.1606 · Cited by 4,963
Self-citationReversible Control of Native GluN2B-Containing NMDA Receptors with Visible Light
Geoffroy, C., Berraud-Pache, R., Chéron, N., McCort-Tranchepain, I., Doria, J., Paoletti, P., & Mony, L. (2024) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.4c00247 · Cited by 9
Metadata
- Authors
- Helmich-Paris, B., de Souza, B., Neese, F., & Izsák, R.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2021-09-13
- Volume
- 155
- Issue
- 10
- Pages
- 104109-104109
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W3200087632
- Cited by
- 573
- References
- 66
- FWCI
- 16.88
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: An improved chain of spheres for exchange algorithm. https://app.cochat.ai/papers/10.1063/5.0058766
- The paper
- Helmich-Paris, B., de Souza, B., Neese, F., & Izsák, R. (2021). An improved chain of spheres for exchange algorithm. The Journal of Chemical Physics. https://doi.org/10.1063/5.0058766
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.