Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 618

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Self-Consistent Field Calculations of Excited States Using the Maximum Overlap Method (MOM)

Gilbert, Andrew T. B., Besley, Nicholas A., Gill, Peter M. W.·2008·The Journal of Physical Chemistry A

Abstract

We present a simple algorithm, which we call the maximum overlap method (MOM), for finding excited-state solutions to self-consistent field (SCF) equations. Instead of using the aufbau principle, the algorithm maximizes the overlap between the occupied orbitals on successive SCF iterations. This prevents variational collapse to the ground state and guides the SCF process toward the nearest, rather than the lowest energy, solution. The resulting excited-state solutions can be treated in the same way as the ground-state solution and, in particular, derivatives of excited-state energies can be computed using ground-state code. We assess the performance of our method by applying it to a variety of excited-state problems including the calculation of excitation energies, charge-transfer states, and excited-state properties.

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/jp801738f

Cites

2 of 2 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 2 references

Cited by

See all 618

Metadata

Authors
Gilbert, A. T. B., Besley, N. A., & Gill, P. M. W.
Venue
The Journal of Physical Chemistry A
Published
2008-08-26
Volume
112
Issue
50
Pages
13164-13171
ISSN
  • 1089-5639 (ISSN-L)
  • 1520-5215
OpenAlex
W2027787937
Cited by
618
References
2
FWCI
4.45
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: Self-Consistent Field Calculations of Excited States Using the Maximum Overlap Method (MOM). https://app.cochat.ai/papers/10.1021/jp801738f
The paper
Gilbert, A. T. B., Besley, N. A., & Gill, P. M. W. (2008). Self-Consistent Field Calculations of Excited States Using the Maximum Overlap Method (MOM). The Journal of Physical Chemistry A. https://doi.org/10.1021/jp801738f

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.