Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 171

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Conical Intersections in Solution: A QM/MM Study Using Floating Occupation Semiempirical Configuration Interaction Wave Functions

Toniolo, A., Granucci, G., Martínez, Todd J.·2003·The Journal of Physical Chemistry A

Abstract

We describe a hybrid quantum mechanical/molecular mechanical (QM/MM) method implemented in the context of floating-occupation molecular orbital semiempirical configuration interaction wave functions. The QM/MM approximation is compared to a fully QM treatment, emphasizing its accuracy with respect to features important to photochemical mechanisms such as conical intersection geometries and topography. The methodology we describe allows the location and characterization of solution-phase conical intersections for the first time. This is demonstrated explicitly by application to several biologically relevant chromophores solvated in clusters of up to 150 water molecules. The effect of solvation on the photochemical energy landscapes of these molecules is investigated, and we note a tendency for conical intersections to become absolute excited state minima upon hydration.

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/jp022468p

Cites

1 of 1 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 1 references

Cited by

See all 171

Metadata

Authors
Toniolo, A., Granucci, G., & Martínez, T. J.
Venue
The Journal of Physical Chemistry A
Published
2003-04-18
Volume
107
Issue
19
Pages
3822-3830
ISSN
  • 1089-5639 (ISSN-L)
  • 1520-5215
OpenAlex
W2001512062
Cited by
171
References
1
FWCI
9.07
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: Conical Intersections in Solution: A QM/MM Study Using Floating Occupation Semiempirical Configuration Interaction Wave Functions. https://app.cochat.ai/papers/10.1021/jp022468p
The paper
Toniolo, A., Granucci, G., & Martínez, T. J. (2003). Conical Intersections in Solution: A QM/MM Study Using Floating Occupation Semiempirical Configuration Interaction Wave Functions. The Journal of Physical Chemistry A. https://doi.org/10.1021/jp022468p

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.