Evidence map›Paper›PMID 41486398›Full record

ArticleCommunications chemistry2026

Convex Hartree-Fock theory for modeling ground state conical intersections.

Federico Rossi, Henrik Koch

Abstract read
In one paragraph

Article in Communications chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Federico RossiDepartment of Chemistry, Norwegian University of Science and Technology, Trondheim, Norway.ORCID http://orcid.org/0009-0009-5684-3721
Henrik KochDepartment of Chemistry, Norwegian University of Science and Technology, Trondheim, Norway. henrik.koch@ntnu.no.ORCID http://orcid.org/0000-0002-8367-8727

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 101020016
6 · The paper itself

Abstract

Accurate modeling of conical intersections is crucial in nonadiabatic molecular dynamics, as these features govern processes such as radiationless transitions and photochemical reactions. Conventional electronic structure methods, including Hartree-Fock, density functional theory, and their time-dependent extensions, struggle in this regime. Due to their single reference nature and separate treatment of ground and excited states, they fail to capture ground state intersections. Multiconfigurational approaches overcome these limitations, but at a prohibitive computational cost. In this work, we propose a modified Hartree-Fock framework, referred to as Convex Hartree-Fock, that optimizes the reference within a tailored subspace by removing projections along selected Hessian eigenvectors. The ground and excited states are then obtained through subsequent Hamiltonian diagonalization. We validate the approach across several test cases and benchmark its performance against time-dependent Hartree-Fock within the Tamm-Dancoff approximation.

Identifiers

PMID41486398
PMCPMC12820363

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