Evidence map›Paper›PMID 40783813›Full record

ArticleJournal of chemical theory and computation2025

Quantitative Description of Strongly Correlated Materials by Combining Downfolding Techniques and Tensor Networks.

Daan Vrancken, Simon Ganne, Daan Verraes, Tom Braeckevelt, Lukas Devos, Laurens Vanderstraeten, Jutho Haegeman, Veronique Van Speybroeck

Abstract read
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In one paragraph

Article in Journal of chemical theory and computation, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

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

8 authors.

Daan VranckenCenter for Molecular Modeling, Ghent University, Technologiepark 46, 9052 Zwijnaarde, Belgium.ORCID 0009-0006-4072-1613
Simon GanneCenter for Molecular Modeling, Ghent University, Technologiepark 46, 9052 Zwijnaarde, Belgium.
Daan VerraesCenter for Molecular Modeling, Ghent University, Technologiepark 46, 9052 Zwijnaarde, Belgium.
Tom BraeckeveltCenter for Molecular Modeling, Ghent University, Technologiepark 46, 9052 Zwijnaarde, Belgium.ORCID 0000-0002-9669-3715
Lukas DevosDepartment of Physics and Astronomy, Ghent University, Krijgslaan 281, 9000 Ghent, Belgium.
Laurens VanderstraetenDepartment of Physics and Astronomy, Ghent University, Krijgslaan 281, 9000 Ghent, Belgium.
Jutho HaegemanDepartment of Physics and Astronomy, Ghent University, Krijgslaan 281, 9000 Ghent, Belgium.
Veronique Van SpeybroeckCenter for Molecular Modeling, Ghent University, Technologiepark 46, 9052 Zwijnaarde, Belgium.ORCID 0000-0003-2206-178X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a high-accuracy procedure for electronic structure calculations of strongly correlated materials. To address limitations in current electronic structure methods, we employ density functional theory in combination with the constrained random phase approximation to construct an effective multiband Hubbard model, which is subsequently solved using tensor networks. Our work focuses on one-dimensional and quasi-one-dimensional materials, for which we employ the machinery of matrix product states. We apply this framework to the conjugated polymers

Identifiers

PMID40783813
PMCPMC12392463

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.