Evidence map›Paper›PMID 33449681›Full record

ArticleJournal of chemical theory and computation2021

Multilevel Density Functional Theory.

Gioia Marrazzini, Tommaso Giovannini, Marco Scavino, Franco Egidi, Chiara Cappelli, Henrik Koch

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Multilevel DFT Response Theory.Journal of chemical theory and computation · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Article
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  7. A Vision for the Future of Multiscale Modeling.ACS physical chemistry Au · 2024
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Integrated Multiscale Multilevel Approach to Open Shell Molecular Systems.Journal of chemical theory and computation · 2023
    Article
  13. Article
  14. Article
  15. Linear-Scaling Implementation of Multilevel Hartree-Fock Theory.Journal of chemical theory and computation · 2021
    Article
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

6 authors.

Gioia MarrazziniScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.
Tommaso GiovanniniDepartment of Chemistry, Norwegian University of Science and Technology, 7491 Trondheim, Norway.ORCID http://orcid.org/0000-0002-5637-2853
Marco ScavinoScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.
Franco EgidiScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID http://orcid.org/0000-0003-3259-8863
Chiara CappelliScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID http://orcid.org/0000-0002-4872-4505
Henrik KochScuola Normale Superiore, Piazza dei Cavalieri 7, 56126 Pisa, Italy.ORCID http://orcid.org/0000-0002-8367-8727

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following recent developments in multilevel embedding methods, we introduce a novel density matrix-based multilevel approach within the framework of density functional theory (DFT). In this multilevel DFT, the system is partitioned in an active and an inactive fragment, and all interactions are retained between the two parts. The decomposition of the total system is performed upon the density matrix. The orthogonality between the two parts is maintained by solving the Kohn-Sham equations in the MO basis for the active part only, while keeping the inactive density matrix frozen. This results in the reduction of computational cost. We outline the theory and implementation and discuss the differences and similarities with state-of-the-art DFT embedding methods. We present applications to aqueous solutions of methyloxirane and glycidol.

Identifiers

PMID33449681
PMCPMC7880574

What OpenQuestion holds

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Registered trials

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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.