Evidence map›Paper›PMID 36713117›Full record

Articlenpj computational materials2021

Minimal-active-space multistate density functional theory for excitation energy involving local and charge transfer states.

Ruoqi Zhao, Christian P Hettich, Xin Chen, Jiali Gao

Open access · goldAbstract read
In one paragraph

Article in npj computational materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
5.1field-weighted citation impact, top 5% of its field
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

12 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Excited-State Energy Decomposition Analysis.Annual reports in computational chemistry · 2025
    Article
  3. Article
  4. Structure of Multi-State Correlation in Electronic Systems.Journal of chemical theory and computation · 2024
    Article
  5. Article
  6. Article
  7. Review
  8. Excimer Energies.The journal of physical chemistry letters · 2023
    Article
  9. Article
  10. Multistate Density Functional Theory of Excited States.The journal of physical chemistry letters · 2022
    Article
  11. Article
  12. Multistate Density Functional Theory: Theory, Methods, and Applications.Wiley interdisciplinary reviews. Computational molecular science
    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

4 authors at 3 institutions in 2 countries.

Ruoqi ZhaoInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518055, China.
Christian P HettichDepartment of Chemistry and Supercomputing Institute, University of Minnesota, Minneapolis, Minnesota 55455, USA.
Xin ChenInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518055, China.ORCID 0000-0002-5227-1334
Jiali GaoInstitute of Systems and Physical Biology, Shenzhen Bay Laboratory, Shenzhen 518055, China.ORCID 0000-0003-0106-7154
University of Minnesota · USJilin University · CNShenzhen Bay Laboratory · CN

Funding

BIOMOLECULAR INTERACTIONS AND ENZYMATIC PROCESSESR01GM046736 · NIGMS · UNIVERSITY OF MINNESOTA TWIN CITIES · PI JIALI GAO · 1993 to 2026
$6.5M
NIGMS NIH HHS R01 GM046736
6 · The paper itself

Abstract

Multistate density functional theory (MSDFT) employing a minimum active space (MAS) is presented to determine charge transfer (CT) and local excited states of bimolecular complexes. MSDFT is a hybrid wave function theory (WFT) and density functional theory, in which dynamic correlation is first incorporated in individual determinant configurations using a Kohn-Sham exchange-correlation functional. Then, nonorthogonal configuration-state interaction is performed to treat static correlation. Because molecular orbitals are optimized separately for each determinant by including Kohn-Sham dynamic correlation, a minimal number of configurations in the active space, essential to representing low-lying excited and CT states of interest, is sufficient to yield the adiabatic states. We found that the present MAS-MSDFT method provides a good description of covalent and CT excited states in comparison with experiments and high-level computational results. Because of the simplicity and interpretive capability through diabatic configuration weights, the method may be useful in dynamic simulations of CT and nonadiabatic processes.

Identifiers

PMID36713117
PMCPMC9881008
OpenAlexW3199608535

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.