Evidence map›Paper›PMID 36724889›Full record

ArticleJournal of chemical theory and computation2023

Ab Initio Static Exchange-Correlation Kernel across Jacob's Ladder without Functional Derivatives.

Zhandos Moldabekov, Maximilian Böhme, Jan Vorberger, David Blaschke, Tobias Dornheim

Abstract read
In one paragraph

Article in Journal of chemical theory and computation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. The journal of physical chemistry letters · 2024
    Article
  5. Analysing the dynamic structure of warm dense matter in the imaginary-time domain: theoretical models and simulations.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2023
    Article
  6. 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

5 authors.

Zhandos MoldabekovCenter for Advanced Systems Understanding (CASUS), D-02826Görlitz, Germany.ORCID 0000-0002-9725-9208
Maximilian BöhmeCenter for Advanced Systems Understanding (CASUS), D-02826Görlitz, Germany.
Jan VorbergerHelmholtz-Zentrum Dresden-Rossendorf (HZDR), D-01328Dresden, Germany.
David BlaschkeInstitute of Theoretical Physics, University of Wroclaw, 50-204Wroclaw, Poland.
Tobias DornheimCenter for Advanced Systems Understanding (CASUS), D-02826Görlitz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The electronic exchange─correlation (XC) kernel constitutes a fundamental input for the estimation of a gamut of properties such as the dielectric characteristics, the thermal and electrical conductivity, or the response to an external perturbation. In this work, we present a formally exact methodology for the computation of the system specific static XC kernel exclusively within the framework of density functional theory (DFT) and without employing functional derivatives─no external input apart from the usual XC-functional is required. We compare our new results with exact quantum Monte Carlo (QMC) data for the archetypical uniform electron gas model under both ambient and warm dense matter conditions. This gives us unprecedented insights into the performance of different XC functionals, and it has important implications for the development of new functionals that are designed for the application at extreme temperatures. In addition, we obtain new DFT results for the XC kernel of warm dense hydrogen as it occurs in fusion applications and astrophysical objects. The observed excellent agreement to the QMC reference data demonstrates that presented framework is capable to capture nontrivial effects such as XC-induced isotropy breaking in the density response of hydrogen at large wave numbers.

Identifiers

PMID36724889
PMCPMC9979610

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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.