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Record W1978057469 · doi:10.1002/qua.21050

Use of noncollinear exchange‐correlation potentials in multiplet resolutions by time‐dependent density functional theory

2006· article· en· W1978057469 on OpenAlexafffund
Fan Wang, Tom Ziegler

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2006
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsTime-dependent density functional theoryPhysicsSpin (aerodynamics)MultipletDegenerate energy levelsDensity functional theoryGeneralizationSuperposition principleStatistical physicsQuantum mechanicsMathematicsSpectral line

Abstract

fetched live from OpenAlex

Abstract The resolution of spin‐multiplets in an electronic system with a spin‐degenerate ground state requires a method that can deal with spin‐flip excitations. We recently showed that time‐dependent density functional theory (TDDFT) can treat such excitations provided that use is made of a noncollinear exchange‐correlation (XC) potential. The new formulation is a generalization of conventional TDDFT. The form of the new formulation is exactly the same as that of the conventional TDDFT for transitions that do not involve spin‐flips. However, the noncollinear TDDFT formulation allows in addition for spin‐flip transitions. In the present account, we explain in more detail why a noncollinear formulation of the XC potential is required. © 2006 Wiley Periodicals, Inc. Int J Quantum Chem, 2006

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0010.003
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.244
Teacher spread0.232 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations43
Published2006
Admission routes2
Has abstractyes

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