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Record W2024706133 · doi:10.1002/qua.560040740

An investigation of the kohn-sham and slater approximations to the hartree-fock exchange potential

2009· article· en· W2024706133 on OpenAlexaff
D J McNaughton, Vedene H. Smith

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsQueen's University
Fundersnot available
KeywordsKohn–Sham equationsVirial theoremHartree–Fock methodAtomic orbitalSlater-type orbitalBinding energyQuantum mechanicsChemistryAtom (system on chip)Atomic physicsHartreeLinear combination of atomic orbitalsPhysicsElectronDensity functional theory

Abstract

fetched live from OpenAlex

The self-consistent-field equations for the ground state of the argon atom have been solved for a range of values of the parameter C in the local approximation: to the Hartree-Fock exchange potential. The orbital solutions with and without the Latter tail modification are used to investigate the relative merits of the Slater (C = 1) and Kohn-Sham (C = 2/3) local exchange potentials. To do this various expectation values are calculated. Total and one-electron binding energies are calculated as the expectation value of the Slater determinant built up from the orbitals and by using the statistical approximation to that expression. It is this statistical approximation for the total energy which Kohn-Sham varied to obtain their local exchange potential. When computing one-electron binding energies for frozen orbitals in the statistical approximation, it is only in the Slater case (C = 1) that the eigen-values of the self-consistent-field equations may be so interpreted. The role of the virial theorem and the improvements yielded by scaling are discussed. The Kohn-Sham model compares better with Hartree-Fock than the Slater model with regard to total energy, one-electron binding energies and the virial theorem. Other choices for C, according to various criteria, are discussed with the view towards a better statistical approximation to the Hartree-Fock exchange potential.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.174
Threshold uncertainty score0.212

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.009
GPT teacher head0.260
Teacher spread0.251 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations2
Published2009
Admission routes1
Has abstractyes

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