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Record W1997763641 · doi:10.1002/qua.560140813

Studies of the energy density functional approach. I. Kinetic energy

2009· article· en· W1997763641 on OpenAlexaff
Y. Tal, R. F. W. Bader

Bibliographic record

VenueInternational Journal of Quantum Chemistry · 2009
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsMcMaster University
Fundersnot available
KeywordsKinetic energyOrbital-free density functional theoryQuantumDensity functional theoryCharge densityRange (aeronautics)Hartree–Fock methodAtom (system on chip)Hybrid functionalLimitingChemistryCharge (physics)Limit (mathematics)Basis (linear algebra)Local-density approximationAtomic physicsStatistical physicsPhysicsQuantum mechanicsMaterials scienceMathematics

Abstract

fetched live from OpenAlex

The quantum kinetic energy density is defined and its properties discussed. Its limiting values, at the nucleus of an atom and at large distances from it, are both shown to be proportional to the corresponding values of the charge density. The properties of existing kinetic energy density functionals are analyzed with respect to their local behavior and compared with the quantum results at the Hartree-Fock level. Their local behavior is found to be unsatisfactory. It is shown that the higher-order terms in the general gradient expansion, which may be considered as the basis for these models, diverge in the long-range limit. In view of these findings, a model of the kinetic energy density functional is proposed which possesses the correct limiting values for an exact as well as for a Hartree-Fock charge density. Its local behavior is found to be in good agreement with the quantum results. Thus, the integrated values of this kinetic energy density functional are in excellent general agreement with Hartree-Fock values, the percentage error in the estimate for argon, for example, being 0.04%. The basis for this model is a partitioning of the charge density into corelike and valence components. The charge density itself is not modeled, as the proposed partitioning scheme may be applied to any density, including the exact one. Consequently, the present model should be useful in the energy density functional approach to the study of the physical properties of atoms, molecules, and solids.

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 score0.175
Threshold uncertainty score0.368

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 head0.019
GPT teacher head0.263
Teacher spread0.244 · 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

Citations45
Published2009
Admission routes1
Has abstractyes

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