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Record W1992944471 · doi:10.1063/1.1589735

Bound state properties and astrophysical applications of negatively charged hydrogen ions

2003· article· en· W1992944471 on OpenAlexaff
Alexei M. Frolov, Vedene H. Smith

Bibliographic record

VenueThe Journal of Chemical Physics · 2003
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsQueen's University
FundersLawrence Berkeley National LaboratoryNational Aeronautics and Space Administration
KeywordsIonAtomic physicsBound stateHydrogenPhysicsElectronCusp (singularity)State (computer science)Nuclear physicsQuantum mechanicsMathematicsGeometry

Abstract

fetched live from OpenAlex

Highly accurate energies and other bound state properties of the negatively charged hydrogen ions, 1H−, D−, T−, and ∞H−, are presented. The computed expectation values include the electron–nucleus and electron–electron delta-functions and cusp values, triple delta-functions and some other geometrical and kinematical properties. All variational energies and bound state properties determined in this study are significantly more accurate than results known from earlier computations in the literature. In particular, the total energies obtained in this study are −0.527 751 016 544 377 196 566 8 a.u. (the ∞H− ion), −0.527 649 048 202 999 950 354 0 a.u. (the T− ion), −0.527 598 324 686 477 854 280 5 a.u. (the D− ion) and −0.527 445 881 114 178 893 391 1 a.u. (the 1H− ion). The method used in this study is a fully nonadiabatic variational approach. A few important astrophysical applications are discussed for the H− ions, including their photodetachment.

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)0.001
metaresearch head score (Gemma)0.002
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.217
Teacher spread0.205 · 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

Citations20
Published2003
Admission routes1
Has abstractyes

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