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Record W2951389404 · doi:10.1021/jp020779u

An ab Initio and Density Functional Study of Al<sub>3</sub>As, Al<sub>3</sub>As<sup>-</sup>, AlAs<sub>3</sub>, and AlAs<sub>3</sub><sup>-</sup>

2002· article· en· W2951389404 on OpenAlexaff
Edet F. Archibong, Alain St‐Amant

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2002
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsChemistryGround stateAb initioAtomic physicsBasis setIonSpectral lineAb initio quantum chemistry methodsElectron affinity (data page)MoleculeDensity functional theoryComputational chemistryPhysics

Abstract

fetched live from OpenAlex

The low-lying electronic states of Al 3 As, AlAs 3, and the corresponding anions have been studied at the B3LYP and CCSD(T) levels using the 6-311+G( 2df ) one-particle basis set. The ground electronic states of Al 3 As - and Al 3 As have a cyclic planar C 2 v geometry. A 1 A 1 -( C 3 v ) state is located 0.2 eV above the 1 A 1 -( C 2 v ) ground state of Al 3 As. For AlAs 3, a near degeneracy is found between the 1 A 1 ( C 2 v ) and the 1 A‘ ( C s ) lowest states while the anion, AlAs -, has a 2 A‘ ( C s ) ground state. The adiabatic electron affinities of Al 3 As and AlAs 3 are calculated to be 1.8 and 1.9 eV, respectively. Electron detachment energies computed for the anions and the harmonic vibrational frequencies of both the anions and the neutral molecules are presented and discussed. It is anticipated that the computed data will aid future analysis and the interpretation of experimental photoelectron photodetachment spectra of these systems.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.018
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.233
Teacher spread0.222 · 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

Citations21
Published2002
Admission routes1
Has abstractyes

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