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Record W2039640512 · doi:10.1021/jp000776m

An Ab Initio and Density Functional Theory Investigation of the Structures and Energetics of Halide Ion−Alcohol Complexes in the Gas Phase

2000· article· en· W2039640512 on OpenAlexaff
Bogdan Bogdanov, Terrance B. McMahon

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsEnergeticsDensity functional theoryHalideGas phaseAb initioIonChemistryComputational chemistryAlcoholAb initio quantum chemistry methodsPhase (matter)Chemical physicsPhysical chemistryThermodynamicsInorganic chemistryMoleculeOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

The gas-phase clustering equilibria of halide ions to a homologous series of alcohol molecules, X - + HOR ⇌ X - (HOR) (X = F, Cl, Br, I; R = CH 3, CH 3 CH 2, (CH 3 ) 2 CH, (CH 3 ) 3 C), have been investigated using ab initio (MP2(full)) and density functional theory (B3LYP) computational methods. For both methods, extended basis sets, including diffuse and polarization functions for all atoms and anions, except I -, were used. For I - three different effective core potentials (ECP) were used to test their suitability for these systems. Comparing the Δ and Δ values obtained with various experimental data indicates that the MP2 and MP2//B3LYP methods perform best. Structural and spectroscopic features, as well as charge distributions, show interesting trends for the various X - (HOR) complexes, and the intrinsic contributions of the halide ions and the alcohol molecules to these trends are discussed. Finally, two-dimensional potential energy surface scans were performed for the X - (HOCH 3 ) complexes at the MP2/6-311++G(d,p) level of theory. These surfaces reveal the asymmetric nature of the potential energy surface for the heavier halide ions, and the “floppy” nature of all the halide ion adducts.

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 score0.137
Threshold uncertainty score0.171

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 head0.016
GPT teacher head0.271
Teacher spread0.254 · 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

Citations16
Published2000
Admission routes1
Has abstractyes

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