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Record W6884472254 · doi:10.1021/jp407371c.s001

Hydrogen\nBond Cooperativity in Water Hexamers: Atomic\nEnergy Perspective of Local Stabilities

2016· article· en· W6884472254 on OpenAlexaff

Bibliographic record

VenueFigshare · 2016
Typearticle
Languageen
FieldChemistry
TopicSupramolecular Chemistry and Complexes
Canadian institutionsDalhousie University
Fundersnot available
KeywordsCooperativityHydrogen bondMoleculeHydrogen atomCovalent bondHydrogenCritical point (mathematics)Atom (system on chip)

Abstract

fetched live from OpenAlex

Atomic\nenergies are used to describe local stability in eight low-lying\nwater hexamers: prism, cage, boat 1, boat 2, bag, chair, book 1, and\nbook 2. The energies are evaluated using the quantum theory of atoms\nin molecules (QTAIM) at MP2/aug-cc-pVTZ geometries. It is found that\nthe simple, stabilizing cooperativity observed in linear hydrogen-bonded\nwater systems is diminished as clusters move from nearly planar to\nthree-dimensional structures. The prism, cage, and bag clusters can\nhave local water stabilities differing up to 5 kcal mol<sup>–1</sup> as a result of mixed cooperative and anticooperative interactions.\nAt the atomic level, in many cases a water may have a largely stabilized\noxygen atom but the net water stability will be diminished due to\nstrong destabilization of the water’s hydrogen atoms. Analysis\nof bond critical point (BCP) electron densities shows that the reduced\ncooperativity results in a decrease in hydrogen bond strength and\nan increase in covalent bond strength, most evident in the prism.\nThe chair, with the greatest cooperativity, has the largest average\nelectron density at the BCP per hydrogen bond, whereas the cage has\nthe largest total value for BCP density at all hydrogen bonds. The\ncage also has the second largest value (after the prism) for covalent\nbond critical point densities and an oxygen–oxygen BCP which\nmay factor into the experimentally observed stability of the structure.

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 categoriesInsufficient payload (model declined to judge)
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 score0.255
Threshold uncertainty score0.745

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)0.2560.000

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 head0.020
GPT teacher head0.231
Teacher spread0.211 · 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.

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

Citations0
Published2016
Admission routes1
Has abstractyes

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