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Record W2022158323 · doi:10.1016/j.crci.2014.10.008

A unique trapping by crystal forces of a hydronium cation displaying a transition state structure

2015· article· en· W2022158323 on OpenAlexafffund
Lulu Huang, Chérif F. Matta, Sonjae Wallace, Lou Massa, Ivan Bernal

Bibliographic record

VenueComptes Rendus Chimie · 2015
Typearticle
Languageen
FieldChemistry
TopicCrystallography and molecular interactions
Canadian institutionsMount Saint Vincent UniversityDalhousie University
FundersU.S. Naval Research LaboratoryNatural Sciences and Engineering Research Council of CanadaOffice of Naval ResearchCanada Foundation for InnovationMount Saint Vincent UniversityElectronics Research Laboratory, Volkswagen of AmericaCity University of New York
KeywordsTrappingHydroniumChemistryCrystal structureCrystallographyChemical physicsTransition (genetics)State (computer science)Crystal (programming language)MoleculeOrganic chemistry

Abstract

fetched live from OpenAlex

An hydronium cation has been discovered which is unique among all crystallographic such ions of the Cambridge Database. Of composition H 7 O 3 + it has a structure that is totally different from those classically known with structures H 2 O-H 2 O-H 3 O + and H 2 O-(H 3 O + )-H 2 O. Unlike the crystallographically classical ones, the cation discussed here has a bifurcated hydrogen bond. From a central H 3 O + moiety a single hydrogen bond donor extends to two adjacent water molecules. Quantum chemical calculations in absence of the crystal environment demonstrate that the bifurcated hydrogen bond structure is that of a transition state for the H 7 O 3 + complex. Thus remarkably, it appears that crystal forces have captured the ion in what would otherwise be a short-lived and unstable transition state formation.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.236
Teacher spread0.223 · 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 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

Citations2
Published2015
Admission routes2
Has abstractyes

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