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Record W4408522581 · doi:10.1021/acs.jpcc.5c00560

Hydration of Hexafluoroacetone on Ice

2025· article· en· W4408522581 on OpenAlexafffund
Johanes K. Utama, Joshua M. Sims, Carine Michel, Javier B. Giorgi

Bibliographic record

VenueThe Journal of Physical Chemistry C · 2025
Typearticle
Languageen
FieldChemistry
TopicInorganic Fluorides and Related Compounds
Canadian institutionsUniversity of Ottawa
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsHexafluoroacetoneAstrobiologyGeologyEnvironmental scienceChemistryPhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

We unravel the fate of hexafluoroacetone (HFA), a PFAS degradation product, on ice by combining surface science and DFT. Temperature-programmed desorption (TPD) and X-ray photoelectron spectroscopy (XPS) experimentally show that HFA diffuses into the ice film and readily and completely reacts to form the diol (1,1,1,3,3,3-hexafluoropropane-2,2-diol). Desorption energies were measured for HFA from the underlying substrate (Pt(111)) for the desorption of the ice film and for the diol as 44, 52, and 62 kJ/mol, respectively. Calculations show that the formation of the diol is favorable on the ice surface by at least 29 kJ/mol. This study is fundamental to better understand the reactivity of HFA on ice in atmospheric conditions since it clearly demonstrates that the diol will dominate reactivity with ice in the environment.

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 score0.084
Threshold uncertainty score0.262

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 head0.005
GPT teacher head0.228
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 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

Citations1
Published2025
Admission routes2
Has abstractyes

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