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Record W4389003512 · doi:10.1016/j.fluid.2023.114010

Solid-liquid-vapour equilibrium conditions of tetra-iso-amyl ammonium bromide (TiAAB) semiclathrates formed from H2

2023· article· en· W4389003512 on OpenAlexaff
Ye Zhang, Matthew A. Clarke, Praveen Linga

Bibliographic record

VenueFluid Phase Equilibria · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicMethane Hydrates and Related Phenomena
Canadian institutionsUniversity of Calgary
FundersMinistry of Education - SingaporeNational University of Singapore
KeywordsChemistryTetraAmmonium bromideBromideAmmoniumInorganic chemistryHydrogen bromideOrganic chemistryBromineMedicinal chemistry

Abstract

fetched live from OpenAlex

The tetra-iso-amyl ammonium bromide (TiAAB) is synthesized according to Menschutkin's reaction and the fundamental characterization of TiAAB is conducted using ESI mass spectrum and 13 C NMR spectra, respectively. Using an isochoric equilibrium cell the H 2 semi-clathrates were formed in the presence of three different TiAAB solutions; a 15 wt% solution, a 30 wt% solution, and a 45 wt% solution. Using TiAAB allows for the formation of H 2 semi-clathrates at much milder P-T conditions as compared to other quaternary ammonium salts such as TBAB, TBAN, TBPB, and TBAF. The mixed H 2 /TiAAB semi-clathrates were found to form over a narrow range of temperatures from 303 K to 304 K, and the pressure ranged from atmospheric pressure to above 4 MPa. The experimental results obtained in the current work contribute to developing a method to store hydrogen gas with mixed H 2 /TiAAB semi-clathrate.

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 score0.004

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.308
Teacher spread0.288 · 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
Published2023
Admission routes1
Has abstractyes

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