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Record W2094788158 · doi:10.1021/jp001887o

Computer Simulation Study of <i>tert</i>-Butyl Alcohol. 2. Structure in Aqueous Solution

2000· article· en· W2094788158 on OpenAlexafffund
Peter G. Kusalik, Alexander P. Lyubartsev, Dan L. Bergman, Aatto Laaksonen

Bibliographic record

VenueThe Journal of Physical Chemistry B · 2000
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsDalhousie University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsAqueous solutionChemistryAlcoholSteric effectsMoleculeHydrogen bondMethanolDiffusionComputational chemistryPhysical chemistryThermodynamicsOrganic chemistry

Abstract

fetched live from OpenAlex

MD simulations of tert -butyl alcohol (TBA), dissolved in water, are carried out. Two aqueous alcohol solutions are studied, a dilute 2 mol % and a more concentrated, 8 mol % solution. Two new potential models are used for TBA, a simple rigid three-site model and a flexible all-atom 15-site model. In solution, the flexible TBA model is dissolved with flexible SPC water molecules, while the rigid tert -butyl alcohol is simulated in rigid SPC/E water. This study principally focuses on the hydration structure around TBA and a possible self-association of TBA due to the strong amphiphilic character of this bulky molecule. In the more concentrated solutions and for both TBA models, small aggregates of a few alcohol molecules are formed spontaneously, persisting several tens of picoseconds. Tail-to-tail pairwise configurations of alcohols are preferred. In the dilute solution, little tendency to aggregation is observed during the simulation. The diffusion of the alcohols is reduced considerably as the concentration of the solution increases. Water structure is significantly enhanced upon the addition of TBA. The hydration structure of both models of TBA is markedly different from that of methanol, indicating that the steric bulk of a tert -butyl group can have large, though indirect, effect on hydrogen bonding.

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 score0.039
Threshold uncertainty score0.298

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 head0.009
GPT teacher head0.271
Teacher spread0.262 · 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

Citations97
Published2000
Admission routes2
Has abstractyes

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