MétaCan
Menu
Back to cohort
Record W4280643922 · doi:10.1016/j.rechem.2022.100365

Extension of the approximate 3D-RISM-KH molecular solvation theory to liquid aniline and pyridines

2022· article· en· W4280643922 on OpenAlexafffund
Dipankar Roy, Andriy Kovalenko

Bibliographic record

VenueResults in Chemistry · 2022
Typearticle
Languageen
FieldPhysics and Astronomy
TopicSpectroscopy and Quantum Chemical Studies
Canadian institutionsNational Institute for NanotechnologyUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of CanadaConsortium canadien en neurodégénérescence associée au vieillissementWestern Canada Research GridCompute Canada
KeywordsSolvationAnilineImplicit solvationChemistryComputational chemistryStackingDensity functional theoryPolarizabilityPyridinePolarizable continuum modelMolecular dynamicsElectronic structureThermodynamicsPhysical chemistryMoleculePhysicsOrganic chemistry

Abstract

fetched live from OpenAlex

Four liquid aromatic nitrogen-containing compounds, viz. aniline, pyridine, 2-methylpyridine, and 2,6-dimethylpyridine, were analyzed with molecular dynamics simulations, three-dimensional reference interaction site model, and density functional theory calculations. These liquids are found to have multimeric ordered structures stabilized by π-stacking and C-H∙∙∙π interactions. The solutes solvation free energy computed with the reference interaction site model is in good agreement with the experimental results, and performs better than the conductor like polarizable continuum model used in electronic structure calculation.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.006
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
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 head0.007
GPT teacher head0.241
Teacher spread0.235 · 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 designSimulation or modeling
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

Citations3
Published2022
Admission routes2
Has abstractyes

Explore more

Same venueResults in ChemistrySame topicSpectroscopy and Quantum Chemical StudiesFrench-language works237,207