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Record W3203792234 · doi:10.15278/isms.2021.wd05

ROTATIONAL SPECTROSCOPY AND CONFORMATIONAL SPACE OF GLYCEROL DIMERS

2021· article· en· W3203792234 on OpenAlexaff
Jiarui Ma, Yunjie Xu, Nathan A. Seifert, Fan Xie

Bibliographic record

VenueProceedings of the 2021 International Symposium on Molecular Spectroscopy · 2021
Typearticle
Languageen
FieldChemistry
TopicMolecular Spectroscopy and Structure
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsConformational isomerismDimerMonomerHydrogen bondIntermolecular forceRotational spectroscopyChemistryGlycerolSpectroscopyCrystallographyMaterials scienceMoleculePolymerOrganic chemistryPhysics

Abstract

fetched live from OpenAlex

Glycerol (CH2OHCHOHCH2OH) is a colorless, odorless, and viscous liquid with a sweet taste and is widely used in food and drug industry. This polyol compound with three hydroxyl groups is capable of taking on many different intra- and intermolecular hydrogen bonding topologies, leading to highly complex conformational spaces for its monomer and dimer. Rotational spectra of five of its monomeric conformers had been reported before.[1],[2] In the current study, we apply CREST, a conformer-rotamer ensemble sampling tool developed by the Grimme group,[3] together with DFT calculations to systematically explore the conformational spaces of its monomer and dimer. Rotational spectra of glycerol in the 1-12 GHz range were recorded using a chirped-pulse Fourier transform microwave spectrometer and analyzed. Rotational transitions of several conformers of the binary glycerol complex were assigned. The structure-energy relationships of the conformers of the glycerol dimer and the corresponding monomer will be discussed.\n\n\n\n[1] V.V. Ilyushin, R.A. Motiyenko, F.J. Lovas, and D.F. Plusquellic, J. Mol. Spectrosc. 2018, 251,129.\n\n[2] G. Maccaferri, W. Caminati and P.G. Favero, J. Chem. Spc., Faraday Trans., 1997, 93(23), 4115.\n\n[3] S. Grimme, J. Chem. Theory Comput. 2019, 15, 2847.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.162
Threshold uncertainty score1.000

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 science0.0010.000
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 head0.003
GPT teacher head0.225
Teacher spread0.222 · 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.

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

Citations0
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the 2021 International Symposium on Molecular SpectroscopySame topicMolecular Spectroscopy and StructureFrench-language works237,207