MétaCan
Menu
Back to cohort
Record W3148335432 · doi:10.1039/d0cp06557a

Nitroethane at high density: an experimental and computational vibrational study

2021· article· en· W3148335432 on OpenAlexafffund
Akio Yoshinaka, Serge Desgreniers, Anguang Hu

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2021
Typearticle
Languageen
FieldEngineering
TopicEnergetic Materials and Combustion
Canadian institutionsMedicine Hat CollegeUniversity of OttawaDefence Research and Development Canada
FundersUniversity of SaskatchewanCanadian Light Source
KeywordsNitroethaneRaman spectroscopyMonoclinic crystal systemChemistryInfrared spectroscopyDistortion (music)Unit (ring theory)Analytical Chemistry (journal)Materials scienceCrystallographyOpticsOrganic chemistryPhysicsMathematicsCrystal structureOptoelectronics

Abstract

fetched live from OpenAlex

The vibrational spectrum of liquid and solid nitroethane was measured as a function of pressure. Both Raman scattering and absorption IR spectroscopies were applied to samples of nitroethane, statically compressed at ambient temperature to a maximum pressure of 8.0 GPa and 16.9 GPa, respectively. A new amorphous to crystalline transition pressure was found to lie between 1.59-1.63 GPa. Davydov splitting of internal modes into two components suggests two molecules associated with the unit cell, which is consistent with the DFT predictions made in a previous study. For most bands below 1200 cm-1, pressure induced mode progression was consistent with DFT predictions. Conversely, observed mode shifts in the 2950-3100 cm-1 region were generally stiffer than their DFT counterparts. A discontinuity in mode evolution between 3.7-4.3 GPa was observed for a number of modes and shown to coincide with hydrogen bond rearrangement in this pressure region. Preferred orientation and crystallite strain might explain the increased scatter between the various pressure induced mode shift cycles. Time intervals on the order of ∼30 h may be required between spectra, in order to give the crystallites time to equilibrate their strain.

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 score0.030
Threshold uncertainty score0.725

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 head0.008
GPT teacher head0.221
Teacher spread0.212 · 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

Citations0
Published2021
Admission routes2
Has abstractyes

Explore more

Same venuePhysical Chemistry Chemical PhysicsSame topicEnergetic Materials and CombustionFrench-language works237,207