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Record W3111775899 · doi:10.33137/juls.v14i1.35211

Quantum Chemical Study of the Formation of Urea in Interstellar Medium

2020· article· en· W3111775899 on OpenAlexafffundvenue
Linglan Zhu, Akash Kothari, Jon Babi, Natalie J. Galant, Anita Rágyanszki, Imre G. Csizmadia

Bibliographic record

VenueJournal of Undergraduate Life Sciences · 2020
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsYork UniversityUniversity of Toronto
FundersUniversity of Toronto
KeywordsInterstellar mediumUreaQuantum chemicalQuantumInterstellar cloudChemistryPhysicsChemical physicsAstrobiologyAstrophysicsQuantum mechanicsOrganic chemistryGalaxyMolecule

Abstract

fetched live from OpenAlex

Background: Many observational studies have found the presence of organic molecules in interstellar medium (ISM) via spectroscopy. NH2CONH2 (urea) was first detected in ISM in 2014. Containing two NH2 groups, urea is an important biological molecule in metabolism as a carrier for waste nitrogen. The discovery of urea in ISM suggests the possibility of the formation of other biomolecules which contain peptide bonds, such as proteins. This supports the origin of life theory proposing that these biomolecules were initially formed in space and later arrived to Earth.
 Methods: This study investigates two possible reaction pathways for the formation of protonated urea (ureaH+) in dense molecular clouds via molecules previously observed in the ISM, formamide (HCONH2) and protonated hydroxylamine (NH2OH2+). The thermodynamics and optimized geometries were calculated for the final steps of the formation of ureaH+ using Gaussian16 at the APFD/6-31G(d,p) level of theory and a transition state was confirmed.
 Results: The overall mechanism, as well as the studied proton rearrangement of an intermediate to ureaH+, were found to be exothermic and exergonic processes.
 Conclusion: From the calculations, the conditions of ISM provide an adequate environment for the formation of ureaH+ and urea.

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 score0.364
Threshold uncertainty score0.186

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 head0.032
GPT teacher head0.280
Teacher spread0.248 · 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

Citations4
Published2020
Admission routes3
Has abstractyes

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