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Record W2908706470 · doi:10.1039/c8cp07171c

First-principles dynamics of collisional intersystem crossing: resonance enhanced quenching of C(<sup>1</sup>D) by N<sub>2</sub>

2019· article· en· W2908706470 on OpenAlexaff
Feng An, Shanyu Han, Xixi Hu, Daiqian Xie, Hua Guo

Bibliographic record

VenuePhysical Chemistry Chemical Physics · 2019
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAdvanced Chemical Physics Studies
Canadian institutionsMinistry of Education and Child Care
FundersMinistry of Science and Technology of the People's Republic of ChinaNational Natural Science Foundation of ChinaU.S. Department of Energy
KeywordsIntersystem crossingExcited stateQuenching (fluorescence)Atomic physicsAb initioPotential energyReaction dynamicsResonance (particle physics)Spin (aerodynamics)ChemistryGround stateInternal conversionPhysicsMolecular physicsMoleculeFluorescenceSpectral lineQuantum mechanicsThermodynamics

Abstract

fetched live from OpenAlex

Intersystem crossing is a common and important nonadiabatic process in molecular systems, and its first-principles characterization requires accurate descriptions of both the electronic structure and nuclear dynamics. Here, we report an accurate full-dimensional quantum dynamical investigation of collisional quenching of the excited state C(1D) atom to its ground state C(3P) counterpart by N2, which is an important process in both combustion and interstellar media, using full-dimensional ab initio potential energy surfaces and spin-orbit couplings. Satisfactory agreement with experimental rate coefficients is obtained. Despite relatively small spin-orbit couplings, it is shown that intersystem crossing is efficient because of multiple passages via long-lived collisional resonances.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.230
Teacher spread0.223 · 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 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

Citations10
Published2019
Admission routes1
Has abstractyes

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