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Record W1983199463 · doi:10.1021/jp0004765

Evaluation of Ionic Mobilities by Coupling the Scattering on Atoms and on Electron Density

2000· article· en· W1983199463 on OpenAlexaff
Alexandre A. Shvartsburg, Bei Liu, K. W. Michael Siu, Kai‐Ming Ho

Bibliographic record

VenueThe Journal of Physical Chemistry A · 2000
Typearticle
Languageen
FieldChemistry
TopicMass Spectrometry Techniques and Applications
Canadian institutionsYork University
Fundersnot available
KeywordsIonic bondingIonGraphiteScatteringChemistryCluster (spacecraft)Chemical physicsCarbon fibersElectronCoupling (piping)Range (aeronautics)Materials sciencePhysicsNuclear physics

Abstract

fetched live from OpenAlex

A recently developed method to calculate gas-phase mobilities by scattering on electron density isosurfaces (SEDI) has been applied to carbon cluster ions. The investigation has covered species belonging to all major structural families identified in drift tube studies (chains, monocyclic and bicyclic rings, graphite sheets, and fullerenes). Relative cross sections of C n - and C n + predicted by SEDI are in excellent agreement with the measurements across a wide range of cluster sizes and shapes. However, absolute values could not be fit for either charge state. This happens because SEDI ignores the long-range ion−buffer gas interaction known to be important for many systems including carbon clusters. To overcome this problem, we propose a new technique to evaluate mobilities by coupling SEDI with trajectory calculations. This approach allows one to introduce the repulsive interaction accurately and still account for the attractive part of the potential. This hybrid SEDI−TC treatment has been found substantially superior to all models previously described in reproducing both absolute and relative mobilities of C n anions and cations.

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)0.001
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 score0.013
Threshold uncertainty score0.540

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.012
GPT teacher head0.276
Teacher spread0.264 · 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

Citations51
Published2000
Admission routes1
Has abstractyes

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