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Record W2092480964 · doi:10.1103/physreva.63.022901

Stopping power of fast, partially stripped molecules and clusters: Vicinage effects in charge states

2001· article· en· W2092480964 on OpenAlexafffund
Z. L. Mišković, S.G. Davison, F. O. Goodman, W.-K. Liu, Y.-N. Wang

Bibliographic record

VenuePhysical Review A · 2001
Typearticle
Languageen
FieldPhysics and Astronomy
TopicAtomic and Molecular Physics
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaNational Natural Science Foundation of China
KeywordsIonPhysicsCoulomb explosionAtomic physicsCluster (spacecraft)Stopping powerCharge (physics)CoulombMoleculeScatteringSofteningEffective nuclear chargeIonizationNuclear physicsElectronQuantum mechanics

Abstract

fetched live from OpenAlex

We present a consistent variational approach to the vicinage effect on ion charges in a cluster made of partially stripped ions, based on the Brandt--Kitagawa theory for isolated ions, supplemented by dynamically screened interionic interactions. Interferences in cluster stopping power are shown to be strongly influenced by the ion-charge dependence on internuclear separations, and may give rise to energy loss enhancement or deenhancement, when compared to the case when the ion charges are frozen at the value corresponding to isolated ions at the same speed. In addition, the ion charge reduction is shown to be responsible for softening the interionic interactions responsible for Coulomb explosion. Calculations of the vicinage effect on ion charges are performed for a fast ${\mathrm{N}}_{2}$ molecule moving through a carbon target, and the roles of Coulomb explosion and multiple scattering in energy loss are discussed.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.587

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 head0.007
GPT teacher head0.271
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 designTheoretical or conceptual
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

Citations18
Published2001
Admission routes2
Has abstractyes

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