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Record W2075670093 · doi:10.1139/p00-051

Time-dependent angular and energy distributions of sputtered copper atoms

2000· article· en· W2075670093 on OpenAlexvenueno aff
R.G. Vichev, D.S. Karpuzov

Bibliographic record

VenueCanadian Journal of Physics · 2000
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsnot available
Fundersnot available
KeywordsSputteringPhysicsAtomic physicsIonCopperAtom (system on chip)Atomic numberYield (engineering)TrimAtomic massEnergy (signal processing)Amorphous solidMass numberEnergetic neutral atomCollisionNuclear physicsThin filmNeutronMaterials scienceCrystallographyChemistry

Abstract

fetched live from OpenAlex

Time reference was introduced in the TRIM computer simulation code without changing the "event-driven" logic of the program. The code was applied to model the atomic collision cascades and sputtering of amorphous copper targets caused by bombardment of keV ions of different masses (Be, Ne, Ar, Cu, Xe, Au). Time-dependent characteristics of ion-induced processes such as mean number and energy of moving target atoms, number of collisions and vacancies (or) recoils created, sputtering yield, mean energy and angle of ejection of sputtered atoms were obtained, and their dependence on the ion/atom mass ratio is discussed. PACS No.: 79.20-m

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 score0.003
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.004
GPT teacher head0.175
Teacher spread0.171 · 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

Citations0
Published2000
Admission routes1
Has abstractyes

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