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Record W4324133737 · doi:10.1051/epjap/2023220334

Angular distribution of sputtered particles from Inconel<sup>718</sup>: a simulation study

2023· article· en· W4324133737 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueThe European Physical Journal Applied Physics · 2023
Typearticle
Languageen
FieldEngineering
TopicIon-surface interactions and analysis
Canadian institutionsQueen's University
Fundersnot available
KeywordsInconelSputteringMaterials scienceAlloyAtomic physicsMetallurgyPhysicsThin filmNanotechnology

Abstract

fetched live from OpenAlex

The angular distribution of sputtered particles is an effective tool for obtaining information on the composition and structure of the target and even on the beam energies. The particles of Inconel 718 super alloy sputtered at full angle corresponding to each of the probes were calculated. The SRIM program associated with a new ANGULARE simulation program was used to obtain the sputtering yields and angular distribution of sputtered Fe, Al, Cr, Mo, Nb, Ni and Ti particles from Inconel 718 . The simulation was performed for a large number of incident ions (5 keV, Kr + ) and allows the computer to count the number of particles emitted at the solid angle. Angular distributions of pulverized Inconel 718 particles and pulverized yields were compared to the literature. Furthermore, the angular distribution of Inconel 718 for the differential sputtering yields shows an under-cosine tendency.

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.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.026
Threshold uncertainty score0.501

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.016
GPT teacher head0.242
Teacher spread0.225 · 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