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Record W1844381478 · doi:10.1109/plasma.2004.1339677

Study of laser plasmas in straight magnetic fields for thin film deposition

2004· article· en· W1844381478 on OpenAlexaff
Hong Sang, R. Rankin, Ying Y. Tsui

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicLaser-induced spectroscopy and plasma
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPlasmaMaterials scienceLaserPulsed laser depositionDeposition (geology)CoatingThin filmLangmuir probeOpticsOptoelectronicsPlasma diagnosticsAnalytical Chemistry (journal)ChemistryNanotechnologyPhysics

Abstract

fetched live from OpenAlex

Summary form only given. Pulsed Laser Deposition is a versatile technique for depositing a variety of materials in thin films form. One complication with pulsed laser deposition is the inclusion of micron and submicron size debris particles from the source materials. These particles arise from the release of solid material and liquid droplets from the shock wave produced by the laser produced plasma. An additional issue arising in the deposition process is the rapid fall off in coating flux with distance from the plasma source point. Thus if high coating rates are desire, the substrate must be located close to the plasma source. In this paper the guiding of plasmas produced by nanosecond ultraviolet laser pulses using straight solenoidal magnetic fields has been studied as a mean of giving a low-debris, controlled deposition source for the production of thin films. Experimental study on the guiding efficiency of the coating flux at various magnetic field strength, using Langmuir probes and quartz crystal monitor has been carried out. The transport of the ionization portion of the laser plasma was measured by arrays of Langmuir probes and the total coating flux including neutrals was measured by a quartz crystal monitor. In addition to the magnetic field strengths, the orientation of the target and the repetition rate of the laser also affect the transport efficiency. These results were presented and compared to predictions of plasma guiding using numerical plasma simulation models.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.955
Threshold uncertainty score0.345

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 head0.010
GPT teacher head0.225
Teacher spread0.215 · 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 designSimulation or modeling
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
Published2004
Admission routes1
Has abstractyes

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