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Record W3013979573 · doi:10.1139/cjp-2019-0530

Design and construction of a compact rotary substrate heater for deposition systems

2020· article· en· W3013979573 on OpenAlexvenueno aff

Bibliographic record

VenueCanadian Journal of Physics · 2020
Typearticle
Languageen
FieldEngineering
TopicAdvanced Sensor Technologies Research
Canadian institutionsnot available
FundersConsejo Nacional de Ciencia y Tecnología
KeywordsHeating elementOxidizing agentResistive touchscreenHomogeneity (statistics)Deposition (geology)Substrate (aquarium)Temperature control

Abstract

fetched live from OpenAlex

We have designed and constructed a compact rotary substrate heater for the temperature range of 25 °C to 700 °C. The heater can be implemented in any deposition system where crystalline samples are needed. Its main function is to provide heat treatment in situ during film growth. The temperature is monitored and controlled by a temperature controller coupled to a type-K thermocouple. A heater case was designed to host a resistive element and at the same time allow the substrate holder to freely rotate. Rotation is crucial not only for film homogeneity during deposition but also for the elimination of temperature gradients on the substrate holder. To tolerate oxidizing and corrosive environments, the instrument was made of stainless steel, which also works as a “coolant”, taking advantage of heat dissipation. The instrument performs well for long periods of time with stable temperatures. We hope that this project is useful for laboratories wishing to have a compact rotary heater that meets the requirements for crystal growth and film homogeneity.

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)0.001
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: Bench or experimental
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.040
GPT teacher head0.234
Teacher spread0.194 · 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
GenreMethods

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".

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Citations0
Published2020
Admission routes1
Has abstractyes

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