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Record W7132925295

Temperature Dependence of the Deuterium Concentration in SiC Codeposits

2022· dissertation· W7132925295 on OpenAlexaff
Justin Aime Lantaigne

Bibliographic record

VenueTSpace · 2022
Typedissertation
Language
FieldMaterials Science
TopicFusion materials and technologies
Canadian institutionsInstitute for Christian Studies
Fundersnot available
KeywordsDeuteriumSilicon carbideGraphiteAnalytical Chemistry (journal)SputteringCarbon fibersCarbideSiliconDeposition (geology)
DOInot available

Abstract

fetched live from OpenAlex

Silicon carbide is a low-Z material seen as a possible alternative to graphite for some plasma-facing components in magnetic confinement fusion reactors. This work focuses on measurements of deuterium content of SiC codeposits created by ion beam sputter deposition at temperatures ranging from 300 – 900 K. Various surface analysis techniques are used to analyze deposits of SiC as well as C and thermal desorption spectroscopy is used to measure deuterium content. The temperature dependence very closely followed the trends observed for plasma-created codeposits, with the D content decreasing above 400 K. The D content of such deposits was also found to be very similar to the D content of carbon deposits created in the same way. This suggests that the tritium retention associated with SiC first wall materials would be very similar to that of a graphite first wall.

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)0.000
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.012
GPT teacher head0.295
Teacher spread0.283 · 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
Published2022
Admission routes1
Has abstractyes

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