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Record W7132925295

Temperature Dependence of the Deuterium Concentration in SiC Codeposits

2022· dissertation· W7132925295 on OpenAlex
Justin Aime Lantaigne

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

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.027
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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