Etudes expérimentales et simulations des processus de corrosion aux interfaces matériaux métalliques-environnement
Bibliographic record
Abstract
L’objectif de ce travail vise, a partir d’un modele mesoscopique base sur les automates cellulaires, qui prend en compte un petit nombre de processus simples, a interpreter les simulations numeriques obtenues afin de mieux apprehender la complexite de la corrosion. Dans la premiere partie de ce memoire, le modele est applique a deux cas : un metal protege par une couche isolante presentant un defaut et un metal recouvert d’une couche d’oxyde. Les reactions anodiques et cathodiques simulees peuvent se faire soit sur un meme site (reactions localisees) soit sur deux sites differents (reactions spatialement separees). L’etude des reactions localisees montre le detachement d’ilots metalliques au cours de la corrosion. Ces resultats correspondent a un phenomene mis en evidence experimentalement l’effet chunk, responsable de deviations a la loi de Faraday. Il est montre que la vitesse effective de corrosion est amplifiee par la production des ilots resultant d’un couplage corrosion-erosion. Les reactions anodiques et cathodiques spatialement separees sont ensuite etudiees montrant l’influence de la diffusion des especes acido-basiques dans l’electrolyte et mettant en evidence, un regime initial ou la solution reste homogene, suivi d’un regime limite par la diffusion ou apparaissent des heterogeneites chimiques engendrant des heterogeneites physiques (rugosite du front). Le couplage entre les phenomenes chimiques et morphologiques est clairement demontre. Enfin dans une derniere partie, nous nous sommes attaches a mettre en evidence experimentalement les deviations a la loi de Faraday dans le cas de la corrosion du zinc en milieu acide sulfurique.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".