Investigating the Surface Oxidation of UO<sub>2</sub> Thin Films Using in-Situ α-Irradiation-Electrochemistry Experiments
Notice bibliographique
Résumé
Nuclear power is a clean, safe, and economical energy source and after hydrothermal-powered sources, it is the second largest contributor to low-emitting electricity. However, the continuous usage of nuclear power entails the obligation to deal with the long-term management of used nuclear fuel. To do so, Canada plans to use a deep geological repository (DGR) system that will be built approximately 500-800 meters underground in Wabigoon Lake First Nation and the Township of Ignace, Ontario. The DGR consists of corrosion-resistant used fuel containers (UFCs) and other barriers, and it is expected to provide safe and long-term containment of radioactive waste. However, it is essential to consider the eventual failure of the UFCs which can expose fuel to groundwater and pose potential risks. Most of the radionuclides within the used fuel are trapped inside the fuel matrix and the fuel dissolution rate in groundwater determines how fast they can be released into the environment. The containers are expected to remain intact for a long time and any potential breach is likely to occur after β- and γ-radiation have largely decayed. This makes α-radiation the dominant radiation source at the fuel surface and a primary focus. The α-irradiation can cause accumulated radiation-induced damage to the fuel matrix and a possible scenario in this case is the formation of soluble U VI . This can increase the fuel’s dissolution rate as U VI is more soluble than U V and U IV by several orders of magnitude. Therefore, it is necessary to understand the direct effects of high-energy α-particles on the surface of UO 2 -based fuels, as these interactions may influence the fuel dissolution rate. This study uses a novel approach to investigate the effects of α-particles on UO 2 -based fuels via in-situ α-irradiation-electrochemistry experiments. This approach enables studying the surface oxidation state of the fuel in a thin-layer configuration exposed to α-irradiation. The method utilizes UO 2 thin film samples and the Tandetron Accelerator’s Rutherford backscattering beamline to deliver the high-energy high-flux α-particles. To prepare UO 2 thin films, electrodeposition parameters were first optimized via comprehensive characterization of the films deposited on copper substrates to assess their morphology, elemental composition, phase, and crystal structure. Overall, it was found that using less-negative potentials and current densities is optimal for achieving stable films with smaller cracks, better adherence, and higher crystallinity after annealing. UO 2 thin films were then deposited on copper-coated SiN windows using optimized electrodeposition parameters, and the samples were subsequently integrated into a custom-designed in-situ cell for α-irradiation-electrochemistry experiments. Investigations of the effects of high-energy α-particles via in-situ α-irradiation-electrochemistry experiments are currently underway. The surface oxidation states of UO 2 films after α-irradiation will be studied and the effects of α-irradiation on dissolution rate, surface morphology, and phase structure of the UO 2 samples will be presented.
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Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».