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Enregistrement W4412910065 · doi:10.1093/mam/ozaf048.728

Tracking Morphology Changes During Metal Oxidation Over a Broad Pressure Range Using ETEM With Simultaneous Secondary Electron and STEM Imaging

2025· article· en· W4412910065 sur OpenAlexaboutno aff
Hanglong Wu, Paul Miller, Frances M. Ross

Notice bibliographique

RevueMicroscopy and Microanalysis · 2025
Typearticle
Langueen
DomaineMaterials Science
ThématiqueElectron and X-Ray Spectroscopy Techniques
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMaterials scienceMetalTracking (education)Biomedical engineeringNanotechnologyMedicineMetallurgy

Résumé

récupéré en direct d'OpenAlex

Directly monitoring metal oxidation at the atomic scale in oxidative gas environments is crucial for applications in the semiconductor industry, catalysis and corrosion science. Over the past decades, environmental transmission electron microscopy (ETEM) has shown its great capabilities in uncovering the atomistic mechanisms governing metal and alloy oxidation [1-3]. When equipped with a secondary electron (SE) detector, ETEM also enables the simultaneous acquisition of surface topological information during gas reactions alongside the more standard STEM signals [4-5]. Despite extensive conventional ETEM studies of metal and alloy oxidation, the use of SE-STEM in oxidation experiments remains limited [5]. Furthermore, a key challenge in SE-STEM imaging in a gaseous environment is the limitation imposed by the maximum gas pressure allowed in the ETEM, typically up to tens of mbar. Extending SE-STEM imaging to higher pressure regimes within ETEM remains unexplored. In this study, we investigate metal oxidation at different pressures in an ETEM with an SE detector. Specifically, we evaluate the feasibility for extending SE-STEM imaging to higher pressures by employing a semi-open cell design. This customized semi-open cell configuration operates similarly to environmental SEM [6] and is achieved by introducing an opening at the top chip window of a closed gas cell (Figure 1). This design enables SE-STEM imaging at pressures significantly higher than the maximum gas pressure permitted in the ETEM column. We further discuss the importance of the opening size and its effect on the pressure gradient within the cell. Zinc (Zn) oxidation is selected as a model system for SE-STEM imaging under varying pressures due to its pressure-dependent oxidation kinetics and associated morphological changes, and its strong relevance to industrial catalysis and fuel cells. SE-STEM imaging of Zn oxidation was carried out in a probe corrected Hitachi HF5000-IS ETEM operating at 200 kV. Open-cell experiments were conducted using a single tilt heating holder, and closed cell and semi-closed cell experiments were performed in a MEMS heating and gas holder (both manufactured by Hitachi High-Tech Inc., Canada). We demonstrate the oxidation behavior of Zn across a range of pressures, from vacuum to ambient pressure, at elevated temperatures in different gas environments. The experiments yield movies of Zn sublimation (Figure 2A-B), surface reconstruction, and early-stage oxidation (Figure 2C-F) that allow us to discuss the mechanisms at work. Importantly, simultaneous SE-STEM imaging in both open-cell and semi-open cell configurations enables direct observation of surface morphology evolution during Zn sublimation and oxidation, offering new insights into the anisotropy of evaporation and oxidation in Zn metals. The semi-open cell design in this work offers a promising approach for investigating metal surface evolution during metal-gas reactions using SE signals, but we also anticipate broader application of SE-STEM in ETEM research for studying dynamic material processes [7]. Simultaneous secondary electron (SE) imaging of materials in a transmission electron microscope (TEM) under varying pressures. (A) Schematics of three different setups for imaging samples in a gaseous environment: open-cell environmental TEM (left), closed gas cell system (middle) and semi-open gas cell system (right). (B) Annular dark field (ADF)-STEM image and the corresponding SE-STEM image of Zn/ZnO core-shell nanoplates. The combination of ADF-STEM and SE-STEM imaging clearly reveals the selective removal of Zn at the two corners of a triangular nanoplate, while the ZnO surface shell remains intact. Early-stage Zn oxidation observed using ETEM with a SE detector. (A) Schematic showing the sublimation of a Zn/ZnO core-shell nanoplate during ETEM imaging. (B) Atomic-resolution SE-STEM imaging of the Zn sublimation process in vacuum at 200 °C. Zn vapor forms a new layer of ZnO due to residual O2 present in the TEM vacuum. (C) Schematic representation of Zn oxidation in O2. (D) Atomic-resolution BF-STEM imaging of the early-stage Zn oxidation in O2 (2.6×10-1 Pa) at 200 °C, revealing the formation of a new ZnO layer. (E) SE-STEM images exhibiting the growth of ZnO after 60 min of exposure to O2 at 200 °C. (F) BF-STEM image showing new ZnO layers formed on {001} facets, observed from the [010] viewing direction.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,012
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,006
Tête enseignante GPT0,264
Écart entre enseignants0,258 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2025
Routes d'admission1
Résumé présentoui

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