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Record W4413779477 · doi:10.3390/cryst15090766

Orientation Relationships and Interface Structuring in Au-Seeded TiO2 Nanowires

2025· article· en· W4413779477 on OpenAlex
Adel M. Abuamr, Minghui Lin, Yushun Liu, Guo‐zhen Zhu

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCrystals · 2025
Typearticle
Languageen
FieldMaterials Science
TopicCatalytic Processes in Materials Science
Canadian institutionsUniversity of Manitoba
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsStructuringOrientation (vector space)Interface (matter)SeedingMaterials scienceNanowireNanotechnologyGeometryEngineeringBusinessComposite materialAerospace engineeringMathematics

Abstract

fetched live from OpenAlex

The Au–TiO2 interface plays a critical role in heterogeneous catalysis and nanostructure synthesis relevant to renewable energy applications. Using Au-seeded TiO2 nanowires as the model system, we observe that, in addition to the commonly reported orientation relationships (ORs) and atomically sharp interfaces, Au–TiO2 interfaces can also exhibit ORs involving high-indexed planes, often accompanied by local disorder and atomic reconstructions involving multiple Ti-O monolayers. These interfacial rearrangements are promoted by high-temperature thermal treatment at 1000 °C during nanowire growth. The findings broaden our understanding of orientation relationships and interface structures in the Au–TiO2 system, offering valuable insights into interface-driven synthesis of oxide nanostructures and guiding future strategies for interface engineering in catalytic and electronic applications.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.052
Threshold uncertainty score0.390

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0000.000

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 head0.018
GPT teacher head0.289
Teacher spread0.271 · 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