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Record W4393089247 · doi:10.1021/acsaelm.3c01104

Effect of Annealing Temperature on Minimum Domain Size of Ferroelectric Hafnia

2024· article· en· W4393089247 on OpenAlex

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

VenueACS Applied Electronic Materials · 2024
Typearticle
Languageen
FieldEngineering
TopicFerroelectric and Negative Capacitance Devices
Canadian institutionsKootenay Association for Science & Technology
FundersSamsungMinistry of Science and ICT, South KoreaKorea Advanced Institute of Science and TechnologyNational Research Foundation of KoreaSeoul National UniversityNational Research Foundation
KeywordsFerroelectricityMaterials scienceAnnealing (glass)Grain sizeOrthorhombic crystal systemPolarization (electrochemistry)Monoclinic crystal systemTinOptoelectronicsCondensed matter physicsCrystallographyCrystal structureComposite materialDielectricMetallurgyChemistryPhysics

Abstract

fetched live from OpenAlex

We optimized the annealing temperature of the Hf 0.5 Zr 0.5 O 2 /TiN thin-film heterostructure via a multiscale analysis of the remnant polarization, crystallographic phase, minimum ferroelectric domain size, and average grain size. The remnant polarization and minimum domain size were closely related to the relative orthorhombic and monoclinic phase contents. The minimum domain size and optimum remnant polarization and capacitance were obtained by thermal annealing of Hf 0.5 Zr 0.5 O 2 /TiN/Si at 500 and 600 °C, respectively. The results suggest that the minimum domain size is more important than the sheer magnitude of the remnant polarization because of the retention and fatigue of switchable polarization in ferroelectric nanodevices. This study can contribute to the development of ultralow-power logic transistors and next-generation nonvolatile memory devices.

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)
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 score0.012
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 science0.0000.000
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 head0.003
GPT teacher head0.210
Teacher spread0.207 · 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