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Record W1991775231 · doi:10.1143/jjap.51.08kb07

Nanomechanical Thermal Analysis of Indium Films Using Silicon Microcantilevers

2012· article· en· W1991775231 on OpenAlexaff
Changyong Yim, Minhyuk Yun, Seonghwan Kim, Namchul Jung, Sang-Hoon Lim, Moonchan Lee, Shi‐Woo Rhee, Thomas Thundat, Sangmin Jeon

Bibliographic record

VenueJapanese Journal of Applied Physics · 2012
Typearticle
Languageen
FieldPhysics and Astronomy
TopicMechanical and Optical Resonators
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsIndiumMaterials scienceCrystallizationSiliconThin filmNucleationComposite materialOptoelectronicsNanotechnologyChemical engineeringChemistry

Abstract

fetched live from OpenAlex

Indium thin films of different thicknesses were vacuum-deposited onto silicon microcantilevers. The temperature-dependent variations in the resonance frequency and deflection of the cantilevers were measured simultaneously and were used to determine the melting and crystallization temperatures of the indium films. The melting temperatures of the indium films were identical to that of bulk indium, whereas the crystallization temperatures decreased as the film thickness decreased. The reduction in crystallization temperature with decreasing thickness can be attributed to the tendency of thin films to homogeneously nucleate on nonwetting surfaces. Finally, the temperature-dependent variations in the Young's modulus and surface stress of the indium film were calculated.

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.

How this classification was reachedexpand

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)0.000
metaresearch head score (Gemma)0.000
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 score0.063
Threshold uncertainty score0.481

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
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 head0.017
GPT teacher head0.255
Teacher spread0.237 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations7
Published2012
Admission routes1
Has abstractyes

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