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GS0707-324 Study on utilization of ionic migration for fabrication of Ag nanodendrites

2015· article· en· W2642410342 on OpenAlexaff
Takashi Nakajima, Yuan Li, Masumi SAKA

Bibliographic record

VenueThe Proceedings of the Materials and Mechanics Conference · 2015
Typearticle
Languageen
FieldEngineering
TopicElectrodeposition and Electroless Coatings
Canadian institutionsGeomechanica (Canada)
Fundersnot available
KeywordsFabricationDendrite (mathematics)Materials scienceDeposition (geology)NanotechnologyElectrochemistryIonic bondingChemical engineeringMoistureDrop (telecommunication)Composite materialChemistryElectrodeElectrical engineeringIonEngineeringOrganic chemistryPhysical chemistry

Abstract

fetched live from OpenAlex

It was revealed that a metalic nanodendrite with dendritic shape has catalytic activity. Therefore, the metalic nanodendrite is expected to be applied as a catalyst. An electrodeposition method has been used for fabrication of nanodendrite. However, this method has large environmental loads because it uses metal salt solution. Electrochemical migration that is called ionic migration (IM) is known as the phenomenon which causes insulation deterioration for electronic devices due to deposition of dendrite. Since this phenomenon occurs in the presence of moisture and DC bias, IM can be applied as a method for fabrication of dendrite with a lower environment load than the electrodeposition method. The purpose of this study is to show possibility of IM as a new method for fabrication of nanodendrite. In this study, a water-drop test was conducted to observe deposition process of Ag dendrite.

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 score0.060
Threshold uncertainty score0.211

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.041
GPT teacher head0.245
Teacher spread0.204 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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