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Record W4390074452 · doi:10.11159/ijmmme.2023.006

Low Temperature Direct Bonding of Ge Chips with DBC Alumina Substrates using Ag Nanotwinned Films

2023· article· en· W4390074452 on OpenAlexvenueno aff
Yen‐Ting Chen, Yin-Hsuan Chen, Tung‐Han Chuang

Bibliographic record

VenueInternational Journal of Mining Materials and Metallurgical Engineering · 2023
Typearticle
Languageen
FieldEngineering
TopicSemiconductor materials and devices
Canadian institutionsnot available
FundersHsinchu Science Park Bureau, Ministry of Science and Technology, TaiwanMinistry of Science and Technology, Taiwan
KeywordsdBcMaterials scienceOptoelectronicsDirect bondingNanotechnologyComposite materialMetallurgySilicon

Abstract

fetched live from OpenAlex

Epitaxial Ag nanotwinned films with highly (111)preferred orientation were deposited by magnetron sputtering onto germanium substrates, some with the addition of a Ti layer and application of negative substrate bias.A high density of Ag nanotwins with an average twin spacing of 2.18 nm formed in the Ag columnar structures.Twin boundaries formed along the direction perpendicular to the growth direction of the film.The influences of the Ti interlayer and negative substrate bias on the formation of Ag nanotwins were also examined.The highly (111)-textured thin films had an impressive film surface roughness, as low as 11.2 nm.The (111)-oriented nanotwins provided higher surface diffusivity than did other orientations.The electrical resistivity decreased significantly as more ( 111)oriented nanotwinned structures formed.The bonding experiment was also performed at 200 ℃ for 60 min at a bonding pressure of 20 MPa, and extremely rare voids appeared at the bonding interface.The combination of low surface roughness, rapid diffusivity on the (111)-planes, and lower electrical resistivity present a high possibility of reliable interconnections for future microelectronic technology via direct bonding.

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 score0.044
Threshold uncertainty score0.649

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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

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