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Record W2146029244 · doi:10.1109/iitc.1998.704912

Modelling microstructure development in trench-interconnect structures

2002· article· en· W2146029244 on OpenAlexaff
John E. Sanchez, Paul R. Besser

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCopper Interconnects and Reliability
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsTrenchCopper interconnectMaterials scienceMicrostructureAspect ratio (aeronautics)Texture (cosmology)Energy minimizationSurface energyGrain sizeInterconnectionAnisotropySurface finishComposite materialOpticsLayer (electronics)Computer scienceComputational chemistry

Abstract

fetched live from OpenAlex

The effects of surface and interfacial energies and trench geometry on microstructure evolution in damascene-processed interconnect structures are modelled. Grain growth and texture evolution are shown to depend on the magnitude of surface and interfacial energy variations with crystallographic orientation and with trench aspect ratio. Grain texture evolution in high aspect ratio trenches is driven by the minimization of grain sidewall interfacial energy, whereas the crystallographic evolution of grains within low aspect ratio structures is determined by more typical surface and lower interface energy minimization considerations. Comparisons are made to recent experimental results which characterize the development of crystallographic texture and grain size in damascene-processed interconnects.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.011
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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 science0.0010.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.029
GPT teacher head0.232
Teacher spread0.203 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations3
Published2002
Admission routes1
Has abstractyes

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