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Record W2125685179 · doi:10.1149/1.2408858

Current Challenges with Copper Interconnects

2007· article· en· W2125685179 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

VenueECS Transactions · 2007
Typearticle
Languageen
FieldMaterials Science
TopicCopper Interconnects and Reliability
Canadian institutionsAdvanced Micro Devices (Canada)
FundersAdvanced Micro Devices
KeywordsElectromigrationInterconnectionIntegrated circuitCopper interconnectProcess (computing)Materials scienceFinite element methodCopperComputer scienceElectronic engineeringEngineering physicsElectrical engineeringEngineeringOptoelectronicsTelecommunicationsMetallurgyComposite materialStructural engineering

Abstract

fetched live from OpenAlex

In the integrated circuit industry, aluminum-based interconnects and oxide interlayer dielectrics have been replaced with copper interconnects in a dual inlaid architecture and with low-K dielectrics. Inlaid Cu lines offer higher conductivity, improved electromigration performance and a reduced cost of manufacturing. In this manuscript, the current challenges with integrating Cu in high-performance integrated circuits are detailed. As technologies scale, the many steps in the integrated process flow cannot be viewed as independent. The interactions between process steps (module interactions) that must be considered will be discussed. The development of a reliable and manufacturable technology requires a fundamental understanding of these interactions. A process-oriented finite element model (FEM) will be presented to capture the effect of individual process steps on the stress evolution during processing. Finally, the future trends for Cu interconnect will be suggested.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
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 score0.414
Threshold uncertainty score1.000

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)0.0010.000

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 head0.025
GPT teacher head0.272
Teacher spread0.247 · 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