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Record W2314603238 · doi:10.1109/nano.2014.6968101

Molecular dynamics study of nano-scale Ag surface electromigration and effect of Pd coating layer

2014· article· en· W2314603238 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

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicCopper Interconnects and Reliability
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsElectromigrationMicroelectronicsMaterials scienceCoatingNanoscopic scaleMolecular dynamicsElectrical conductorNano-Layer (electronics)Condensed matter physicsNanotechnologyChemical physicsComposite materialChemistryComputational chemistryPhysics

Abstract

fetched live from OpenAlex

Ag is the most conductive metal but is vulnerable to electromigration (EM), which can limit its application in e.g. microelectronics. Molecular dynamics (MD) is used to simulate the migrating behavior of an Ag surface by adding an extra directional force on each atom. The migration of Ag atoms is found to be limited to the topmost 4 (002) lattice planes in the first 40 ns while atoms in the crystal bulk remain oscillating around their equilibrium positions. A Pd coating layer is shown to be a protection from EM for an Ag surface. After adding a layer of 9 Pd (002) lattice planes, the same procedure is repeated with different forces. No migration happens until the extra directional force become so large that all atoms of the model end up moving freely. The MD model presented in this paper can lead to an understanding of EM at the atomic scale and a guideline for potential reliability improvement of microelectronics by coating technology.

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)0.001
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 score0.030
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.004
GPT teacher head0.238
Teacher spread0.234 · 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

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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