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Record W7108229979 · doi:10.37665/jsmttwigm23780

A Nanocopper Based Alternative to High Temperature Solder

2017· article· W7108229979 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

VenueJournal of Surface Mount Technology · 2017
Typearticle
Language
FieldMaterials Science
TopicNanoporous metals and alloys
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsSolderingSolder pasteCreepMicrostructureReliability (semiconductor)MicroelectronicsGrain sizeJoint (building)Porosity

Abstract

fetched live from OpenAlex

ABSTRACT Alternatives to high temperature solder remain limited. The CuantumFuseTM material under development by the Advanced Technology Center at the Lockheed Martin Corporation appears to be the only one to offer the potential for a drop-in replacement of solder as far as SMT assembly equipment and processes are concerned. The Cu nanoparticle paste is printable with the consistency of solder paste and the particles fuse together at 200°C in a conventional full convection reflow oven. This is motivating ongoing studies of the associated reliability. The challenge is that the resulting Cu joint is nano-crystalline and nano-porous, lending it some unique properties, and that the microstructure is not thermally stable. However, the joint does remain solid up to higher temperatures than envisioned in any microelectronics application. Assessment of the reliability of existing joints, not to mention the optimization and prediction of the reliability of new versions of the material, will require much more than just accelerated testing. Different versions of the nano-Cu material are being characterized in terms of creep rates and mechanisms as well as the behavior in both thermal and isothermal cycling. Microstructures are characterized by FIB polishing, to preserve porosity structures, followed by optical microscopy, SEM, and TEM. Generalization of results requires us to distinguish between competing effects of the distributions of grain sizes and pores on creep. Experiments were extended to include nano-porous Au samples with much larger grain sizes to help resolve that. We conclude that counteracting effects of grain sizes and pore distributions on ductility, strength and fatigue resistance may offer opportunities for optimization of nano-particle based joint structures. So far we argue that comparisons of the present nano-Cu material to solder in accelerated thermal or isothermal cycling will tend to be extremely conservative.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient 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 score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0030.001
Research integrity0.0010.001
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 head0.013
GPT teacher head0.276
Teacher spread0.262 · 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