Synthesis with Glucose Reduction Method and Low Temperature Sintering of Ag-Cu Alloy Nanoparticle Pastes for Electronic Packaging
Bibliographic record
Abstract
The metallic nanoparticle paste is receiving great interests recently because it is a potential interconnect material which can perform joining at low temperature and serves at high temperature. The nano-Ag paste and nano-Cu paste have been the hot areas of research, whereas the high cost and low resistance of electrochemical migration of the former and the relatively low anti-oxidation property of the latter limit their applications. In this study, Ag-Cu alloy nanoparticles with the size of 20–50 nm were synthesized with glucose as the reducing agent and NaOH as accelerator. The Ag-Cu nanoparticle paste showed no oxidation after sintering up to 350°C in the air, indicating that the antioxidant capacity was superior to that of the mechanically mixed Ag nanoparticles and Cu nanoparticles. In addition, the electrochemical migration resistance of the sintered Ag-Cu alloy pastes was better than that of the Ag nanoparticle paste. This paste can be used to effectively bond silver-plated copper bulks with maximum shear strength of 35 MPa.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".