Low temperature sintering-bonding through in-situ formation of Ag nanoparticles using micro-scaled Ag_2O composite paste
Bibliographic record
Abstract
In order to reduce the cost of using Ag nanoparticle paste as bonding materials in electronic packaging, micro-scaled Ag2O powders were mixed with triethylene glycol (TEG) to form a paste to replace the Ag particle paste. The reaction mechanism of in-situ formation of Ag nanoparticles, the sintering characteristics of micro-Ag2O paste at low temperature, and the bonding of Ag-coated Cu bulks using this paste were investigated. The results reveal that the Ag2O particles in the paste were more easily transformed into Ag nanoparticles than microAg2O itself, and with increasing the sintering temperature, more Ag nanoparticles formed and grew larger by sintering, accompanied with some gaseous products which could escape easily. The effect of sintering-bonding time on the strength of joints fabricated at 250 ℃ under a pressure of 2 MPa was analyzed. The average shear strength of the joints increased with sintering-bonding time and reached about 24 MPa when the sintering-bonding time was 5 min. And the microstructure of the fractured surface and the crosssection of typical joints made at 250 ℃ under 2 MPa were also examined.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".