MétaCan
Menu
Back to cohort
Record W7108215830 · doi:10.37665/hamigfs85311

Latest Results on Pb-Free Solder Alloys for Harsh Environments

2018· article· W7108215830 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

VenueHarsh Environments Conference · 2018
Typearticle
Language
FieldEngineering
TopicElectronic Packaging and Soldering Technologies
Canadian institutionsComputer Research Institute of Montréal
Fundersnot available
KeywordsSolderingCreepAlloyRecrystallization (geology)Reliability (semiconductor)Thermal fatigueElectronicsWetting

Abstract

fetched live from OpenAlex

ABSTRACT For harsh environments applications such as high power LED and automotive applications solder alloy and electronics assemblies are required to endure high temperature, thermal stresses, vibration and other harsh conditions. Sn/Ag/Cu (SAC) alloys with poor and unstable mechanical performance are not adequately reliable. In this work a new high reliability SAC base alloy with added alloying and micro-alloying elements, REL22™, is presented. By comparing thermal, mechanical, wetting properties of REL22™ against reference SAC, it is explained why REL22™ with higher strength and stable creep properties poses superior thermal fatigue resistance. The enhanced reliability and mechanical stability of the new alloy is attributed to a reduction in the stored energy and thus the driving force for recrystallization due to the higher strength of REL22™.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.002

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 head0.031
GPT teacher head0.233
Teacher spread0.203 · 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