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Record W4416880171 · doi:10.37665/smtwccs51989

Development of Laser Trimming of Embedded Resistors for Printed Circuit Board Manufacturing

2002· article· W4416880171 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

VenueSMTA International · 2002
Typearticle
Language
FieldEngineering
TopicElectrical and Thermal Properties of Materials
Canadian institutionsOTI Lumionics (Canada)
Fundersnot available
KeywordsResistorPrinted circuit boardTrimmingElectronic componentReliability (semiconductor)Circuit reliabilityElectronic circuitIntegrated circuit

Abstract

fetched live from OpenAlex

ABSTRACT In the printed circuit board industry, the growing demand for a higher number of circuit components to be contained in smaller circuit areas requires that some of the passive components (resistors, capacitors, etc) are now embedded within the board. This allows for tighter component placement with lower via counts and has also increased the reliability of these devices. For thick film resistors, the resistor paste for embedded resistors is usually screen-printed on the surface of the PWB laminate (either copper or dielectric) that is patterned according to the circuit design. Current technologies require wet paste that is oven cured after placement. This paste process results in a resistor with a tolerance of 10-50% from the target value. Thin film resistors deposited on the PWB also show variation in their values. Resistor trimming is required to bring this tolerance down to about 1-5% as required by the PWB design. This paper discusses the implementation of passive resistor trimming for large panel manufacturing.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.162
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0030.000

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 head0.038
GPT teacher head0.224
Teacher spread0.186 · 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