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Record W3190315048 · doi:10.1109/tcsi.2021.3102103

Extracting RLC Parasitics From a Flexible Electronic Hybrid Assembly Using On-Chip ESD Protection Circuits

2021· article· en· W3190315048 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueIEEE Transactions on Circuits and Systems I Regular Papers · 2021
Typearticle
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsMcGill University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsParasitic extractionRLC circuitElectronic engineeringElectronic circuitChipElectrical engineeringMaterials scienceEngineeringCapacitorVoltage

Abstract

fetched live from OpenAlex

The presence of RLC line parasitics in a flexible hybrid electronic assembly can lead to signal integrity issues, and their progression over time can lead to catastrophic failures. A technique for extracting the RLC line parasitics from a flexible hybrid electronics assembly is presented. The proposed extraction method exploits the on-chip ESD protection circuits of an IC chip to extract the parasitics of the printed conductors bonded to the chip. This is performed through a single test access port, i.e., two test points. While the parasitics LC are extractable through one-port reflection-based techniques such as time domain reflectometry; the parasitic R requires a two-port measurement such as Kelvin test, which is extremely difficult to perform for printed conductors bonded to small surface-mount IC package devices. The accuracy of the extracted RLC parameters with the proposed method are verified with a prototype developed on a rigid FR4 substrate. Subsequently, the proposed technique is utilized to track the variation of the RLC parasitics for prototypes developed on Kapton Polyimide substrate subjected to different forms of bending.

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 categoriesMeta-epidemiology (narrow)
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 score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.234
Teacher spread0.210 · 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