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Record W2976208640 · doi:10.1109/tpel.2019.2944073

Design and Optimization of High-Failure-Current Dual-Direction SCR for Industrial-Level ESD Protection

2019· article· en· W2976208640 on OpenAlexaff
Yang Wang, Xiangliang Jin, Yan Peng, Jun Luo, Jun Yang

Bibliographic record

VenueIEEE Transactions on Power Electronics · 2019
Typearticle
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsWestern University
FundersNational Natural Science Foundation of China
KeywordsElectrostatic dischargeElectrical engineeringCMOSVoltageRectifier (neural networks)EngineeringReliability (semiconductor)Electronic engineeringTransmission lineComputer sciencePower (physics)

Abstract

fetched live from OpenAlex

In an industrial-grade bus, transient voltage suppressor (TVS) devices that need to withstand inrush currents ensure electrostatic discharge (ESD) reliability of the core chip. This article designs four types of dual-direction silicon-controlled rectifier (DDSCR) device structures based on the 0.5-μm CMOS process. The ESD performance of the TVS device is predicted and verified based on the basic principles of the device, two-dimensional device simulation, and transmission line pulse test results. Four DDSCR structures are embedded with floating N+ to adjust the device's holding voltage window. The results show that the current release capacity of DDSCR_1 is 81.93 mA/μm. The current release capability of DDSCR_2, which has a double-dummy-gate structure, is 82.37 mA/μm. The current release capability of DDSCR_3 of the gate-controlled structure is 86.68 mA/μm. The current release capability of DDSCR_4 of the double-dummy-gate structure and the gate-controlled structure is 86.25 mA/μm. Furthermore, the effect of the size of these devices on the ESD characteristics was studied. The on-resistance of the device structure is calculated by the curve-fitting method. The influence of the dummy gate structure and the gate-controlled structure on the ESD characteristics is analyzed. Finally, the optimal device size to meet the window is found.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.022
GPT teacher head0.227
Teacher spread0.205 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2019
Admission routes1
Has abstractyes

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Same venueIEEE Transactions on Power ElectronicsSame topicElectrostatic Discharge in ElectronicsFrench-language works237,207