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Record W31760376 · doi:10.1016/j.omtn.2019.10.015

ESD and Ionizing Radiation Effects on Ultrathin Body SOI and Multiple Gate Technologies

2010· article· en· W31760376 on OpenAlexfundno aff
Alessio Griffoni

Bibliographic record

VenueMolecular Therapy — Nucleic Acids · 2010
Typearticle
Languageen
FieldEngineering
TopicElectrostatic Discharge in Electronics
Canadian institutionsnot available
FundersNatural Science Foundation of Zhejiang ProvinceCanadian Institutes of Health ResearchChina Scholarship Council
KeywordsSilicon on insulatorNMOS logicElectrostatic dischargeCMOSElectrical engineeringElectronic engineeringMOSFETClampingOptoelectronicsMaterials scienceEngineeringTransistorVoltageSilicon

Abstract

fetched live from OpenAlex

This thesis addresses two main reliability challenges of advanced UltraThin Body (UTB) Silicon On Insulator (SOI) and FinFET CMOS technologies: ElectroStatic Discharge (ESD) and (space) ionizing radiations. First, both technologies have a limited available silicon volume to dissipate the ESD current. Therefore, a detailed ESD analysis on such devices is required. Secondly, these advanced technologies will be incorporated in future Commercial-Off-The-Shelf (COTS) components that may be used in space applications, which rennires the impact of ionizing radiation on such technologies. ESD analysis has been performed on structures implemented in planar UTB SOI, SOI FinFET, and bulk FinFET technologies. Complex dependencies of the different ESD performance parameters on both device geometry and process technology are found. For UTB SOI devices, a detailed electrical investigation is carried out in order to carefully classify the observed failure mechanisms. It is found that grounded gate NMOS devices are robust enough when local clamping devices are used, and that strain improves the ESD robustness and has an impact on the device failure mechanisms. Concerning FinFET technology, non-uniform failure exists for grounded gate NMOS devices at high current levels which can be improved by increasing gate length and various ballasting techniques. On the other hand, voltage clamping capability seemed more of a concern due to the oxide breakdown voltage for long gate lengths. Narrow fin devices have improved cooling properties, especially for bulk FinFETs, but suffer from reduced area efficiency. Selective epitaxial growth, strain, and silicide blocking can improve the ESD performance of FinFET devices. From RF point of view, concerning SOI FinFET technology, the large overhead capacitance of the narrow-fin devices degrades the RF figure of merit with respect to the wide fin devices, making wide-fin devices the preferred choice. Regarding bulk FinFET technology, the landing pad of narrow-fin devices is not fully used during the current conduction; however, the full junction contributes to the parasitic capacitance. Therefore, despite the quite remarkable improvement in ESD robustness observed for narrow-fin bulk FinFET devices, narrow and wide-fin bulk FinFET diodes have similar ESD-RF performance, which is comparable to the best SOI FinFET diodes. Heavy-ions induced microdose has been investigated on MOS in planar UTB SOI and SOI FinFET technologies. The degradation of the electrical DC parameters is found to strongly depend on both device geometry and process technology. UTB SOI devices display the lack of early breakdown due to the very thin gate oxide, and varying impact on the long-term degradation kinetics depending on the adopted technological solutions. Concerning SOI FinFETs, the changes of the DC parameters after irradiation strongly depend on the Linear Energy Transfer (LET), incidence angle, strain, and channel type, depending on the balance between damage to the high-k (top and sidewall) gate oxide and to the buried oxide. In addition, heavy-ion strikes impact both on the degradation kinetics and on the time to breakdown under constant voltage stress. The soft rupture of the gate oxide is a considerable concern, not only for the increase in gate leakage, but also for the effects on the DC characteristics. Interface state generation in the side oxide/body interface, due to ions passing through the lateral gates, is another remarkable effect that can be observed only with these vertical devices. Heavy ions can induce permanent damage on FinFETs with large statistical spread. The distribution of the inverse of the gate leakage currents and of the threshold voltage shifts follows a Weibull distribution. Moreover, the reciprocal of the gate leakage current does not respect the Poisson area scaling. A new model for the gate leakage current is proposed, predicting a size of the heavy-ion damage of 30 nm and a higher defect generation takes place in the sidewall gate oxide. Dose enhancement effects due to interconnects in deep-submicron CMOS have been studied. The presence of metal-1 tracks in the proximity of the device active areas significantly modifies the response to X-rays. The impact of the secondary electron emission from metal-1 layers is strongly dependent on the relative position to the transistor lateral isolation and LDD spacers. In conclusion, ESD is not a showstopper for the introduction of UTB SOI and FinFET technologies. However, heavy-ion induced microdose is a serious concern for multiple gate technologies, while it is not a showstopper for the UTB SOI. Finally, dose enhancement in deep-submicron devices must be carefully considered when X-ray facilities are used to perform total-dose tests.

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 score0.003
Threshold uncertainty score0.008

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.002
GPT teacher head0.189
Teacher spread0.187 · 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".

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Citations1
Published2010
Admission routes1
Has abstractyes

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