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Enregistrement 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 sur OpenAlexfundno aff
Alessio Griffoni

Notice bibliographique

RevueMolecular Therapy — Nucleic Acids · 2010
Typearticle
Langueen
DomaineEngineering
ThématiqueElectrostatic Discharge in Electronics
Établissements canadiensnon disponible
Organismes subventionnairesNatural Science Foundation of Zhejiang ProvinceCanadian Institutes of Health ResearchChina Scholarship Council
Mots-clésSilicon on insulatorNMOS logicElectrostatic dischargeCMOSElectrical engineeringElectronic engineeringMOSFETClampingOptoelectronicsMaterials scienceEngineeringTransistorVoltageSilicon

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,008

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0030,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,002
Tête enseignante GPT0,189
Écart entre enseignants0,187 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2010
Routes d'admission1
Résumé présentoui

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