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Sylvie Bruyere

Researcher at STMicroelectronics

Publications -  57
Citations -  1283

Sylvie Bruyere is an academic researcher from STMicroelectronics. The author has contributed to research in topics: Capacitor & Gate oxide. The author has an hindex of 16, co-authored 57 publications receiving 1239 citations. Previous affiliations of Sylvie Bruyere include École nationale supérieure d'électronique et de radioélectricité de Grenoble.

Papers
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Journal ArticleDOI

Review on high-k dielectrics reliability issues

TL;DR: In this article, the authors review the status of reliability studies of high-k gate dielectrics and try to illustrate it with experimental results, showing that the reliability of Hf-based materials is influenced both by the interfacial layer as well as the high k layer.
Proceedings ArticleDOI

A thorough investigation of progressive breakdown in ultra-thin oxides. Physical understanding and application for industrial reliability assessment

TL;DR: In this paper, a close investigation of the gate oxide failure for thickness below 24/spl Aring was provided, and the wear-out beginning at the failure occurrence was studied.
Proceedings ArticleDOI

Evidence for hydrogen-related defects during NBTl stress in p-MOSFETs

TL;DR: In this article, the degradation mechanisms during negative bias instability stress on ultrathin oxides (t/sub ox/=20 /spl Aring/) were studied and the generation of interface traps and oxide defects was shown to impact parameters such as the threshold voltage.
Journal ArticleDOI

MIM capacitance variation under electrical stress

TL;DR: Due to strong requirement in term of capacitance voltage linearity, MIM capacitance stability during the whole operating lifetime of the product appears to be a key issue to warrant the reliability of this device.
Proceedings ArticleDOI

Quasi-breakdown in ultra-thin SiO/sub 2/ films: occurrence characterization and reliability assessment methodology

TL;DR: In this paper, the authors discuss different statistical approaches for the quasi-breakdown phenomenon and present a reliability assessment methodology enabling a proper analysis of both phenomena for reliability evaluation and lifetime prediction.