D
Dominique Drouin
Researcher at Université de Sherbrooke
Publications - 213
Citations - 4353
Dominique Drouin is an academic researcher from Université de Sherbrooke. The author has contributed to research in topics: Silicon & Cathodoluminescence. The author has an hindex of 22, co-authored 204 publications receiving 3798 citations. Previous affiliations of Dominique Drouin include Institut national des sciences Appliquées de Lyon & STMicroelectronics.
Papers
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Journal ArticleDOI
Metal Catalyzed Porous n-type GaN Layers: Low Resistivity Ohmic Contacting and Single-Step MgO/GaN Diode Formation
Oleksandr V. Bilousov,Joan J. Carvajal,Dominique Drouin,A. Vilalta,P. Ruterana,Maria Cinta Pujol,Xavier Mateos,Francesc Díaz,Magdalena Aguiló,Colm O'Dwyer +9 more
TL;DR: In this paper, a porous GaN rectifying diode can be formed by oxidatively crystallizing Mg typically employed for p-doping GaN, as a layer formed under porous structure resulting in a high-k polycrystalline MgO dielectric.
Mesoporous germanium by high frequency bipolar electrochemical etching for optical sensor applications
Youcef A. Bioud,Abderraouf Boucherif,Ali Belarouci,Etienne Paradis,Dominique Drouin,Richard Arès +5 more
TL;DR: In this paper, the potential of porous semiconductor layers for optical sensing has been assessed by examining the resonance wavelength shift in the reflectance spectra before and after infiltration of ethanol.
Book ChapterDOI
Mitigating State-Drift in Memristor Crossbar Arrays for Vector Matrix Multiplication
Amirali Amirsoleimani,Tony Liu,Fabien Alibart,Serge Eccofey,Yao-Feng Chang,Dominique Drouin,Roman Genov +6 more
TL;DR: This chapter suggests that a simple low overhead inference technique can revive the functionality, enhance the performance of memristor-based VMM arrays and significantly increases their lifetime which can be a very important factor toward making this technology as a main stream player in future in-memory computing platforms.
Miniaturizing neural networks for charge state autotuning in quantum dots
Stefanie Czischek,Victor Yon,Marc-Antoine Genest,Marc-Antoine Roux,Sophie Rochette,Julien Camirand Lemyre,Mathieu Moras,Michel Pioro-Ladrière,Dominique Drouin,Yann Beilliard,Roger G. Melko +10 more
TL;DR: In this article, the authors develop extremely small feed-forward neural networks that can be used to detect charge-state transitions in quantum dot stability diagrams and demonstrate that these neural networks can be trained on synthetic data produced by computer simulations, and robustly transferred to the task of tuning an experimental device into a desired charge state.
Proceedings ArticleDOI
Ba 1−x Sr x TiO 3 (x =0.4) nanoparticles dispersion for 3D integration of decoupling capacitors on glass interposer
E. Tetsi,G. Philippot,I. Bord Majek,Cyril Aymonier,Jean Audet,Laurent Bechou,Dominique Drouin +6 more
TL;DR: In this article, different approaches are proposed to disperse the nanoparticles, since their spontaneous agglomeration is critical, and the effects of the solution concentration and the ultrasonic homogenizer power on the dispersion of nanoparticles are examined.