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Enrico Zanoni

Researcher at University of Padua

Publications -  748
Citations -  16745

Enrico Zanoni is an academic researcher from University of Padua. The author has contributed to research in topics: Gallium nitride & High-electron-mobility transistor. The author has an hindex of 53, co-authored 705 publications receiving 13926 citations. Previous affiliations of Enrico Zanoni include University of Bari & Fraunhofer Society.

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The 2018 GaN power electronics roadmap

Hiroshi Amano, +64 more
- 26 Mar 2018 - 
TL;DR: This collection of GaN technology developments is not itself a road map but a valuable collection of global state-of-the-art GaN research that will inform the next phase of the technology as market driven requirements evolve.
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Flash memory cells-an overview

TL;DR: Basic operations and charge-injection mechanisms that are most commonly used in actual flash memory cells are reviewed to provide an understanding of the underlying physics and principles in order to appreciate the large number of device structures, processing technologies, and circuit designs presented in the literature.
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Reliability of GaN High-Electron-Mobility Transistors: State of the Art and Perspectives

TL;DR: In this article, failure modes and mechanisms of AlGaN/GaN high-electron-mobility transistors are reviewed, and data from three de-accelerated tests are presented, which demonstrate a close correlation between failure mode and bias point.
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Efficiency droop in InGaN/GaN blue light-emitting diodes: Physical mechanisms and remedies

TL;DR: In this article, the authors classified and reviewed the physical mechanisms causing the efficiency droop in InGaN/GaN blue light-emitting diodes and remedies proposed for droop mitigation.
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Deep-Level Characterization in GaN HEMTs-Part I: Advantages and Limitations of Drain Current Transient Measurements

TL;DR: In this paper, the advantages and limitations of the current-transient methods used for the study of the deep levels in GaN-based high-electron mobility transistors (HEMTs), by evaluating how the procedures adopted for measurement and data analysis can influence the results of the investigation.