The 2018 GaN power electronics roadmap

Дорожная карта силовой электроники на основе GaN на 2018 год
Hiroshi Amano, Tomás Palacios, M. Van Hove, Denis Marcon, Stefaan Decoutere, Michael J. Uren, Li Xu, Yuhao Zhang, Matteo Meneghini, Carlo De Santi, Gaudenzio Meneghesso, Enrico Zanoni, Min Sun, Daniel Piedra, Kevin J. Chen, Shu Yang, Takashi Egawa, Rongming Chu, Oliver D. Häberlen, Nadim Chowdhury, Matteo Borga, Martin Kuball, Akira Nakajima, D. J. Wallis, M.M. De Souza, Patrick Fay, Alex Q. Huang, Matthew Charles, Edward Beam, Mengyuan Hua, Jingshan Wang, Iain Thayne, Paul R. Chalker, H. Kawai, Jie Hu, Robert McCarthy, C. Youtsey, Rekha Reddy, Jinqiao Xie, L. J. Guido, Thomas Heckel, Qingyun Huang, Nicola Trivellin, Bernd Eckardt, Yannick Baines, Thierry Bouchet, L. Di Cioccio, Joseph J. Freedsman, Geoff Haynes, Dilini Hemakumara, P.A. Houston, Sheng Jiang, Dan Kinzer, Ashwani Kumar, Kean Boon Lee, Martin März, E. Morvan, E.M. Sankara Narayanan, Stephen Oliver, M. Plissonnier, A. Torres, Vineet Unni, Shuichi Yagi, Ruiyang Yu, Stefan Zeltner
2018-03-26

GaN power electronicsgallium nitridehigh-frequency communicationspower conversionpower transistors
Gallium nitride (GaN) is a compound semiconductor that has tremendous potential to facilitate economic growth in a semiconductor industry that is silicon-based and currently faced with diminishing returns of performance versus cost of investment. At a material level, its high electric field strength and electron mobility have already shown tremendous potential for high frequency communications and photonic applications. Advances in growth on commercially viable large area substrates are now at the point where power conversion applications of GaN are at the cusp of commercialisation. The future for building on the work described here in ways driven by specific challenges emerging from entirely new markets and applications is very exciting. This collection of GaN technology developments is therefore 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. First generation production devices are igniting large new markets and applications that can only be achieved using the advantages of higher speed, low specific resistivity and low saturation switching transistors. Major investments are being made by industrial companies in a wide variety of markets exploring the use of the technology in new circuit topologies, packaging solutions and system architectures that are required to achieve and optimise the system advantages offered by GaN transistors. It is this momentum that will drive priorities for the next stages of device research gathered here.
1
Advances in growth on commercially viable large-area substrates have brought GaN power-conversion technology to the cusp of commercialization.
2
First-generation GaN production devices enable emerging markets requiring higher switching speed, lower specific resistivity, and lower saturation losses than conventional technologies.
3
Future GaN research priorities will increasingly be shaped by market-driven requirements from new applications and system architectures.
4
GaN’s high electric-field strength and electron mobility provide strong potential for high-frequency communications, photonics, and power-conversion applications.
5
Industrial investment is accelerating development of GaN-compatible circuit topologies, packaging, and system architectures to optimize system-level advantages.

GaN power electronics technology, including GaN transistors and their production devices

The technological performance, commercialization readiness, and system-level applications of GaN power devices, including high-speed, low-specific-resistivity, low-saturation-switching operation and integration into circuits, packages, and architectures

Publication Details
Publication Date
2018-03-26
Journal
Publisher
ISSN
Access Type
Author Information
Authors
Hiroshi Amano
Tomás Palacios
M. Van Hove
Denis Marcon
Stefaan Decoutere
Michael J. Uren
Li Xu
Yuhao Zhang
Matteo Meneghini
Carlo De Santi
Gaudenzio Meneghesso
Enrico Zanoni
Min Sun
Daniel Piedra
Kevin J. Chen
Shu Yang
Takashi Egawa
Rongming Chu
Oliver D. Häberlen
Nadim Chowdhury
Matteo Borga
Martin Kuball
Akira Nakajima
D. J. Wallis
M.M. De Souza
Patrick Fay
Alex Q. Huang
Matthew Charles
Edward Beam
Mengyuan Hua
Jingshan Wang
Iain Thayne
Paul R. Chalker
H. Kawai
Jie Hu
Robert McCarthy
C. Youtsey
Rekha Reddy
Jinqiao Xie
L. J. Guido
Thomas Heckel
Qingyun Huang
Nicola Trivellin
Bernd Eckardt
Yannick Baines
Thierry Bouchet
L. Di Cioccio
Joseph J. Freedsman
Geoff Haynes
Dilini Hemakumara
P.A. Houston
Sheng Jiang
Dan Kinzer
Ashwani Kumar
Kean Boon Lee
Martin März
E. Morvan
E.M. Sankara Narayanan
Stephen Oliver
M. Plissonnier
A. Torres
Vineet Unni
Shuichi Yagi
Ruiyang Yu
Stefan Zeltner
Explore further
Open the scid.ai AI chat with a ready-made request: it will find papers on a similar topic and help build a literature review.
Find similar papers in the chat
Make a presentation
100%