Project description
Nanoelectronics
The radio-frequency devices have been so far built exclusively on bulk materials (GaAs, InP, SiC ). However, new applications are requesting higher performances (operating voltage, maximum power or operating temperature) from those devices and substrates materials appear to become one of the major limiting factors.
GaN is foreseen as the material of choice for High Power Radio Frequency High Electron Mobility Transistor (HEMT). But single crystal GaN epitaxial layers can only be grown on SiC or GaN substrates (both being expensive and limited in size and quantity). More recently Sapphire and bulk Silicon have been used as substrates for GaN HEMT, but suffered from low thermal conductivity. The objective of this project is to prove the adequacy of a new type of composite substrate, able to provide a cost efficient solution that will leverage the use of advanced high power devices in wireless communication systems.
The proposed innovative approach is based on thin single crystal "seed layer" transferred on top of a thick semi-insulating polycrystalline material tailored for thermal dissipation . This project aims to investigate and optimize two different substrates capable of supporting GaN HEMT devices :
SiC on polycrystalline SiC : the high quality single crystal SiC acts as the seed layer, on top of an inexpensive high thermal conductivity layer, the polycrystalline SiC. This substrate will significantly improve the cost of GaN HEMT structure grown on it. Si on polycrystalline SiC : The silicon as seed layer will provide large diameter substrate for manufacturing of GaN HEMT (4 or 6 inches) and the polycrystalline SiC will significantly improve the thermal conductivity as opposed to bulk silicon. This can be dedicated to large volume applications.
The Hyphen projects will develop and characterize the complete technology chain, from susbtrate to discrete devices.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradio frequency
- natural scienceschemical sciencesinorganic chemistrymetalloids
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Topic(s)
Call for proposal
FP6-2004-IST-4
See other projects for this call
Funding Scheme
STREP - Specific Targeted Research ProjectCoordinator
91971 Courtaboeuf 7
France