Journal
COMMUNICATIONS PHYSICS
Volume 4, Issue 1, Pages -Publisher
NATURE RESEARCH
DOI: 10.1038/s42005-021-00550-2
Keywords
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Categories
Funding
- FCT, Portugal
- FEDER [PTDC/CTM-CTM/28011/2017, LISBOA-01-0145-FEDER-028011, UID/05367/2020]
- FCT Portugal [SFRH/BD/111733/2015]
- LabEx EMC3 [ANR-10-LABX-09-01]
- ANR [ANR-11-EQPX-0020]
- Fonds Europeen de Developpement Regional
- Region Basse-Normandie
- Australian Research Council
- National Collaborative Research Infrastructure Strategy (NCRIS) HIA capability in Australia
- [CIMAP/IPAC2016/LB/P1110-M-S]
- Fundação para a Ciência e a Tecnologia [SFRH/BD/111733/2015] Funding Source: FCT
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This study demonstrates that recrystallization induced by swift heavy ions is the key mechanism behind the observed resistance in GaN. Atomistic simulations predict and reveal the significant reduction in expected damage levels, with excellent agreement between simulation and experiment. The developed modeling scheme is expected to improve the design and test of future radiation-resistant GaN-based devices.
GaN is the most promising upgrade to the traditional Si-based radiation-hard technologies. However, the underlying mechanisms driving its resistance are unclear, especially for strongly ionising radiation. Here, we use swift heavy ions to show that a strong recrystallisation effect induced by the ions is the key mechanism behind the observed resistance. We use atomistic simulations to examine and predict the damage evolution. These show that the recrystallisation lowers the expected damage levels significantly and has strong implications when studying high fluences for which numerous overlaps occur. Moreover, the simulations reveal structures such as point and extended defects, density gradients and voids with excellent agreement between simulation and experiment. We expect that the developed modelling scheme will contribute to improving the design and test of future radiation-resistant GaN-based devices. Gallium nitride is a wide bandgap semiconductor which is generally expected to replace some silicon-based technologies, despite some of its properties still requiring further investigation. Here, using a two-temperature model coupled to molecular dynamics simulations, the authors investigate and predict the effects of strongly ionising radiation in gallium nitride, revealing the mechanism behind its unusual resistance to radiation.
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