Drift velocity in GaN semiconductors: Monte Carlo simulation and comparison with experimental measurements

Kablukova Evgenia (), Sabelfeld Karl (), Protasov Dmitrii Y. () and Zhuravlev Konstantin S. ()
Additional contact information
Kablukova Evgenia: Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of Russian Academy of Science, Lavrentiev Prosp. 6, Novosibirsk, 630090, Russia
Sabelfeld Karl: Institute of Computational Mathematics and Mathematical Geophysics, Siberian Branch of Russian Academy of Science, Lavrentiev Prosp. 6; and Novosibirsk State University, Pirogov str. 2, Novosibirsk, 630090, Russia
Protasov Dmitrii Y.: Rzhanov Institute of Semiconductor Physics, Siberian Branch of Russian Academy of Sciences, Lavrentiev Prosp. 13, 630090; and Novosibirsk State Technical University, 20, K. Marx av., Novosibirsk, 630073, Russia
Zhuravlev Konstantin S.: Rzhanov Institute of Semiconductor Physics, Siberian Branch of Russian Academy of Sciences, Lavrentiev Prosp. 13; and Novosibirsk State University, Pirogov Str. 2, Novosibirsk, 630090, Russia

Monte Carlo Methods and Applications, 2020, vol. 26, issue 4, 263-271

Abstract: Monte Carlo algorithms are developed to simulate the electron transport in semiconductors. In particular, the drift velocity in GaN semiconductors is calculated, and a comparison with experimental measurements is discussed. Explicit expressions for the scattering probabilities and distributions of the scattering angle of electrons on polar optical and intervalley phonons, and acoustic deformation potential as well are given. A good agreement of the simulation results and the experimental measurements reveals that the M-L valley is located at 0.7 eV higher than the Γ-valley. This value agrees with other experimental studies, while it is lower compared to ab initio calculations.

Keywords: Drift velocity; GaN semiconductors; Boltzmann equation; heterostructures; phonons; satellite valleys (search for similar items in EconPapers)
Date: 2020
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://doi.org/10.1515/mcma-2020-2077 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:bpj:mcmeap:v:26:y:2020:i:4:p:263-271:n:7

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/mcma/html

DOI: 10.1515/mcma-2020-2077

Access Statistics for this article

Monte Carlo Methods and Applications is currently edited by Karl K. Sabelfeld

More articles in Monte Carlo Methods and Applications from De Gruyter
Bibliographic data for series maintained by Peter Golla ().