@article{3b74debd32414db5877c1def67404836,
title = "Monte Carlo modeling of spin-polarized photoemission from p -doped bulk GaAs",
abstract = "The anticorrelation between quantum efficiency (QE) and electron spin polarization (ESP) from a p -doped GaAs activated to negative electron affinity is studied in detail using an ensemble Monte Carlo approach. The photoabsorption, momentum and spin relaxation during transport, and tunneling of electrons through the surface potential barrier are modeled to identify fundamental mechanisms, which limit the efficiency of GaAs spin-polarized electron sources. In particular, we study the response of QE and ESP to various parameters, such as the photoexcitation energy, doping density, and electron affinity level. Our modeling results for various transport and emission characteristics are in good agreement with available experimental data. Our findings show that the behavior of both QE and ESP at room temperature can be fully explained by the bulk relaxation mechanisms and the time that electrons spend in the material before being emitted.",
author = "Oksana Chubenko and Siddharth Karkare and Dimitrov, {Dimitre A.} and Bae, {Jai Kwan} and Luca Cultrera and Ivan Bazarov and Andrei Afanasev",
note = "Funding Information: This work was supported by The George Washington University in the form of a graduate student fellowship for O.C. Some authors (O.C., S.K., J.K.B., and I.B.) were also supported by the U.S. National Science Foundation under Award PHY-1549132, the Center for Bright Beams. The authors are grateful to Dr. Ievgen Lavrukhin for his help with code optimization. We also acknowledge Research Computing at Arizona State University for providing HPC resources. Funding Information: This work was supported by The George Washington University in the form of a graduate student fellowship for O.C. Some authors (O.C., S.K., J.K.B., and I.B.) were also supported by the U.S. National Science Foundation under Award PHY-1549132, the Center for Bright Beams. The authors are grateful to Dr. Ievgen Lavrukhin for his help with code optimization. We also acknowledge Research Computing at Arizona State University for providing HPC resources. Publisher Copyright: {\textcopyright} 2021 Author(s).",
year = "2021",
month = aug,
day = "14",
doi = "10.1063/5.0060151",
language = "English (US)",
volume = "130",
journal = "Journal of Applied Physics",
issn = "0021-8979",
publisher = "American Institute of Physics Publising LLC",
number = "6",
}