Strain Engineering of GaN for Hole Mobility Optimization: A comprehensive approach
ORAL
Abstract
Gallium nitride (GaN) is a versatile wide-band gap semiconductor vital for applications in power electronics, radio-frequency devices, and rapid switching transistors. However, its p-channel devices face a challenge due to low hole mobility, obstructing its integration into next-generation technologies. Various strain states have been explored individually to enhance hole mobility, but a comprehensive assessment of their collective impact is lacking. In this study, we establish a linear tensor equation that correlates hole mobility and applied strain in GaN. Our approach leverages ab initio Boltzmann transport equations, accounting for electron-phonon scattering and quasiparticle energy corrections to derive hole mobilities. We use this knowledge to identify a set of optimal strain conditions, maximizing GaN hole mobility. Moreover, our methodology offers a general framework for first-principles-based material property engineering through strain manipulation.
* This research is supported by SUPREME, one of seven centers in JUMP 2.0, a Semiconductor Research Corporation (SRC) program sponsored by DARPA. The authors acknowledge the Texas Advanced Computing Center (TACC) at The University of Texas at Austin for providing access to Frontera and Lonestar6.
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Presenters
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Jie-Cheng Chen
University of Texas at Austin
Authors
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Jie-Cheng Chen
University of Texas at Austin
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Joshua A Leveillee
University of Texas at Austin
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Chris G Van de Walle
University of California, Santa Barbara
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Feliciano Giustino
University of Texas at Austin, University of Texas