Computational discovery of extreme-band-gap semiconductors.

ORAL  · Invited

Abstract

The realization of ultra-wide-band-gap semiconductors has challenged the conventional distinction between semiconductors and insulators based solely on the magnitude of their band gap, and has raised fundamental questions about the limits of semiconducting behavior at extreme band gaps. We develop a computational discovery strategy based on first-principles electronic-structure and defect calculations to identify materials that combine ultra-wide band gaps with shallow dopants and mobile carriers. We first discuss our discovery of semiconducting rutile GeO2 and its alloys with SnO2, which have since attracted experimental interest for applications in power electronics and UV transparent conductors. Despite their ultra-wide gaps (3.6–4.7 eV), these materials exhibit shallow dopants, high mobilities, and high thermal conductivities. The n-type dopability has since been verified experimentally. Surprisingly, we find that alloy disorder in Sn-rich (Ge,Sn)O2 has little impact on the electron mobility. We attribute this property to the insensitivity of the conduction-band edge with respect to Ge content in this composition range, which suppresses spatial fluctuations of the electron energies. We then apply this strategy to identify new semiconductors with band gaps exceeding that of AlN (6.2 eV) while retaining essential semiconducting properties such as shallow dopants and mobile charge carriers. We find that compounds composed of light elements in dense crystal structures can sustain shallow dopants, weak polaron binding, and mobile carriers even for gaps as wide as 9.5 eV. Our findings demonstrate that semiconducting behavior persists even at extreme band gaps, far beyond conventional upper bounds traditionally associated with semiconductor materials.

*The calculations for GeSnO2 alloys were supported by the National Science Foundation under Grant No. 2328701 and is supported in part by funds from federal agency and industry partners, as specified in the Future of Semiconductors (FuSe) program. The calculations of extreme-gap semiconductors were supported as part of the CMS Program funded by the U.S. Department of Energy (DOE), Office of Science, Basic Energy Sciences, under Award No. DE-SC0020129. Computational resources were provided by NERSC, which is supported by the Office of Science of the U.S. DOE under Contract No. DE-AC02-05CH11231. We acknowledge the Texas Advanced Computing Center at The University of Texas at Austin for providing access to Frontera and Lonestar6 (http://www.tacc.utexas.edu).

Publication: https://doi.org/10.48550/arXiv.2506.07284

Presenters

  • Emmanouil Kioupakis

    • University of Michigan

Authors

  • Emmanouil Kioupakis

    • University of Michigan