2022
DOI: 10.1063/5.0126651
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Understanding effect of distortions and vacancies in wurtzite AlScN ferroelectric memory materials: Vacancy-induced multiple defect state types and relaxation dependence in transition energy levels

Abstract: Energy-efficient compact alternatives to fully digital computing strategies could be achieved by implementations of artificial neural networks (ANNs) that borrow analog techniques. In-memory computing based on crossbar device architectures with memristive materials systems that execute, in an analog way, multiply-and-accumulate operations prevalent in ANN is a notable example. Ferroelectric (FE) materials are promising candidates for achieving ANN thanks to their excellent down-scalability, improved electrical… Show more

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Cited by 5 publications
(4 citation statements)
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“…It is noted that a similar PDE phenomenon was observed in Sc 0.15 Al 0.85 N films (Figure 7a,b), where the change in Δε values of the film after irradiation with different wavelengths of light became significantly larger compared to those of AlN, while the amount of change in tan δ became smaller instead. We propose that Sc doping enables nitrogen vacancies to introduce defect states above the valence band maximum (VBM) 49 and results in a decrease in optical bandgaps. 44 Therefore, photogenerated charges would be trapped by the deep-gap states and then show electron polarization at the trap level.…”
Section: Resultsmentioning
confidence: 99%
“…It is noted that a similar PDE phenomenon was observed in Sc 0.15 Al 0.85 N films (Figure 7a,b), where the change in Δε values of the film after irradiation with different wavelengths of light became significantly larger compared to those of AlN, while the amount of change in tan δ became smaller instead. We propose that Sc doping enables nitrogen vacancies to introduce defect states above the valence band maximum (VBM) 49 and results in a decrease in optical bandgaps. 44 Therefore, photogenerated charges would be trapped by the deep-gap states and then show electron polarization at the trap level.…”
Section: Resultsmentioning
confidence: 99%
“…The lattice constant a and c/a ratio of Al 11 Sc 5 N 16 are calculated to be 3.277 Å and 1.553, which are in agreement with the previously reported values. 35,36 Under ab-biaxial strain, all supercells are relaxed with the ion positions and cell shape. Figure S1 in the Supporting Information shows that the lattice parameters a, c, and c/a change with strain.…”
Section: Computational Detailsmentioning
confidence: 99%
“…In first-principles calculations, SQS is a common method for generating doped structures, as it is used to investigate the properties of doped and disordered structures with representativeness. , In this work, all calculations are performed using the same parameter setup. The lattice constant a and c / a ratio of Al 11 Sc 5 N 16 are calculated to be 3.277 Å and 1.553, which are in agreement with the previously reported values. , Under ab -biaxial strain, all supercells are relaxed with the ion positions and cell shape. Figure S1 in the Supporting Information shows that the lattice parameters a , c , and c / a change with strain.…”
Section: Computational Detailsmentioning
confidence: 99%
“…Finally, it could be mentioned that in order to understand the properties of ferroelectric materials and make a comparative analysis with other theoretical works, it could be of interest to study the intricate interplay of distortions and vacancies in these materials [ 35 ] or to investigate their pyroelectric properties with potential applications in energy harvesting and microelectronic devices [ 36 ].…”
Section: Introductionmentioning
confidence: 99%