journal article·2021-03-23

Composition-Dependent Properties of Wurtzite-Type Mg1+xSn1–xN2 Epitaxially Grown on GaN(001) Templates

Naoomi Yamada, Kenta Matsuura, Masataka Imura, Hidenobu Murata, Fumio Kawamura

Publisher page

Abstract

The variety of wurtzite-type semiconductors with band gaps of 1.8–2.5 eV is limited, which hinders filling the “green gap”. This remains an unresolved problem in green light-emitting diodes (LEDs). Wurtzite-type MgSnN2 is a ternary nitride with a band gap of ∼2 eV, and studying it as a potential candidate for green emitters in LEDs and an absorber material in tandem photovoltaics has been initiated recently; little is known about its basic properties. We examined the cation-composition dependence of its optoelectronic properties, in which the cation sites are randomly occupied by Mg and Sn. Mg1+xSn1–xN2 epitaxial layers were grown on the (001) planes of GaN by reactive co-sputtering from Mg and Sn targets. These epilayers retained the wurtzite structure in a broad x range of −0.34–0.28. All of the layers were unintentionally doped with oxygen, thereby exhibiting n-type conductivity. The Sn-rich layers had electron densities (ne) of the order of 1020 cm–3, whereas the ne value was suppressed to 7 × 1018 cm–3 in Mg-rich layers. These results suggest that the excess Sn (Mg) serves as a donor-type (acceptor-type) defect, and the electron transport properties can be tailored by varying the cation composition. The optical gap (Egopt) of the Mg1+xSn1–xN2 films exhibited a blue shift due to the Burstein–Moss (B–M) effect for the Sn-rich composition; the intrinsic band gap of MgSnN2 was approximately 2.3 eV. The tunability of the transport properties and the Eg value corresponding to green light makes wurtzite-type MgSnN2 an attractive semiconductor for green emitters and photovoltaic absorbers.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Metal and Thin Film Mechanics · Machine Learning in Materials Science · Semiconductor materials and devices

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Applied Chemistry, Chubu University, 1200 Matsumoto, Kasugai, Aichi 487-8501, Japan

Next-Generation Semiconductor Group, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan

Department of Materials Science, Osaka Prefecture University, 1-1 Gakuencho, Naka-ku, Sakai, Osaka 599-8531, Japan

High Pressure Group, National Institute for Materials Science, 1-1 Namiki, Tsukuba, Ibaraki 305-0044, Japan

Funding

Ministry of Education, Culture, Sports, Science and Technology · Naito Science and Engineering Foundation · Chubu University

References (58)

Show source-provided references
2. Riedel R. · 200010.1002/9783527618217 ↗
3. 10.1039/a807732k10.1039/a807732k ↗
4. 10.1038/s41563-019-0396-210.1038/s41563-019-0396-2 ↗
5. Lambrecht W. R. L. · 2013 · 51910.1093/acprof:oso/9780199681723.003.0015 ↗
6. 10.1103/PhysRevB.78.11520410.1103/PhysRevB.78.115204 ↗
7. 10.1103/PhysRevB.84.16520410.1103/PhysRevB.84.165204 ↗
8. 10.1016/j.jcrysgro.2007.12.04210.1016/j.jcrysgro.2007.12.042 ↗
9. 10.1002/adma.20120471810.1002/adma.201204718 ↗
10. 10.1063/1.481643810.1063/1.4816438 ↗
11. 10.1002/adma.20130272710.1002/adma.201302727 ↗
12. 10.1039/C5TC02663F10.1039/C5TC02663F ↗
13. 10.1002/aenm.20150146210.1002/aenm.201501462 ↗
14. 10.1002/crat.20150025810.1002/crat.201500258 ↗
15. 10.1002/aelm.20160054410.1002/aelm.201600544 ↗
16. 10.1038/s41598-017-14850-710.1038/s41598-017-14850-7 ↗
17. 10.1039/C7TA00406K10.1039/C7TA00406K ↗
18. 10.1103/PhysRevMaterials.1.03540110.1103/PhysRevMaterials.1.035401 ↗
19. 10.1039/C8MH00415C10.1039/C8MH00415C ↗
20. 10.1063/1.508740810.1063/1.5087408 ↗
21. 10.7567/1347-4065/ab0ace10.7567/1347-4065/ab0ace ↗
22. 10.1186/s42833-020-0010-610.1186/s42833-020-0010-6 ↗
23. 10.1088/2515-7655/ab8b6910.1088/2515-7655/ab8b69 ↗
24. 10.1103/PhysRevB.94.20520110.1103/PhysRevB.94.205201 ↗
25. 10.1063/1.149062110.1063/1.1490621 ↗
26. 10.1002/adma.20130447310.1002/adma.201304473 ↗
27. 10.1103/PhysRevB.94.12520110.1103/PhysRevB.94.125201 ↗
28. 10.1016/j.ssc.2019.11366410.1016/j.ssc.2019.113664 ↗
29. 10.1103/PhysRevLett.122.25640310.1103/PhysRevLett.122.256403 ↗
30. 10.1002/ejic.20190105910.1002/ejic.201901059 ↗
31. 10.1021/jacs.0c0209210.1021/jacs.0c02092 ↗
32. 10.1073/pnas.190492611610.1073/pnas.1904926116 ↗
33. 10.7567/1347-4065/ab0f0f10.7567/1347-4065/ab0f0f ↗
34. 10.1021/acs.chemmater.9b0238010.1021/acs.chemmater.9b02380 ↗
35. 10.1039/D0TA00654H10.1039/D0TA00654H ↗
36. 10.1016/j.apsusc.2017.05.02010.1016/j.apsusc.2017.05.020 ↗
37. 10.1039/C4TC02210F10.1039/C4TC02210F ↗
38. 10.1149/2.0861803jes10.1149/2.0861803jes ↗
39. 10.1039/C6RA27263K10.1039/C6RA27263K ↗
40. 10.1063/1.213744610.1063/1.2137446 ↗
41. 10.1063/1.317320210.1063/1.3173202 ↗
42. 10.1002/pssa.20098312210.1002/pssa.200983122 ↗
43. 10.1063/1.493959810.1063/1.4939598 ↗
44. 10.1107/S002188981103897010.1107/S0021889811038970 ↗
45. 10.1103/PhysRevB.91.20520710.1103/PhysRevB.91.205207 ↗
46. 10.1021/acsenergylett.0c0057610.1021/acsenergylett.0c00576 ↗
47. 10.1016/j.matlet.2018.11.02410.1016/j.matlet.2018.11.024 ↗
48. 10.1126/science.137.3534.99310.1126/science.137.3534.993 ↗
49. 10.1126/science.142.3593.67210.1126/science.142.3593.672 ↗
50. 10.1063/1.35343510.1063/1.353435 ↗
51. 10.1103/PhysRevB.47.1292510.1103/PhysRevB.47.12925 ↗
52. 10.1103/PhysRevB.73.11521110.1103/PhysRevB.73.115211 ↗
53. 10.1002/pssr.20110518910.1002/pssr.201105189 ↗
54. 10.1002/pssc.20100114710.1002/pssc.201001147 ↗
55. 10.1063/1.502098810.1063/1.5020988 ↗
56. 10.1021/jp027593f10.1021/jp027593f ↗
57. 10.1021/acs.jpcc.7b0127910.1021/acs.jpcc.7b01279 ↗
58. 10.1039/C5CC01728A10.1039/C5CC01728A ↗