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Ga2O3 and GaN Semiconductor Hollow Spheres
Abstract
Carbon spheres are used as templates to prepare semiconductor hollow spheres of Ga2O3 (depicted) and GaN. The thickness and uniformity of the final products are predetermined by the thickness of the active layer of the carbon spheres. The diameter of the spheres can be adjusted in the range of 100 nm to 1.5 μm, which covers the band gaps in the spectral regime from UV to near infrared.
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Citations
Cited by
The production of carbon materials by hydrothermal carbonization of cellulose
Sevilla, M., & Fuertes, A. B. (2009) · Carbon · doi:10.1016/j.carbon.2009.04.026 · Cited by 2,021
Engineering carbon materials from the hydrothermal carbonization process of biomass
Hu, B., Wang, K., Wu, L., Yu, S., Antonietti, M., & Titirici, M. (2010) · Advanced Materials · doi:10.1002/adma.200902812 · Cited by 1,765
Cao, A., Hu, J., Liang, H., & Wan, L. (2005) · Angewandte Chemie International Edition · doi:10.1002/anie.200500946 · Cited by 890
Nanoparticulate Functional Materials
Goesmann, H., & Feldmann, C. (2010) · Angewandte Chemie International Edition · doi:10.1002/anie.200903053 · Cited by 733
Self‐Assembled Photonic Structures
Galisteo‐López, J. F., Ibisate, M., Sapienza, R., Froufe‐Pérez, L. S., Blanco, Á., & López, C. (2011) · Advanced Materials · doi:10.1002/adma.201000356 · Cited by 668
Metadata
- Authors
- Sun, X., & Li, Y.
- Venue
- Angewandte Chemie International Edition
- Publisher
- Wiley
- Published
- 2004-07-12
- Volume
- 43
- Issue
- 29
- Pages
- 3827-3831
- ISSN
- 1433-7851 (ISSN-L)
- 1521-3773
- OpenAlex
- W2078431154
- Cited by
- 531
- References
- 0
- FWCI
- 13.91
- Type
- journal article
- Language
- en
- Open access
- closed
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- Sun, X., & Li, Y. (2004). Ga2O3 and GaN Semiconductor Hollow Spheres. Angewandte Chemie International Edition. https://doi.org/10.1002/anie.200353212
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
