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Research data supporting "Microstructure and reflectivity of porous GaN distributed Bragg reflectors on silicon substrates"


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Distributed Bragg reflectors (DBRs) based on alternating layers of porous and non-porous GaN have been fabricated at the wafer-scale in heteroepitaxial GaN layers grown on silicon substrates. On the Si substrates a 250 nm-thick AlN nucleation layer, a 1700 nm graded AlGaN buffer (from 75 at% Al to 25 at% Al), and a 725 nm non-intentionally doped (NID) GaN buffer layer were grown by MOVPE. Onto this buffer, a 200 nm Si-doped (at 5 × 1018 cm-3) GaN layer was grown to provide a conductive pathway beneath the DBR. Next, a 200 nm NID GaN layer was added, followed by five periods of a latent DBR structure, each consisting of 58 nm highly Si-doped (at 1 × 1019 cm-3) GaN and 41 nm NID GaN. The 150 mm wafer was divided into (1.5 × 2.5) cm2 chips for porosification without lithographic processing. The porosification is achieved via electrochemical etching of highly Si-doped layers with 0.25 M solution of oxalic acid at etching voltages between 3V and 12V. Reflectance spectra were measured using a photoluminescence mapper with a broadband white light source. The measurements were normalised with respect to a pre-calibrated commercially available metallic mirror. Modelling of reflectance spectra was carried out using a transfer matrix model implemented in Microsoft Excel.

The following datasets have been deposited in this repository: Figure 3: (a) White light reflectance spectra for samples etched at voltages between 3 V and 12 V. Figure 3: (b) Peak reflectance values plotted against etching bias. Figure 6: Variation in porosity of the layer nearest to the surface with etching bias. Figure 7: (a) Predicted reflectance spectra for samples etched at between 3 V and 12 V, based on the porosity data in Figure 6.
Figure 7: (b) Predicted peak reflectance values based on the porosity data in Figure 6 plotted against etching bias. Figure S2: Simulated reflectance spectra for five pair GaN/porous-GaN DBRs with the porous layers having identical porosities between 20% and 70%.

Further details of the procedures and the datasets are described in the related publication.

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Except where otherwised noted, this item's license is described as Attribution 4.0 International (CC BY 4.0)
Sponsorship
Engineering and Physical Sciences Research Council (EP/R03480X/1)
EPSRC (EP/W03557X/1)
Engineering and Physical Sciences Research Council (2278538)
This research was supported by the EPSRC under Grant Nos. EP/R03480X/1, EP/W03557X/1, EP/X015300/1, EP/N509620/1, and EP/R513180/1. Rachel Oliver would like to acknowledge funding from the Royal Academy of Engineering under the Chairs in Emerging Technologies Scheme, which is sponsored by the Department for Science, Innovation and Technology (DSIT). We thank Clifford McAleese for his work on the transfer matrix model.