Developing a hybrid single band carrier transport model for (Al,Ga)N heterostructures

IF 2.5 4区 工程技术 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Michael O’Donovan, Robert Finn, Patricio Farrell, Timo Streckenbach, Julien Moatti, Stefan Schulz, Thomas Koprucki
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Abstract

Aluminium gallium nitride (Al,Ga)N alloys and heterostructures are used in the development of UV light emitting devices, and can emit at energies extending into the UV-C spectral range. In the UV-C wavelength window and thus at high AlN content, devices exhibit poor quantum efficiencies. In order to aid the development of these devices, simulation techniques which capture the essential physics of these materials and heterostructures should be used. Due to a change in band ordering in a quantum well at compositions close to Al\(_{0.75}\)Ga\(_{0.25}\)N, special attention should be given to the treatment of valence band states in device simulation. In this work we develop a hybrid single band effective mass model which is informed by degree of optical polarization data obtained from atomistic multi-band calculations. Overall, the hybrid single band effective mass model is benchmarked against tight-binding electronic structure calculations. To do so a confining energy landscape is extracted from the tight-binding model and used as input for the single band effective mass calculations. Moreover, the extracted tight-binding energy landscape is transferred to a drift-diffusion model, allowing therefore for a multi-scale study of transport properties of a single (Al,Ga)N quantum well embedded in a p-i-n junction. Our results show that wider wells lead to a lower turn-on voltage due to a reduction of the band gap, but the internal quantum efficiency of these wells is lower than in narrower wells. Alloy disorder leads to carrier localization and an uneven distribution of recombination within the quantum well plane, which gives rise to percolation currents. A comparison of results with ‘pure’ band simulations shows that when TE emission dominated, the heavy hole mass is a good approximation. In contrast, where band mixing was strong between heavy hole and split-off bands the mass from the split off band was very effective.

建立(Al,Ga)N异质结构的杂化单带载流子输运模型
氮化铝镓(Al,Ga)N合金和异质结构用于紫外发光器件的开发,并且可以在紫外- c光谱范围内发射能量。在UV-C波长窗口中,因此在高AlN含量下,器件表现出较差的量子效率。为了帮助这些器件的发展,应该使用能够捕捉这些材料和异质结构的基本物理特性的模拟技术。由于在Al \(_{0.75}\) Ga \(_{0.25}\) N附近组成的量子阱中带序的变化,在器件模拟中应特别注意价带态的处理。在这项工作中,我们建立了一个混合的单波段有效质量模型,该模型由原子多波段计算得到的光偏振度数据提供信息。总的来说,混合单波段有效质量模型是紧束缚电子结构计算的基准。为了做到这一点,从紧密结合模型中提取了一个约束能量景观,并将其用作单波段有效质量计算的输入。此外,提取的紧密结合能景观被转移到漂移-扩散模型,因此允许对嵌入在p-i-n结中的单个(Al,Ga)N量子阱的输运性质进行多尺度研究。我们的研究结果表明,由于带隙减小,较宽的阱导致较低的导通电压,但这些阱的内部量子效率低于较窄的阱。合金无序导致载流子局域化和量子阱平面内复合分布不均匀,从而产生渗透电流。与“纯”波段模拟结果的比较表明,当TE辐射占主导时,重空穴质量是一个很好的近似。相比之下,当重空穴和分离带之间的能带混合较强时,分离带的质量非常有效。
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来源期刊
Journal of Computational Electronics
Journal of Computational Electronics ENGINEERING, ELECTRICAL & ELECTRONIC-PHYSICS, APPLIED
CiteScore
4.50
自引率
4.80%
发文量
142
审稿时长
>12 weeks
期刊介绍: he Journal of Computational Electronics brings together research on all aspects of modeling and simulation of modern electronics. This includes optical, electronic, mechanical, and quantum mechanical aspects, as well as research on the underlying mathematical algorithms and computational details. The related areas of energy conversion/storage and of molecular and biological systems, in which the thrust is on the charge transport, electronic, mechanical, and optical properties, are also covered. In particular, we encourage manuscripts dealing with device simulation; with optical and optoelectronic systems and photonics; with energy storage (e.g. batteries, fuel cells) and harvesting (e.g. photovoltaic), with simulation of circuits, VLSI layout, logic and architecture (based on, for example, CMOS devices, quantum-cellular automata, QBITs, or single-electron transistors); with electromagnetic simulations (such as microwave electronics and components); or with molecular and biological systems. However, in all these cases, the submitted manuscripts should explicitly address the electronic properties of the relevant systems, materials, or devices and/or present novel contributions to the physical models, computational strategies, or numerical algorithms.
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