基于仿真优化 InAlN/GaN HEMT 中的阻挡层和间隔层以提高 2DEG 密度

IF 2.7 Q2 PHYSICS, CONDENSED MATTER Micro and Nanostructures Pub Date : 2024-08-08 DOI:10.1016/j.micrna.2024.207950
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引用次数: 0

摘要

在这项研究中,我们利用 Nextnano 器件仿真软件系统地研究了 2-DEG(二维电子气体)密度对 InAlN/GaN 高电子迁移率晶体管 (HEMT) 中的势垒层和间隔层的依赖性。通过模拟一系列的势垒厚度、铟摩尔分数和间隔层厚度,我们揭示了这些参数影响器件性能的复杂方式。我们的模拟结果表明,精确控制 InAlN 势垒厚度和 In 摩尔分数以及 AlN 间隔层厚度,对于优化 2DEG 密度以及 HEMT 的整体电气性能至关重要。值得注意的是,我们的研究结果表明,低于 12 nm 的 InAlN 势垒厚度,加上优化的 In 摩尔分数和接近 1 nm 的 AlN 间隔层厚度,可以在不影响迁移率的情况下显著提高 2DEG 密度。这些见解为设计和开发高性能 InAlN/GaN HEMT 提供了对材料和结构相关性的详细了解。我们的研究包括器件 I-V 特性的详细计算。值得注意的是,在 1 nm AlN 间隔层厚度时,输出电流峰值最高,达到 0.91 A/mm。我们的研究结果凸显了计算模拟和实验测量结果之间值得注意的一致性。
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Simulation-based optimization of barrier and spacer layers in InAlN/GaN HEMTs for improved 2DEG density

In this study, we utilize Nextnano device simulation software to systematically investigate the dependence of 2-DEG (two-dimensional electron gas) density on the barrier and spacer Layers in InAlN/GaN high electron mobility transistors (HEMTs). By simulating a range of barrier thicknesses, In mole fractions, and spacer layer thicknesses, we reveal the intricate ways in which these parameters influence device performance. Our simulations demonstrate that precise control of the InAlN barrier thickness and In mole fraction, along with the AlN spacer thickness, is crucial for optimizing 2DEG density and, consequently, the overall electrical properties of the HEMTs. Notably, our results highlight that an InAlN barrier thickness below 12 nm, coupled with an optimized In mole fraction and a finely tuned AlN spacer thickness close to 1 nm, significantly enhances 2DEG density without compromising mobility. These insights provide a detailed understanding of the material and structural dependencies critical for the design and development of high-performance InAlN/GaN HEMTs. Our study includes detailed calculations of the device's I–V characteristics. Notably, the highest peak output current is observed at a 1 nm AlN spacer thickness, reaching 0.91 A/mm. Our findings highlight a noteworthy agreement between the results derived from our computational simulations and experimental measurements.

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