InAs/GaSb超晶格在不同衬底上的对比分析

0 下载量 196 浏览量 更新于2024-09-01 收藏 751KB PDF 举报
"这篇科研论文对比了在GaAs衬底和GaSb衬底上生长的短期InAs(4分子层)/GaSb(8分子层)型II超晶格结构。通过分子束外延技术在晶格不匹配的GaAs基片上形成光滑的GaSb表层,其中采用了包括界面失配模式的AlSb量子点层和AlSb/GaSb超晶格平滑层的多缓冲层。在GaAs衬底上生长的超晶格(GaAs基超晶格)在X射线衍射(XRD)中显示出清晰的卫星峰。而结构质量更优、表面更平滑的GaSb基超晶格表现出在2.55微米波长的强光致发光。" 这篇论文探讨了在不同衬底上生长InAs/GaSb型II超晶格的差异,这种超晶格是半导体光学和电子应用中的重要材料,因其独特的能带结构(Type II)使得电荷载流子在不同的量子阱层中分离,增强了器件性能。分子束外延(Molecular-beam epitaxy, MBE)是一种精确控制原子层生长的技术,被用于在这种研究中生长超晶格结构。 在实验中,研究者在GaAs衬底上生长超晶格时,通过插入多层缓冲层解决了晶格不匹配问题。这些缓冲层包括一个界面失配模式的AlSb量子点层和一个AlSb/GaSb超晶格平滑层,这有助于减少应力并改善界面质量,从而形成了平滑的GaSb表层。在XRD分析中,GaAs基超晶格显示出明显的卫星峰,这是高质量超晶格结构的标志,表明其内部的周期性结构良好。 相比之下,生长在GaSb衬底上的超晶格(GaSb基超晶格)具有更好的结构质量和更平滑的表面。这些特性对超晶格的光学性能至关重要。实验结果显示,GaSb基超晶格在2.55微米波长处显示出强烈的光致发光,这表明它们在红外光探测器或激光器等应用中可能有优异的光电响应。光致发光是材料吸收光能后释放出光子的现象,其强度和波长与材料的电子结构和缺陷状态密切相关。 因此,这项研究对于优化InAs/GaSb超晶格的生长工艺和提升其光电性能具有重要意义。通过比较不同衬底对超晶格的影响,可以为设计高性能的红外光电器件提供指导,如红外探测器、太阳能电池或者高速电子器件,这些器件在军事、通信和能源领域都有广泛的应用潜力。同时,它也为理解和改进其他类似的异质结构提供了基础研究。

4 Experiments This section examines the effectiveness of the proposed IFCS-MOEA framework. First, Section 4.1 presents the experimental settings. Second, Section 4.2 examines the effect of IFCS on MOEA/D-DE. Then, Section 4.3 compares the performance of IFCS-MOEA/D-DE with five state-of-the-art MOEAs on 19 test problems. Finally, Section 4.4 compares the performance of IFCS-MOEA/D-DE with five state-of-the-art MOEAs on four real-world application problems. 4.1 Experimental Settings MOEA/D-DE [23] is integrated with the proposed framework for experiments, and the resulting algorithm is named IFCS-MOEA/D-DE. Five surrogate-based MOEAs, i.e., FCS-MOEA/D-DE [39], CPS-MOEA [41], CSEA [29], MOEA/DEGO [43] and EDN-ARM-OEA [12] are used for comparison. UF1–10, LZ1–9 test problems [44, 23] with complicated PSs are used for experiments. Among them, UF1–7, LZ1–5, and LZ7–9 have 2 objectives, UF8–10, and LZ6 have 3 objectives. UF1–10, LZ1–5, and LZ9 are with 30 decision variables, and LZ6–8 are with 10 decision variables. The population size N is set to 45 for all compared algorithms. The maximum number of FEs is set as 500 since the problems are viewed as expensive MOPs [39]. For each test problem, each algorithm is executed 21 times independently. For IFCS-MOEA/D-DE, wmax is set to 30 and η is set to 5. For the other algorithms, we use the settings suggested in their papers. The IGD [6] metric is used to evaluate the performance of each algorithm. All algorithms are examined on PlatEMO [34] platform.

2023-05-24 上传
2023-07-09 上传