Tailoring optical properties of randomly nanotextured layers via Anderson localization
通过安德森定位调整随机纳米纹理层的光学特性
基本信息
- 批准号:410519108
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:德国
- 项目类别:Priority Programmes
- 财政年份:2018
- 资助国家:德国
- 起止时间:2017-12-31 至 2022-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
This project combines experimental, theoretical, and nanoengineering approaches to identify a universal design concept enabling efficient localization of light in disordered thin optical layers. The absorptivity of a material cannot be easily tuned. However, trapping of light in localized states enhances the light-matter interaction in thin layers and thus enhances absorption. Tailoring the coupling efficiency of localized modes to the external field therefore is an interesting mechanism to enhance absorption. Randomly nanotextured absorbers are known to enhance absorption in thin absorber layers. However, controversies about the enhancement mechanism persist and clear design strategies for efficient absorbers are still missing. We propose investigating theapplication of light localization in disordered but suitable tailored twodimensional layers to achieve enhanced or even perfect absorption. In a preliminary study we demonstrated that light localization in a thin nanotextured a-Si:H absorber layer dominates absorption in the long-wavelength tail of the absorptivity. Based on this we will systematically tailor the disorder in such layers to identify the critical nanotexture parameters that support efficient light localization. Initially a-Si:H will serve as a model absorber material for which the applicability of the used experimental methods is already demonstrated. In the course of the project also other materials such as metal-halide perovskites and transparent conductive oxides (TCOs) as wide-band gap dielectrics will be investigated. Top-down (focused ion beam (FIB)) and bottom-up (growth control, etching) nanotexturing methods in combination with interface characterization (TEM, SEM, AFM) are applied to prepare and characterize nanotextured absorber layers that are then investigated by thermionic emission microscopy in combination with coherent 2D nanoscopy and spectromicroscopy of scattered light. The first milestone of the project is the demonstration of efficient light trapping in nanotextured layers custom made by employing top-down nanofabrication methods. The top-down approach allows a systematic variation of tailored disordered layers and thus the establishment of universal design concepts for efficient light trapping via localization. The identification of crucial nanotexture properties is assisted by theoretical modeling (FDTD solver) of the response of nanostructured layers. Based on this we will tune the coupling efficiency between localized modes and external radiation fields towards the regime of critical coupling, i.e. equal coupling and internal loss. For this case perfect absorption of the localized modes is expected. In addition, the prospect of forming high-quality (high-Q) random resonators via localization in disordered dielectric layers is investigated by extending the scheme to materials with a lower absorptivity than a-Si:H.
该项目结合了实验,理论和纳米工程方法,以确定一个通用的设计概念,使光在无序薄光学层的有效定位。材料的吸收率不易调节。然而,光在局域态中的捕获增强了薄层中的光-物质相互作用,从而增强了吸收。因此,调整局域模与外场的耦合效率是增强吸收的一种有趣机制。已知随机纳米织构化吸收体增强薄吸收体层中的吸收。然而,关于增强机制的争议仍然存在,并且仍然缺少有效吸收器的明确设计策略。我们建议研究光局域化在无序但合适的定制二维层中的应用,以实现增强甚至完美的吸收。在一项初步研究中,我们表明,在一个薄的纳米织构的a-Si:H吸收层的光局部化占主导地位的吸收率的长波长尾部的吸收。在此基础上,我们将系统地调整这些层中的无序,以确定支持有效光定位的关键纳米纹理参数。最初a-Si:H将作为模型吸收体材料,所使用的实验方法的适用性已经得到证明。在该项目的过程中,还将研究其他材料,如金属卤化物钙钛矿和透明导电氧化物(TCO)作为宽带隙材料。自上而下(聚焦离子束(FIB))和自下而上(生长控制,蚀刻)的纳米纹理的方法结合界面表征(TEM,SEM,AFM)应用于制备和表征纳米纹理的吸收层,然后通过电子发射显微镜与相干的2D纳米显微镜和散射光的光谱显微镜相结合的研究。该项目的第一个里程碑是采用自上而下的纳米制造方法在纳米纹理层中进行有效的光捕获演示。自上而下的方法允许定制的无序层的系统变化,从而建立通用的设计概念,通过本地化有效的光捕获。关键的nanotexture属性的识别辅助的nanostructured层的响应的理论建模(FDTD求解器)。在此基础上,我们将调整局域模式和外部辐射场之间的耦合效率向临界耦合的制度,即相等的耦合和内部损耗。在这种情况下,期望局域模的完全吸收。此外,通过将该方案扩展到吸收率低于a-Si:H的材料,研究了通过在无序介质层中局域化形成高质量(高Q)随机谐振器的前景。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Professor Dr. Martin Aeschlimann其他文献
Professor Dr. Martin Aeschlimann的其他文献
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