Chrome Extension
WeChat Mini Program
Use on ChatGLM

Surface-patterned Chalcogenide Glasses with High-Aspect-ratio Microstructures for Long-Wave Infrared Metalenses

Opto-Electronic Science(2024)

Faculty of Electrical Engineering and Computer Science

Cited 0|Views3
Abstract
Multidimensional-engineering chalcogenide glasses is widely explored to construct various infrared photonic devices,with their surface as a key dimension for wavefront control.Here,we demonstrate direct patterning high-aspect-ratio mi-crostructures on the surface of chalcogenide glasses offers an efficient and robust method to manipulate longwave in-frared radiations.Despite chalcogenide glass being considered soft in terms of its mechanical properties,we successfully fabricate high-aspect-ratio micropillars with a height of 8 μm using optimized deep etching process,and we demonstrate a 2-mm-diameter all-chalcogenide metalens with a numerical aperture of 0.45 on the surface of a 1.5-mm-thick As2Se3 glass.Leveraging the exceptional longwave infrared(LWIR)transparency and moderate refractive index of As2Se3 glass,the all-chalcogenide metalens produces a focal spot size of~1.39λ0 with a focusing efficiency of 47%at the wavelength of 9.78 μm,while also exhibiting high-resolution imaging capabilities.Our work provides a promising route to realize easy-to-fabricate,mass-producible planar infrared optics for compact,light-weight LWIR imaging systems.
More
Translated text
Key words
chalcogenide glasses,long wave infrared,metalens
求助PDF
上传PDF
Bibtex
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
  • Pretraining has recently greatly promoted the development of natural language processing (NLP)
  • We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
  • We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
  • The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
  • Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Upload PDF to Generate Summary
Must-Reading Tree
Example
Generate MRT to find the research sequence of this paper
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper

要点】:本文提出了一种在硫族玻璃表面直接刻蚀高纵横比微结构的方法,实现了长波红外金属透镜的高效制造与操控。

方法】:通过优化的深腐蚀过程,在砷化硒(As2Se3)玻璃表面成功制造了高度为8微米的高纵横比微柱。

实验】:作者在1.5毫米厚的As2Se3玻璃表面制造了一个直径为2毫米、数值孔径为0.45的全硫族金属透镜,并在9.78微米波长下,实现了约1.39λ0的焦斑尺寸和47%的聚焦效率,同时展示了高分辨率成像能力。实验使用了As2Se3玻璃。