Superconducting Ring Array Pattern Modeling, Characterization, and Propagation for Microwave Through Terahertz Frequencies
IEEE NATIONAL AEROSPACE AND ELECTRONICS CONFERENCE, NAECON 2024(2024)
Air Force Inst Technol
Abstract
In recent work, we have demonstrated the capability of directional beam forming in the microwave portion of the electromagnetic spectrum using linear superconducting ring arrays, triggered by an ultra-fast laser pulse. This paper extends these developments by presenting modeling of microwave radiation patterns covering the entire four pi steradian sphere, and outlining an experimental plan for detailed characterization of planar arrays. Experimental data is compared with the simulations conducted in this study, showing good agreement that builds confidence for further work. Planned research is presented to include array design optimizations for varying frequencies into the THz region. Additional research will include experimental and computational investigation of THz propagation using previously developed laser atmospheric propagation software. If successful, the numerical models used could prove beneficial in predicting real time absorption characteristics.
MoreTranslated text
Key words
Terahertz,THz,superconductor,YBCO
求助PDF
上传PDF
View via Publisher
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
Summary is being generated by the instructions you defined