Electromagnetic Inversion for Characterization and Design

提出的研究开发了新的算法和技术，从外部电磁特征中表征感兴趣的区域，并探索裁剪电磁场的新可能性。该研究的独特之处在于，所有这些算法和技术都源于一个一致且灵活的框架，即电磁反演框架，然后应用于不同的应用领域：天线表征、近场成像、北极遥感以及工程表面和材料的设计。本研究旨在提高表征的可实现精度和分辨率，并提供更大的设计灵活性。

The proposed research develops novel algorithms and techniques to characterize the regions of interest from their external electromagnetic signatures, and to explore new possibilities in tailoring electromagnetic fields. The unique aspect of the proposed research is that all these algorithms and techniques stem from one consistent and flexible framework, called the electromagnetic inversion framework, and are then applied to diverging application areas: antenna characterization, near-field imaging, Arctic remote sensing, and the design of engineered surfaces and materials. This research aims to enhance the achievable accuracy and resolution in characterization, and to provide increased flexibility in design.