Inverse scattering approach by using cost functional consisting the approximated stored energy with no information on incident field

Author(s):  
Toshifumi MORIYAMA ◽  
Toshiyuki TANAKA ◽  
Takashi TAKENAKA
2020 ◽  
Author(s):  
Trevor Brown ◽  
Yousef Vahabzadeh ◽  
Christophe Caloz ◽  
Puyan Mojabi

<pre>A method based on electromagnetic inversion is extended to facilitate the design of passive, lossless, and reciprocal metasurfaces. More specifically, the inversion step is modified to ensure that the field transformation satisfies local power conservation, using available knowledge of the incident field. This paper formulates a novel cost functional to apply this additional constraint, and describes the optimization procedure used to find a solution that satisfies both the user-defined field specifications and local power conservation. Lastly, the method is demonstrated with a two-dimensional (2D) example.</pre>


2020 ◽  
Author(s):  
Trevor Brown ◽  
Yousef Vahabzadeh ◽  
Christophe Caloz ◽  
Puyan Mojabi

<pre>A method based on electromagnetic inversion is extended to facilitate the design of passive, lossless, and reciprocal metasurfaces. More specifically, the inversion step is modified to ensure that the field transformation satisfies local power conservation, using available knowledge of the incident field. This paper formulates a novel cost functional to apply this additional constraint, and describes the optimization procedure used to find a solution that satisfies both the user-defined field specifications and local power conservation. Lastly, the method is demonstrated with a two-dimensional (2D) example.</pre>


2020 ◽  
Author(s):  
Trevor Brown ◽  
Yousef Vahabzadeh ◽  
Christophe Caloz ◽  
Puyan Mojabi

<pre>A method based on electromagnetic inversion is extended to facilitate the design of passive, lossless, and reciprocal metasurfaces. More specifically, the inversion step is modified to ensure that the field transformation satisfies local power conservation, using available knowledge of the incident field. This paper formulates a novel cost functional to apply this additional constraint, and describes the optimization procedure used to find a solution that satisfies both the user-defined field specifications and local power conservation. Lastly, the method is demonstrated with a two-dimensional (2D) example.</pre>


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