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A machine learning approach to design with magneto dielectric nano-composite (MDNC) substrate for planar inverted-F antenna (PIFA) is presented. A new mixing rule model has been developed. A database of material properties has been created using several particle radius and volume fraction. A second database built with antenna simulations has been developed to complete the machine learning dataset...
Antenna size has fundamental limits based on the frequency of operation and performance required. In the past, various methods have been developed to miniaturize antennas with limited success. Magneto-dielectric materials, however, have been reported as providing new opportunities for effective antenna size reduction in many recent studies. In this paper, a novel material characterization method which...
This paper presents processing, integration and characterization of a new class of magneto-dielectrics consisting of metal nanoparticles in a polymer matrix for antenna applications. These nanomagnetic materials exhibit several attractive features for antenna applications, such as simpler thick-film processing, higher permittivity and permeability, and lower loss. Extraction of permeability and loss...
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