Electrical & Computer Engineering

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    NONLINEAR WAVE CHAOS AND THE RANDOM COUPLING MODEL
    (2019) Zhou, Min; Anlage, Steven M.; Electrical Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Concepts from the field of wave chaos have been shown to successfully predict the statistical properties of linear electromagnetic fields in electrically large enclosures. The Random Coupling Model (RCM) describes these properties by incorporating both universal features described by Random Matrix Theory and the system-specific features of particular system realizations. This Ph.D. thesis studies various approaches to extend the RCM to the nonlinear domain. Nonlinearity has been introduced to study the statistics of generated harmonics and amplitude dependent responses of complex electromagnetic structures. The sources of nonlinearity that have been studied include circuit elements such as diodes, nonlinear dielectrics, and superconducting materials. Nonlinear systems in different scenarios are studied and the RCM is applied and extended to explain the statistical results. This is an important step in the ongoing effort to create the science of nonlinear wave chaos.
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    Measurements of doping-dependent microwave nonlinear response in cuprate superconductors
    (2007-04-25) Mircea, Dragos Iulian; Anlage, Steven M; Electrical Engineering; Digital Repository at the University of Maryland; University of Maryland (College Park, Md.)
    Near-field microwave techniques have been successfully implemented in the past for the local investigation of magnetic materials and high-temperature superconductors. This dissertation reports on novel phase-sensitive linear- and nonlinear response microwave measurements of magnetic thin films and cuprate superconductors and their interpretation.