Ferromagnetic resonance (FMR) is a powerful technique for studying the interaction between microwaves and magnetic materials. Microscopic magnetic phenomena, such as FMR, enable the control and manipulation of magnetic materials through external fields. In this research, an FMR measurement system is being developed to analyze how external magnetic fields induce resonance in a material’s magnetic moments. By measuring the resonance frequency, we can determine the material’s ability to absorb specific microwave frequencies and power levels. The system is designed to be highly sensitive to different types of magnetic materials, their thicknesses, magnetic ordering, and chemical composition. These findings are essential for understanding magnetic material behavior in wireless applications, providing insights into their potential for advanced communication technologies.

Infrasound—low-frequency sound below the threshold of human hearing—has been used for decades to monitor natural and human-made events, including volcanic eruptions, meteorite entries, and explosions. While most studies focus on very low frequencies (below 5 Hz), there is growing interest in higher frequencies, including the edge of the audible range (5–30 Hz), which may better capture smaller or more local events. This study addresses that gap by deploying high-frequency (HF) infrasound arrays within existing monitoring networks in Nevada and South Korea. The Nevada HF array, installed in 2023, enhances the detection of nearby signals that traditional arrays may miss. Using a new signal-processing software package, Cardinal, one year of data was analyzed to extract signal direction, speed, and strength through array-based techniques. Events were cataloged, including repeating sources such as mining activity, machinery, and explosions from the Hawthorne Munitions Depot. Ambient noise levels were averaged across the year and compared to existing infrasound low- and high-noise models, revealing frequency-dependent gaps in current frameworks. Preliminary results suggest the Nevada HF array improves detection of local signals and enhances regional monitoring in complex environments. This work supports advancements in infrasound monitoring and demonstrates the utility of smaller-scale arrays for studying atmospheric sound propagation. Ongoing work will examine spatial and frequency-dependent coherency of signal and noise across the array using coherence metrics, and incorporate atmospheric modeling to assess noise variability under changing conditions, guiding detection improvements and informing the design of next-generation high-frequency infrasound arrays.