Sound Propagation

Sound propagation research focuses on accurately modeling how sound waves travel and interact with environments, aiming to improve audio rendering and environmental acoustic analysis. Current efforts concentrate on developing advanced models, including physics-based diffusion models for ultrasound imaging, neural networks for predicting acoustic effects, and deep operator networks for simulating wave propagation in complex 3D scenes, often incorporating techniques like path tracing and normal mode analysis. These advancements are crucial for applications ranging from virtual and augmented reality to architectural acoustics and underwater sound source localization, enabling more realistic simulations and improved understanding of sound behavior in diverse settings. The development of efficient and accurate surrogate models for computationally expensive simulations is also a key area of focus.