Acoustic Propagation

Acoustic propagation research focuses on understanding and modeling how sound waves travel through various media, primarily aiming to accurately predict sound fields in complex environments. Current efforts involve developing data-efficient models, such as hybrid data-driven and physics-based approaches and neural network architectures like Neural Acoustic Fields, to overcome limitations of traditional methods that require extensive environmental data. These advancements are crucial for improving applications ranging from underwater acoustic communication and sensing to virtual and augmented reality experiences that incorporate realistic sound propagation.

Papers