Wave Propagation

Wave propagation research focuses on understanding and predicting how waves travel through various media, aiming to improve modeling accuracy and efficiency across diverse applications. Current research emphasizes the use of deep learning, particularly convolutional neural networks and generative adversarial networks, to address complex wave phenomena, often coupled with physics-informed models to enhance accuracy and speed. These advancements are impacting fields ranging from wireless communication and structural health monitoring to medical imaging and geophysical exploration by enabling faster, more accurate simulations and improved data analysis techniques. The development of robust, efficient, and generalizable models for wave propagation remains a key objective.