Contextualization
Noise pollution is a growing concern in many urban areas, with transport noise having a significant impact on residents in densely populated regions. Existing solutions often fall short in effectively reducing this type of pollution. Meta-surfaces can enable spatiotemporal modulation and transform how we control and manage sound. However, progress has been hindered by experimental challenges and limitations in current control algorithms. Supported by the Marie Skłodowska-Curie Actions programme, the INTSURFACE project will develop a real-time, adaptive meta-surface capable of spatiotemporal modulation. The project will draw on a range of theoretical and numerical frameworks, create machine learning-based control systems for the meta-surface, and ultimately build and test working prototypes.