We use topology, the mathematics of continuous transformations, to build new wave devices with unprecedented robustness against fabrication imperfections, impedance mismatches or phase disorder.
We research how to shape the momentum of sound to move small objects in challenging environments, such as inhomogeneous or dynamic media.
We develop physical neural networks with highly efficient training and inference capabilities.
We use subwavelength spatial dispersion to produce a wide range of components, from integrated filters to antenna arrays, over small footprints and with increased energy efficiency.