How to steer acoustic waves in a random medium in a programmable way?

Recently emerged aperiodic textured metamaterials have opened up routes to multi-functional and programmable functionalities. Such possibilities have, however, been explored mainly in quasi-static regimes. Here, we show that the “tuning-by-pruning” strategy enables realizing multi-frequency steering in random elastic networks thus showing a way to the rational design of a new class of programmable acoustic metamaterials.