Encoding reprogrammable properties into magneto-mechanical materials via topology optimization

Abstract The properties of materials and structures typically remain fixed after being designed manufactured. There is a growing interest in systems with the capability altering their behaviors without changing geometries or material constitutions, because such reprogrammable could unlock multiple functionalities within single design. We introduce an optimization-driven approach, based on multi-objective magneto-mechanical topology optimization, to design magneto-active metamaterials whose can be seamlessly reprogrammed by switching off external stimuli fields. This optimized system exhibits one response under pure mechanical loading, switches distinct joint magnetic stimuli. discover experimentally demonstrate metastructures that realize wide range responses, including multi-functional actuation adaptable snap-buckling behaviors, switchable deformation modes, tunable bistability. proposed approach paves way for promising applications as actuators, soft robots, energy harvesters.