Abstract
Acoustic tweezers leverage acoustic radiation forces for noncontact manipulation. One of the core bottlenecks in multidimensional manipulation is the lack of a systematic design methodology, which prevents the generation of an acoustic field that simultaneously meets the collaborative control requirements of multi-degree-of-freedom forces and torques, making it difficult to achieve precise control under conditions of stable suspension, high-frequency rotation, and complex spatial constraints. To address this challenge, we develop an end-to-end inverse design methodology for acoustic tweezers based on coding metasurfaces, establishing a dual-objective, dual-scale optimization paradigm. At the microscale, the phase modulation and transmission efficiency are co-optimized through coupled physical models. While at the mesoscale, the particle suspension and rotation dynamics are considered. Based on the inverse design framework constructed with a finite-bit element library, we successfully optimized the metasurface configuration with specific acoustic response characteristics and achieved noncontact, multi-degree-of-freedom customized manipulation of individual particles. This approach provides implementation pathways for adaptive multiscale strategies in precision engineering applications.