Harnessing light polarization provides a powerful degree of freedom for optical communications, imaging, and sensing. Two-dimensional (2D) anisotropic semiconductors have emerged as a promising platform for miniaturized on-chip polarimetry; however, their polarization responses remain constrained by intrinsic crystal symmetries and static device geometries, limiting functional tunability. Here, we demonstrate continuous and dynamic control over optoelectronic anisotropy in a 2D rhenium disulfide semiconductor through acoustoelectric coupling with surface acoustic waves (SAWs). SAW propagation through the semiconducting channel substantially enhances the photovoltage response via an acousto-drag photovoltaic mechanism. This acoustoelectric coupling not only amplifies the global photoresponse but also continuously rotates its polarization symmetry axis—shifting from the intrinsic orientation of the rhenium disulfide crystal to that of the lithium niobate substrate—as the acoustic power increases. Crucially, by adopting a machine learning algorithm, i.e., random forest, we achieve independent and simultaneous detection of both optical power and linear polarization angle within a planar, integrated device. These findings establish a previously unknown paradigm in acoustoelectronics for dynamically reconfigurable polarimetry, mediated by hybrid phonon-charge interactions in 2D materials.
Jiang et al. (Fri,) studied this question.