Optomechanical reservoir computing.

ABSTRACT: Nonlinear dynamics are pervasive phenomena in natural and synthetic material systems, where time-varying signals from different physical stimuli in the environment influence the material system behavior. Physical reservoir computing leverages these nonlinear dynamics to produce complex input-output mappings by interpreting the dynamical system as a physical recurrent neural network. A source of physical nonlinearity is crucial for enabling the reservoir to predict nonlinear relationships. Despite the significance of nonlinearity, most physical reservoirs leverage only a single source of nonlinearity. Furthermore, there exists a gap between analyses that examine fundamental capabilities of reservoir computers and those that evaluate the practical performance of reservoir computers. In this

SUBMITTER: Kiyabu S 

PROVIDER: S-EPMC12305078 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature