Validating an algebraic approach to characterizing resonator networks.

ABSTRACT: Resonator networks are ubiquitous in natural and engineered systems, such as solid-state materials, electrical circuits, quantum processors, and even neural tissue. To understand and manipulate these networks it is essential to characterize their building blocks, which include the mechanical analogs of mass, elasticity, damping, and coupling of each resonator element. While these mechanical parameters are typically obtained from response spectra using least-squares fitting, this approach requires a priori knowledge of all parameters and is susceptible to large error due to convergence to local minima. Here we validate an alternative algebraic means to characterize resonator networks with no or minimal a priori knowledge. Our approach recasts the equations of motion of the network into a li

SUBMITTER: Horowitz VR 

PROVIDER: S-EPMC10789822 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature