Can the dynamics of CHAOS be exploited with spintronics?
Amel Kolli, a PhD student at SPEC as part of the SPINCOM project within the SPIN Research Program, presents in a video the preliminary results of the analysis of chaotic time traces from micromagnetic simulations.
Magnetization dynamics, characterized by its highly nonlinear nature, generates complex phenomena such as spin wave turbulence and chaos. As part of the SPINCOM Main Project, one of the main objectives is to harness this dynamics within magnetic nano-oscillators. Two primary applications are targeted: the generation of truly random numbers for data encryption and secure wireless communication, as well as fast and efficient preprocessing of rapidly varying signals.
Chaotic dynamic systems exhibit diverse mathematical structures, enabling the modeling of irregular temporal behaviors and anomalies in systems that, on the surface, appear deterministic but display unpredictable characteristics.
To analyze these behaviors, the phase space reconstruction method is used. It allows for quantifying chaos and assessing its robustness through measurements such as Lyapunov exponents and fractal dimensions. These mathematical tools provide precise means to characterize time series and better anticipate their evolution.
