This session explores the role of nonlinear and chaotic dynamics in emerging devices, with a particular focus on memristors, coupled oscillators, and related architectures.
Chaotic and complex behaviors, once regarded as mathematical curiosities, are increasingly recognized as fundamental to understanding the dynamics of next-generation electronic and neuromorphic systems.
Contributions will address both theoretical and applied perspectives: from the development of mathematical models and analytical tools to the experimental characterization of devices that exhibit nonlinear and chaotic responses.
Special attention will be given to how concepts such as attractors, bifurcations, synchronization, and self-organization provide new insights into the design, operation, and optimization of devices at different scales.
The session aims to bridge fundamental chaos theory with real-world implementations, highlighting how complexity can be harnessed to enable novel functionalities in information processing, sensing, and unconventional computing.
By bringing together expertise from nonlinear dynamics, physics of materials, and device engineering, the session will provide a platform for cross-disciplinary discussion on how chaos can move from being a challenge to becoming a resource for future technologies.