Chaos is a peer-reviewed journal devoted to increasing the understanding of nonlinear phenomena. Chaos covers a range of topics in the broadly interdisciplinary area of nonlinear science in a manner accessible to researchers from a broad spectrum of disciplines, and publishes special Focus Issues regularly.
This Focus Issue is being published jointly with “Nonautonomous Dynamics in the Climate Sciences.” We encourage authors to submit their papers to whichever Focus Issue best fits their research. Nonautonomous…
This Focus Issue is being published jointly with “Nonautonomous Dynamical Systems: Theory, Methods, and Applications.” We encourage authors to submit their papers to whichever Focus Issue best fits their research.…
Following massive advances in microscopic and macroscopic single-particle tracking and supercomputing, the theoretical investigation of fluctuations and anomalous dynamics in complex systems is currently of high interest. Modeling random walks…
This Special Topic focuses on topics of complex systems, in particular, we will be interested in Complexity and Machine Learning (ML), from the point of view of physics and mathematics.…
Reservoir computing leverages the response of driven dynamic systems for data-driven modeling, time-series prediction, classification, and control. In the past, recurrent neural networks have primarily served as dynamic reservoirs, but…