Small changes in conditions can cause dynamical systems to suddenly shift to new, potentially undesirable, regimes. However, characterizing previously unseen dynamical regimes—a critical bit of ...

A research team has developed a novel method for estimating the predictability of complex dynamical systems. Their work, "Time-lagged recurrence: A data-driven method to estimate the predictability of ...

Scientists usually use a hypergraph model to predict dynamic behaviors. But the opposite problem is interesting, too. What if researchers can observe the dynamics but don't have access to a reliable ...

Introduces the theory and applications of dynamical systems through solutions to differential equations.Covers existence and uniqueness theory, local stability properties, qualitative analysis, global ...

Abstract: Data-driven sparse identification of dynamical systems is a rapidly developing field within data science and artificial intelligence. While numerous algorithms have been developed to improve ...

The Department of Mechanical and Process Engineering (D-MAVT, www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The new professor is expected to contribute to the ...

A team of physicists has demonstrated numerically a dynamical one-parameter scaling called 'Family-Vicsek (FV) scaling,' originally found in surface growth physics, in disordered quantum systems. In ...

The Department of Mechanical and Process Engineering (D-MAVT, www.mavt.ethz.ch) at ETH Zurich invites applications for the above-mentioned position. The new professor is expected to contribute to the ...