An experiment with ultracold atoms reveals that a strongly driven quantum system doesn’t always heat up as expected. In daily ...
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 ...
A new proof demonstrates the power of arithmetic dynamics, an emerging discipline that combines insights from number theory and dynamical systems. Joseph Silverman remembers when he began connecting ...
A high-resolution Arctic Ocean dynamical downscaling dataset for understanding past and future climate change was established. The dataset includes 115-year historical simulations from 1900 to 2014 ...
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Can deep learning techniques predict sudden state transitions in nonlinear dynamical systems?
Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change.
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