Research news on Chaos

Chaos, as a research area, investigates the behavior of deterministic nonlinear dynamical systems that exhibit sensitive dependence on initial conditions, leading to aperiodic, seemingly random evolution in phase space despite underlying determinism. It encompasses the study of strange attractors, bifurcation structures, Lyapunov exponents, fractal dimensions, and invariant measures, with applications across physics, chemistry, biology, engineering, and economics. Research in chaos focuses on rigorous characterization of chaotic regimes, routes to chaos (such as period-doubling and intermittency), control and synchronization of chaotic systems, and numerical and analytical methods for modeling, predicting, and quantifying complex spatiotemporal dynamics.

Data-driven model captures dynamics of turbulence at scale

Whether the dust borne on the violent winds of a tornado or the sugar grains in a swirled cup of coffee, the behavior of particles carried along in turbulence is subject to some similarities—all of them difficult to predict ...

Busseiron and the formation of a discipline in Japanese physics

The middle of the twentieth century was a period of significant scientific advancement, particularly in the realm of physics. Within this rapidly changing landscape, academic disciplines emerged and evolved to keep pace with ...

Boron arsenide semiconductor sets record in quantum vibrations

You may not be able to hear it, but all solid materials make a sound. In fact, atoms—bound in lattices of chemical bonds—are never silent nor still: Under the placid surface of each and every object in our surroundings, a ...

Predicting RNA activity expands therapeutic possibilities

With AI, it's now possible for researchers to predict the three-dimensional structures of proteins directly from their amino-acid sequences. But what biologists really want to predict, says Columbia biophysicist Hashim Al-Hashimi, ...

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