Complex network theory has become a key analytical framework in modern physics for studying structure, dynamics, and emergent behaviour in complex systems.

The study of complex dynamics and automorphisms of manifolds centres on understanding the evolution of complex systems via iterative processes and the symmetries inherent in complex geometric spaces.

Uncovering the relationship between structure (connectivity) and function (neuronal activity) is a fundamental question across many areas of biology. However, investigating this directly in animal ...

This chaotic-looking "double pendulum" follows a large number of rules that govern its motion. Researchers have trained AI to take data from its movements to uncover simple equations that successfully ...

The study is published in the July 18, 2025, issue of Nature Chemistry. Operating significantly faster than traditional all-atom molecular dynamics, CGSchNet enables larger proteins and complex ...

A research team at Duke University has developed a new AI framework that can uncover simple, understandable rules that govern some of the most complex dynamics found in nature and technology. The AI ...

The beliefs we hold develop from a complex dance between our internal and external lives. A recent study uses well-known formalisms in statistical physics to model multiple aspects of belief-network ...

The concurrence of ecological and evolutionary processes often arises as an integral part of various biological and social systems. We here study eco-evolutionary dynamics by adopting two paradigmatic ...

Boston Dynamics’ humanoid robot may have skipped the inaugural “robot Olympics” in China last week, but that doesn’t mean the engineers behind the machine have been sitting around watching the world ...