Statistical physics is primarily concerned with equilibrium, macroscopic ensemble properties of a collection of elements and provides a framework for understanding and predicting the collective ...

Complex networks are ubiquitous: a cell, the human brain, a group of people and the Internet are all examples of interconnected many-body systems characterized by macroscopic properties that cannot be ...

A study published in Nature Communications and directed by Professor Carlo Vittorio Cannistraci, Director of the Center for Complex Network Intelligence (CCNI) at the Tsinghua Laboratory of Brain and ...

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 ...

This article is part of a larger project by The Michigan Daily to examine University of Michigan research trends by analyzing academic paper citations. The Michigan Daily spoke with Mark Newman, ...

The original version of this story appeared in Quanta Magazine. A few centuries ago, the swirling polychromatic chaos of Jupiter’s atmosphere spawned the immense vortex that we call the Great Red Spot ...

Physics is the study of the underlying laws and mechanisms explaining how the universe works. Most of what we do in daily life is based on a principle or law of physics—dealing with forces, motion, ...

Living organisms, our planet and even the entire universe are getting ever more complex with time. “Complex” doesn’t just mean “complicated”: it means that the parts of a system interact in ways that ...

A machine-learning AI can solve physics problems by simplifying them to be more symmetric. “There are many, many cases in the history of science where people thought things were more complicated than ...

Physics lies at the core of the earth sciences. It is essential for understanding the deep structure of Earth and the natural phenomena that affect Earth's surface, such as earthquakes and volcanic ...