New tool untangles complex dynamics on hypergraphs

Networks are a powerful model for describing connected systems in biological, physical, social, and other environments. As useful as they are, though, conventional networks are static and are limited to describing links between ...

New images lead to better prediction of shear thickening

For the first time, researchers have been able capture images providing unprecedented details of how particles behave in a liquid suspension when the phenomenon known as shear thickening takes place. The work allows us to ...

When physics meets financial networks

Generally, physics and financial systems are not easily associated in people's minds. Yet, principles and techniques originating from physics can be very effective in describing the processes taking place on financial markets. ...

Scientists recognize intruders in noise

A team of scientists from MIPT and Kazan National Research Technical University is developing a mathematical apparatus that could lead to a breakthrough in network security. The results of the work have been published in ...

3D printing stem cells to transform neuroscience

3D printing, also called additive manufacturing, has become widespread in recent years. By building successive layers of raw material such as metals, plastics, and ceramics, it has the key advantage of being able to produce ...

VR visualization supports research on molecular networks

Networks offer a powerful way to visualize and analyze complex systems. However, depending on the size and complexity of the network, many visualizations are limited. Protein interactions in the human body constitute such ...

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