Data science was born centuries ago when vast amounts of astronomical data first became available. To draw actionable conclusions from the information, new approaches for analyzing data had to be ...

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

A team of physicists at the University of Cologne has solved a long-standing problem of condensed matter physics: they have directly observed the Kondo effect (the re-grouping of electrons in a metal ...

It seems like everyone wants a piece of Lu Lu’s research. Biologists. Physicians. Astronomers. Climatologists. Physicists. Chemists. Materials scientists. The federal government. Even the occasional ...

The future of self-regulating microreactors may hinge less on artificial intelligence and more on the principles of physics. This represents a significant departure from the current trend in ...

In recent research published in Engineering, researchers from Tianjin University present LineGen, a novel physics-guided method that enables the generation of super-resolution load data (SRLD) for ...

Researchers at the University of Texas at Austin produced data-driven and hybrid data-physics based DIP models to analyze stuck pipe incidents at the Frontier Observatory for Research in Geothermal ...

A team of researchers at the Facility for Rare Isotope Beams (FRIB) at Michigan State University (MSU) has discovered that cobalt-70 isotopes form different nuclear shapes when their energy levels ...