Network science has become a powerful tool to describe the structure and dynamics of real-world complex physical, biological, social, and technological systems. Largely built on empirical observations ...

Symbolic Regression (SR) is a powerful technique for discovering analytical mathematical expressions that describe observed numerical data. Traditionally, SR models work on data in tabular form, ...

A plot of the rescaled eigenvalue spectrum of horizontal visibility graphs in the Feigenbaum scenario. (Courtesy: J. Phys. A: Math. Theor. 10.1088/1751-8121/ab587f) By means of the so-called ...

In the AI era, pure data-driven meteorological and climate models are gradually catching up with, and even surpassing, traditional numerical models. However, significant challenges persist in current ...

The demand for immersive, realistic graphics in mobile gaming and AR or VR is pushing the limits of mobile hardware. Achieving lifelike simulations of fluids, cloth, and other materials historically ...

The Research Experiences for Undergraduates (REU) program supports active research participation by undergraduate students in the study areas funded by the National Science Foundation (NSF).

This video explains how the direction and gradient of a line on a velocity-time graph can tell us whether an object is accelerating, moving at a constant velocity or decelerating. Velocity time graphs ...