Financial markets are among the most well-studied and closely watched complex systems in existence. This rich literature on market modeling and analysis has led to many important innovations, such as automated tools for detecting ...
The ATLAS Collaboration at CERN has just released the first open dataset from the Large Hadron Collider's (LHC) highest-energy run at 13 teraelectronvolts (TeV). The new release is specially developed for science education, ...
Understanding the various molecular interactions and structures that arise among surface water molecules would enable scientists and engineers to develop all sorts of novel hydrophobic/hydrophilic materials or improve existing ...
Roofs and the downwind sides of buildings in street canyons have the lowest levels of particulate matter during a single-source pollution event, according to Penn State researchers. The findings have implications for improving ...
To build cheaper and more efficient sustainable energy options, we need to know a lot more than we currently do about the chemical reactions that convert solar energy into electricity. One of the best ways to do that is through ...
A journey to Mars is not going to be easy and there are a number of problems that need to be solved before we go. One interesting problem is how do we monitor the astronauts themselves. Of course, it is easy to monitor their ...
Before they can get started at their field site—a giant cave studded with stalactites, stalagmites and human artifacts—15 undergraduate students must figure out how to use their virtual hands and tools. They also must ...
"Think what we can do if we teach a quantum computer to do statistical mechanics," posed Michael McGuigan, a computational scientist with the Computational Science Initiative at the U.S. Department of Energy's Brookhaven ...
Inspired by the science fiction of the spacefaring Romulans of Star Trek, astrophysicists have used XSEDE-allocated supercomputers to develop cosmological computer simulations called RomulusC, where the 'C' stands for galaxy ...
The ability to generate optimized nanomaterials with artificial neural networks can significantly revolutionize the future of materials design in materials science. While scientists had progressively created small and simple ...
