The award-winning, state-of-the-art research facility is now officially ready to host scientific exploration, collaboration and innovation.

A professor at the University of Tennessee reimagines the way we teach STEM with a science-fiction story-based class.

The new Dark Energy Survey year five results used machine learning to obtain a new measurement that offers insights into the density of the mysterious force driving the Universe’s expansion. The results were presented recently at the 243rd meeting of the American Astronomical Society meeting. What does this all mean? Don Lincoln explains.

In the culmination of a decade’s worth of effort, the DES collaboration of scientists analyzed an unprecedented sample of more than 1,500 supernovae classified using machine learning. They placed the strongest constraints on the expansion of the universe ever obtained with the DES supernova survey. While consistent with the current standard cosmological model, the results do not rule out a more complex theory that the density of dark energy in the universe could have varied over time.

Don Lincoln explores the mysteries of black holes and if we will ever really know what lies in the center of these enormous cosmic regions in space.

Interesting Engineering lists the top seven amazing innovations that pushed the boundaries of science and technology in 2023. Included in this line up is the latest announcement from the Muon g-2 collaboration with more evidence of a new force of nature that could revolutionize our understanding of the universe.

To determine whether sterile neutrinos exist, researchers at Fermilab have constructed two new detectors as part of the Short-Baseline Neutrino (SBN) Program that they hope will resolve the situation once and for all.