By applying machine learning to vast TESS datasets, researchers have built one of the most precise catalogs of nearby exoplanets to date.

A new study shows that stars with low magnetic activity are likely to support exoplanetary systems, making the hunt for these celestial objects less random.

The molten planet, with an atmosphere rich in sulfur-bearing gases, is unlike anything astronomers have ever smelled.

Scientists have uncovered a hellish “lava world” where temperatures soar to a blistering 2,700 degrees Fahrenheit — hot ...