ASAS-SN searches for supernova and finds variable stars too! They found so many (~90,000) that they decided to classify them all. How do you go about classifying 90,000 things? Machine learning, of course!
Can we teach a machine to reproduce the physics of turbulence? An exploration of using deep learning to simulate magnetohydrodynamic turbulence!
The longstanding role of galaxy mergers as drivers of star-formation is brought into question
A study of star clusters in the Milky Way has uncovered a peculiar trend in the way they are arranged.
A neural network enables transient classification with ongoing observations, potentially providing astronomers with more time to study the transient while it is still occurring.
Learn more about how a team at WVU is using machine learning algorithms to search for FRBs!