Up to two billion times acceleration of scientific simulations with deep neural architecture search Computer simulations are invaluable tools for scientific discovery. However, accurate simulations are often slow to execute, which limits their applicability to extensive parameter exploration, large-scale data analysis, and uncertainty quantification. A promising route to accelerate simulations...

Identifying sources of high-energy neutrinos of the AGN type: A theoretical approach Active galactic nuclei (AGN) have long been predicted to emit neutrinos if they host sites of cosmic-ray acceleration to very high energies. Until a few years ago neutrino astrophysics was merely a prediction by (some) cosmic-ray theorists. It...