The high resolution and long timeline make it able to explore a wide range of interesting protostellar physics. "One of the key goals of these simulations was to generate a large dataset to ...

ClimSim is the largest-ever dataset designed for hybrid ML-physics research. It comprises multi-scale climate simulations, developed by a consortium of climate scientists and ML researchers. It ...

Bottom left compares downscaling to 12km resolution by a dynamical (physics-based) model compared with bottom right, downscaling to 12km resolution using machine learning (with much lower ...

High-resolution simulations explore the physics of star formation. Story by Science X staff • 4d. S tars are born in clouds of gas and dust, making it difficult to observe their early development.

"One of the key goals of these simulations was to generate a large dataset to explore the physics of star formation. Each model has around 3,000 single images spread out over a time period of 60 days.