Machine learning is becoming a familiar tool in all aspects of physics research: in experiments from experimental design and optimization, to data acquisition and analysis; in numerical simulation and ...

Innovative machine learning techniques are rapidly transforming particle accelerator physics by integrating advanced data analytics with established accelerator models. This integration has led to ...

Researchers employ machine learning to more accurately model the boundary layer wind field of tropical cyclones. Conventional approaches to storm forecasting involve large numerical simulations run on ...

Teaching artificial intelligence to understand simple physics concepts, such as that one solid object can’t occupy the same space as another, could lead to more capable software that takes less ...