Machine learning is becoming an essential part of a physicist’s toolkit. How should new students learn to use it? When Radha Mastandrea started her undergraduate physics program at MIT in 2015, she ...

This Collection supports and amplifies research related to SDG3, SDG9 and SDG10. Physics-Informed Machine Learning (PI-ML) combines principles from physics- and biology-based modeling with data-driven ...

A research team has studied the development of the Shanghai Typhoon Model from a traditional physics-based regional model ...

Two scientists have been awarded the Nobel Prize in Physics “for foundational discoveries and inventions that enable machine learning with artificial neural networks.” John Hopfield, an emeritus ...

For more than 20 years in experimental particle physics and astrophysics, machine learning has been accelerating the pace of science, helping scientists tackle problems of greater and greater ...

By combining physics-based methods with machine learning, a team at the Institute of Thermodynamics and Sustainable Propulsion Systems at TU Graz is ...

Overall, the application of the Variational Autoencoder not only enhances the analytical capabilities of quantum simulations but also offers new perspectives for understanding the physical properties ...

A pair of AI scientists won the Nobel Prize in physics on Tuesday for foundational discoveries and inventions that enable machine learning with artificial neural networks. John J. Hopfield, a ...

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 ...

Two pioneers in artificial intelligence, John Hopfield and Geoffrey Hinton, were awarded the Nobel Prize in Physics on Tuesday for their foundational contributions to machine learning, which is ...

By Mackenzie Devereux The Standard Model, depicting the fundamental building blocks of the universe, including top quarks. Courtesy of Cush via Wikimedia Commons Sitong An, a physicist at Carnegie ...