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 ...
Overview: Quantum Physics for Beginners by Carl J. Pratt simplifies core ideas like wave-particle duality and entanglement, making it ideal for first-time reade ...
A team of scientists at Los Alamos National Laboratory is applying machine-learning algorithms to subsurface imaging that will impact a variety of applications, including energy exploration, carbon ...
John Hopfield and Geoffrey Hinton were awarded the 2024 Nobel Prize in physics on Tuesday for their contributions to machine learning. Their research, which draws from statistical physics, helped ...
In recent courses, I have noticed two troubling practices of physics students. The first is the student response to homework problems. I hear the following kind of statements all too often: "Oh, you ...
Examine the theories around energy and matter with faculty researchers who are making their mark in the physics world. Explore optics and photonics, the physics behind music, and more at an R1 ...
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Ultra‑robust machine‑learning models run stable molecular simulations at extreme temperatures
Researchers at The University of Manchester have created a physics‑informed machine‑learning model that can run molecular ...
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