Machine learning has emerged as a powerful tool in condensed matter physics, offering new perspectives on the exploration of quantum many-body systems, phase transitions and exotic states of matter.
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 ...
Alfredo has a PhD in Astrophysics and a Master's in Quantum Fields and Fundamental Forces from Imperial College London.View full profile Alfredo has a PhD in Astrophysics and a Master's in Quantum ...
A new review in Nature chronicles the many ways machine learning is popping up in particle physics research. Experiments at the Large Hadron Collider produce about a million gigabytes of data every ...
The laws of physics stay the same no matter one’s perspective. Now this idea is allowing computers to detect features in curved and higher-dimensional space. Computers can now drive cars, beat world ...
If there’s one thing that unites pretty much all of us who like physics, it’s that we’ve all sat through physics classes at some point in our lives. We all know teachers and lecturers who’ve been ...
Some instruments in teaching laboratories may look old-fashioned, but those wooden boxes can hold surprisingly advanced equipment. George Herold describes his career designing experiments for ...
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