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Machine Learning Reveals Quantum Phases of Matter

By: Roger Melko,  Physics World
Tue, 06/12/2018

Cornell physicist Eun-Ah Kim and her colleagues utilize machine learning to discover new information above what is known of condensed matter physics. 

"This is an example of machines beating prior work by humans", says Roger Melko of the University of Waterloo in Canada, who was not involved in the work.  The full Physics World article can be found here.

 

Photo of Eun-Ah Kim

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