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Using machine learning, an MIT team detected the magnetic proximity effect in topological materials that can lead to electronics without energy dissipation. The framework is readily transferable to different kinds of problems, such as the superconducting proximity effect in the field of quantum computing. ....

Henry Heiberger , Zhantao Chen , Kangl Wang , Chris Leighton , Mingda Li , Nina Andrejevic , University Of California At Los Angeles , Pennsylvania State University , Mcknight University Professor , National Institute Of Standards , University Of Minnesota , Department Of Nuclear Science , Normanc Rasmussen Career Development Professor , National Institute , Career Development Professor , Nuclear Science , Applied Physics , Leon Fan , Distinguished Professor , Raytheon Chair , Electrical Engineering , Distinguished Mcknight University Professor , Energy Office , Neutron Scattering , Magnetic Proximity Effect , Superconducting Proximity Effect ,