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MIT Uses AI To Discover Hidden Magnetic Properties in Multi-Layered Electronic Material

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MIT researchers discovered hidden magnetic properties in multi-layered electronic material by analyzing polarized neutrons using neural networks. An MIT team incorporates AI to facilitate the detection of an intriguing materials phenomenon that can lead to electronics without energy dissipation. Superconductors have long been considered the principal approach for realizing electronics without resistivity. In the past decade, a new family of quantum materials, "topological materials," has offered an alternative but promising means for achieving electronics without energy dissipation (or loss). Compared to superconductors, topological materials provide a few advantages, such as robustness against disturbances.


MIT Uses AI To Discover Hidden Magnetic Properties in Multi-Layered Electronic Material

#artificialintelligence

"By bringing machine learning into our methodology, we hoped to get a clearer picture of what's going on," notes Mingda Li, the Norman C.

  Industry: Media > News (0.67)

MIT Uses AI To Discover Hidden Magnetic Properties in Multi-Layered Electronic Material

#artificialintelligence

MIT Uses AI To Discover Hidden Magnetic Properties in Multi-Layered Electronic Material. TOPICS:Artificial IntelligenceMachine LearningMIT …

  Industry: Media > News (0.74)