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Propelling atomically layered magnets toward green computers
MIT scientists have tackled key obstacles to bringing 2D magnetic materials into practical use, setting the stage for the next generation of energy-efficient computers.
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Our work accepted by Nat Commun. Big Congratulations!
Our work “Tetris-inspired detector with neural network for radiation mapping”, led by our team members Ryotaro, former group member Shangjie, and NSE alumnus Jayson, has been accepted by Nature Communications. Conventional radiation detection often uses a…
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Researchers harness 2D magnetic materials for energy-efficient computing
An MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.
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Making more magnetism possible with topology
MIT researchers show how topology can help create magnetism at higher temperatures.
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Tongtong defended her PhD thesis. Big Congratulations, Dr Liu!
Tongtong successfully defended her PhD Thesis titled “Probing Entanglement and Symmetry Breaking Orders via Spectroscopies and Machine Learning’’. Big Congratulations!
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Our work accepted by Nat Commun. Big Congratulations!
Our work “Topology Stablized Fluctuations in a Magentic Nodal Semimetal”, led by our team members Nathan, Thanh, and Phum has been accepted by Nature Communications. The work is about finding a new role that topology can…
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Thanh becomes SOE Distinguished Energy Efficiency Fellow. Congratulations!
Thanh has been selected to receive the 2023-2024 School of Engineering Distinguished Energy Efficiency Fellow. This fellowship recognizes “graduate students who show excellence in conducting research in energy-efficient systems.” Thanh has been “selected to receive…
