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Faster experiment to find and study topological materials

Faster experiment to find and study topological materials
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Jovana Andrejevic , Joel Moore , Mingda Li , Nina Andrejevic , Jovana Andrejevic At Harvard University , Career Development Professor , University Of California At Berkeley , Princeton University , Argonne National Laboratory , Nobel Prize , Advanced Materials , Development Professor , Harvard University , Argonne National , Chern Simons Professor ,

A faster experiment to find and study topological materials

MIT researchers have found an efficient way to identify “topological” materials, whose surfaces can have different electrical or functional properties than their interiors. The approach should make it easier uncover materials that could be the basis of next-generation computer chips or quantum devices. ....

Fei Han , Joel Moore , Mingda Li , Nathan Drucker , Anatoly Frenkel , Jovana Andrejevic , Andrei Bernevig , Nina Andrejevic , Thanh Nguyen , Career Development Professor , Princeton University , Nicolas Regnault At Princeton University , National Science Foundation , Gilberto Fabbris At Argonne National Laboratory , Us Department Of Energy , Jovana Andrejevic At Harvard University , University Of California At Berkeley , Argonne National Laboratory , Chris Rycroft At Harvard University , Department Of Materials Science , Chemical Engineering At Stony Brook University , Brookhaven National Laboratory , Nobel Prize , Advanced Materials , Development Professor , Harvard University ,

Seeing an elusive magnetic effect through the lens of machine learning

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 ,

Fast-tracking the search for energy-efficient materials

MIT PhD student Nina Andrejevic is training her machine-learning models to hunt for new and useful traits in materials. With her twin sister Jovana, she has developed a method for testing material samples to predict the presence of topological characteristics that is faster and more versatile than other methods. ....

Nina Andrejevi , Maria Goeppert Mayer , Mingda Li , Nature Communications , Harvard University , Li Quantum Measurement Group , Argonne National Laboratory , Department Of Nuclear Science , Cornell University , Nuclear Science , Quantum Measurement Group , Advanced Science , Physical Review Letters , Maria Goeppert Mayer Fellowship , Materials Science And Engineering , Opological Characteristics , Nina Andrejevic , Jovana Andrejevic , Lingda Li , Quantum Engineering , X Ray Absorption Spectroscopy , It Twin Sisters , Omen In Stem , Women In Science , Women In Engineering ,

A streamlined approach to determining thermal properties of crystalline solids and alloys

In a September 2020 essay in Nature Energy, three scientists posed several "grand challenges" - one of which was to find suitable materials for thermal. ....

Jaime Fernandez Baca , Zhantao Chen , Tess Smidt , Lawrence Berkeley , Mingda Li , Nina Andrejevic , Nature Energy , Oak Ridge National Laboratory , Argonne National Laboratory , Quantum Matter Group , Lawrence Berkeley National Laboratory , National Science Foundation , Assistant Professor , Nuclear Science , Oak Ridge National , Oak Ridge , Energy Office , Lawrence Berkeley National , Artificial Intelligence , Machine Learning , Energy Storage , ஜெய்ம் பெர்னாண்டஸ் பாக்கா , டெஸ் ஸ்மிட்ட் , லாரன்ஸ் பெர்க்லி , இயற்கை ஆற்றல் , ஓக் ரிட்ஜ் தேசிய ஆய்வகம் ,