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NSE’s Thanh Nguyen and Mingda Li with an MIT team precisely controlled an ultrathin magnet at room temperature, which could enable faster, more efficient processors and computer memories.

The results, published by a team of MIT researchers including Prof Mingda Li, open the door to exploring superconductivity and other exotic electronic states in three-dimensional materials.

Researchers have been working for years to understand the electron topology and magnetism in certain semimetals have been frustrated by the fact that the materials only display magnetic properties if they are cooled to just a few degrees above absolute zero. A...

Award is given each year by the School of Engineering to an outstanding educator up for promotion to associate professor without tenure.

Li along with his co-PIs from MIT, UCSB, and Boston College will work to accelerate research in topological quantum materials.

NSE collaborative research on molten salt corrosion shows that controlling one-dimensional wormhole corrosion could help advance power plant designs

Knowing the magnetic structure of crystalline materials is critical to many applications, including data storage, high-resolution imaging, spintronics, superconductivity, and quantum computing. Information of this sort, however, is difficult to come by. Although magnetic structures can be obtained from neutron diffraction and...

NSE’s Mingda Li and a team of researchers from MIT, Harvard, Princeton and ANL have shown that Using machine learning and simple X-ray spectra, can uncover compounds that might enable next-generation computer chips or quantum devices.

MIT researchers discovered hidden magnetic properties in multi-layered electronic material by analysing polarized neutrons using neural networks. 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,”...

Scientists around the world are developing new hardware for quantum computers, a new type of device that could accelerate drug design, financial modeling, and weather prediction. They rely on qubits, bits of matter that can represent some combination of 1 and 0...