At low temperatures, many materials transition into an electronic phase which cannot be classified as a simple metal or insulator. So-called quantum phases of matter, like superconductors and spin liquids, are hard to study due to their fragile nature, making nonintrusive and indirect measurements important. We will explore the connection between electronic phases and nuclei in these materials via simulations of nuclear magnetic resonance (NMR). By using external magnetic pulses, the nuclear spins can be controlled, and their time-evolution (time-dependent magnetization) studied.
Python and some experience in Machine Learning. For using the NMR simulation code, familiarity with CUDA (GPU) and the Julia language will be helpful.
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