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Found 2 papers, 1 papers with code
Grad-Shafranov equilibria via data-free physics informed neural networks
A large number of magnetohydrodynamic (MHD) equilibrium calculations are often required for uncertainty quantification, optimization, and real-time diagnostic information, making MHD equilibrium codes vital to the field of plasma physics.
Polynomial Time Algorithms for Estimating Spectra of Adiabatic Hamiltonians
For greater than three wells, we present a tight binding approach with which to efficiently analyze the performance of such Hamiltonians in an adiabatic computation.
Quantum Physics
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