Deep-learning density functionals for gradient descent optimization.
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DOI: 10.1103/physreve.106.045309
Abstract: Machine-learned regression models represent a promising tool to implement accurate and computationally affordable energy-density functionals to solve quantum many-body problems via density functional theory. However, while they can easily be trained to accurately map ground-state… read more here.
Keywords: density functionals; density; gradient descent; ground state ... See more keywords