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QPL: Exploring Physics-informed learning for ground-state calculations in quantum mechanics.

Inspired by a recent finding, , there is a direct link between finding the ground-state energy of atomic systens and training a physics-informed neural network. The goal of this repository is to explore that link further to see if it extends to larger molecules.

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Exploring Physics-informed learning for ground-state calculations in quantum mechanics.

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