We propose an enhanced machine learning method to calculate the ground state of two-body systems. Compared to the original method [Naito, Naito, and Hashimoto, Phys. Rev. Research 5, 033189 (2023)], the present method enables one to consider the spin and isospin degrees of freedom by employing a non-fully-connected deep neural network and the unsupervised machine learning technique. The validity of this method is verified by calculating the unique bound state of deuteron.
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Wang et al. (2024) studied this question.
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