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arXiv · 2403.16819

A neural network approach for two-body systems with spin and isospin degrees of freedom

Chuanxin Wang·Tomoya Naito·Jian Li·Haozhao Liang
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Abstract

We propose an enhanced machine learning method to calculate the ground state of two-body systems. By extending the original method [Naito, Naito, and Hashimoto, Phys. Rev. Research 5, 033189 (2023)], the present method enables consideration of 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 the deuteron.

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Chuanxin Wang, Tomoya Naito, Jian Li, Haozhao Liang. 2024-03-25. A neural network approach for two-body systems with spin and isospin degrees of freedom. https://doi.org/10.1007/s41365-026-01946-x

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