A neural network approach for two-body systems with spin and isospin degrees of freedom
Abstract
Abstract We propose an enhanced machine learning method to calculate the ground state of two-body systems. By extending the original method [Phys. Rev. Res. 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 unsupervised machine learning technique. The validity of this method is verified by calculating the unique bound state of the deuteron.
Fields of Study & Subjects
Control and Stability of Dynamical Systems
Scientific Research and Discoveries
Quantum chaos and dynamical systems
Publication details
- Journal / source
- Nuclear Science and Techniques
- Publisher
- Springer Science and Business Media LLC
- Volume
- 37
- Issue
- 7
- Publication date
- 10 April 2026
- Language
- EN