High pressure markedly increases finite-nuclear-size corrections and electron-capture decay rates in confined hydrogenlike ions while removing level degeneracies.
A neural network approach for two-body systems with spin and isospin degrees of freedom
1 Pith paper cite this work. Polarity classification is still indexing.
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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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physics.atom-ph 1years
2026 1verdicts
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Finite-nuclear-size effect for hydrogenlike ions under high external pressure
High pressure markedly increases finite-nuclear-size corrections and electron-capture decay rates in confined hydrogenlike ions while removing level degeneracies.