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Review Sep 2026

Reduced-basis method for linear response within nuclear density functional theory

Background: The quasiparticle random-phase approximation (QRPA) within nuclear density functional theory provides a powerful framework for describing collective excitations. Although the finite-amplitude method (FAM) efficiently solves the QRPA problem, repeated calculations for different external-field parameters rema...

N. Hinohara, Xilin Zhang, J. Engel · 1 citation
Preprint Sep 2026

Machine Learning $\beta$-decay Half-lives and Their Application to $r$-Process Observables

Accurately modeling $\beta$-decay half-lives of highly neutron-rich nuclei is a critical challenge for understanding $r$-process nucleosynthesis and the resulting kilonova light curves. We introduce a data-driven approach to model $\beta$ decay that uses Mixture Density Networks (MDNs) trained on the latest experimenta...

Meng-Ke Li, Flora Wang, J. Engel et al. · 0 citations

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