3 papers
nucl-th2026
Optimizing artificial neural networks for dipole strength predictions in light nuclei
Tim Egert, Weiguang Jiang, Sonia Bacca
We present an optimized artificial neural network approach for predicting electric dipole strength functions in nuclei with . Building upon a previous global study [Phys.Re…
nucl-th2024
Data-driven analysis of dipole strength functions using artificial neural networks
Weiguang Jiang, Tim Egert, Sonia Bacca +2
We present a data-driven analysis of dipole strength functions across the nuclear chart, employing an artificial neural network to model and predict nuclear dipole responses. We tr…
nucl-th2024
16O electroweak response functions from first principles
Bijaya Acharya, Joanna E. Sobczyk, Sonia Bacca +2
We present calculations of various electroweak response functions for the 16O nucleus obtained using coupled-cluster theory in conjunction with the Lorentz integral transform metho…