A Study of Nuclear Structure and Neutron Stars with a Bayesian Neural Network Approach
In this dissertation, we introduce a new approach in building a hybrid nuclear model that combines some existing theoretical models and a \universal" approximator. The goal of such an approach is to obtain new predictions of nuclear masses and charge radii. We begin our...
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| Format: | Others |
| Language: | English English |
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Florida State University
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| Online Access: | http://purl.flvc.org/fsu/fd/FSU_FA2016_Utama_fsu_0071E_13557 |