PoS - Proceedings of Science
Volume 429 - The 6th International Workshop on Deep Learning in Computational Physics (DLCP2022) - Posters
Neuromorphic improvement of the Weizsäecker formula
M.O. Dima
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Pre-published on: November 14, 2022
Published on:
Abstract
Yearly, nuclide mass data is fitted to improved versions of the Bethe-Weizsäecker formula. The present attempt at furthering the precision of this endeavour aims to reach beyond just precision, and obtain predictive capability about the "Stability Island" of nuclides. The method is to perform a fit to a recent improved liquid drop model with isotonic shift. The residuals are then fed to a neural network, with a number of "feature" quantities. The results are then discussed in view of their perspective to predict the "Stability Island".
DOI: https://doi.org/10.22323/1.429.0029
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