AME 2020

The 'AME 2020' dataset contains experimental binding energies for atomic nuclei and is used to evaluate the predictive accuracy of machine learning models for binding energy values.

Papers using AME 2020 (3)

Further exploration of binding energy residuals using machine learning and the development of a composite ensemble model2025 · 3 citesProduct units in gated recurrent units improve nuclear-mass prediction2026High Precision Binding Energies from Physics Informed Machine Learning2024