Dataset of Fission Barriers and Ground-State Binding Energy

The data for WS4 comes from an article in Chinese Physics C (Fission barriers (in MeV) with Weizsaecker Skyrme (WS4) mass model), and similarly, we use the same range. After using neural network learning, we save the prediction results of the neural network in predict_desult_data.csv.

For the ground state binding energy data, we used the 2550 binding energies listed in AME2020 (excluding extrapolation entries) as experimental data and the data from the WS4 model as theoretical data. We subtracted the ground state binding energies of atoms with the same proton and mass numbers to obtain diff. csv.