Nuclear Binding Energy & Grodzins Product Prediction

This project uses Python to predict nuclear properties such as E(2^+_1) and B(E2; 0^+ -> 2^+) using LightGBM models. The project also calculates the Grodzins product based on the predictions.

Prerequisites

Before running the code, make sure you have the following Python libraries installed:

• numpy
• pandas
• lightgbm
• matplotlib
• scikit-learn

You can install them using:

pip install numpy pandas lightgbm matplotlib scikit-learn