Neutron PDF regression

Neutron PDF regression is a technique that predicts the neutron pair distribution function (PDF) by analyzing the spectra of nanomaterials. The goal of this task is to extract features from complex graph-structured data and build an accurate regression model to predict the PDF values in neutron scattering experiments. This aids in gaining a deeper understanding of the microstructure and properties of nanomaterials, providing crucial insights for the design and optimization of new materials.