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Machine Learning for Space Group Prediction by Ahmed Shalaby is a document available to read on EtoBox.
What is Machine Learning for Space Group Prediction about?
This document presents a machine learning method for predicting the space group of a structure using atomic pair distribution functions (PDFs). A convolutional neural network (CNN) model was trained on over 100,000 PDFs and achieved a 91.9% accuracy in identifying the correct space group among the top-6 estimates. The model also demonstrated effectiveness on experimental PDFs, indicating potential for broader applications in crystallography.
- Author
- Ahmed Shalaby
- Language
- EN