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cond-mat.mtrl-sci2026★ 3 cited
Machine Learning-Driven Crystal System Prediction for Perovskites Using Augmented X-ray Diffraction Data
Ansu Mathew, Ahmer A. B. Baloch, Alamin Yakasai +3
Prediction of crystal system from X-ray diffraction (XRD) spectra is a critical task in materials science, particularly for perovskite materials which are known for their diverse a…
cond-mat.mtrl-sci2021★ 78 cited
Extending Shannon's Ionic Radii Database Using Machine Learning
Ahmer A. B. Baloch, Saad M. Alqahtani, Faisal Mumtaz +3
In computational material design, ionic radius is one of the most important physical parameters used to predict material properties. Motivated by the progress in computational mate…