Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide. - Ganesh Sivaraman; Anand Narayanan Krishnamoorthy; Matthias Baur; Christian Holm; Marius Stan; Gábor Csányi; Chris J. Benmore; Álvaro Vázquez-Mayagoitia (CoRR, 2019)

An Experimentally Driven Automated Machine Learned lnter-Atomic Potential for a Refractory Oxide. - Ganesh Sivaraman; Leighanne Gallington; Anand Narayanan Krishnamoorthy; Marius Stan; Gábor Csányi; Álvaro Vázquez-Mayagoitia; Chris J. Benmore (CoRR, 2020)

Deciphering diffuse scattering with machine learning and the equivariant foundation model: The case of molten FeO. - Ganesh Sivaraman; Chris J. Benmore (CoRR, 2024)