Author

Osman Goni Ridwan

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Preprint Sep 2026

Benchmarking Universal Machine Learning Force Fields for Crystal Structure Prediction of High-Energy Molecular Systems

This work tested the hypothesis that classical force-field pre-relaxation can provide a more suitable starting geometry for subsequent UMLIP relaxation on a large database of high energy molecular crystals, and revealed distinct trade-offs among the evaluated models.

Musiha Mahfuza Mukta, Osman Goni Ridwan, R. Perriot et al. · 0 citations

Preprint Aug 2026

High-throughput Discovery of Magnetic Rare Earth Transition Metal Alloys

We present an accelerated materials discovery framework that combines diffusion-based crystal structure generation with hierarchical screening to identify new rare-earth--transition-metal magnets simultaneously achieving high magnetization and thermodynamic stability. Using this workflow, we systematically explored ove...

S. Tao, Osman Goni Ridwan, Li-Qin Ke et al. · 0 citations