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

Recent developments of universal machine learning interatomic potentials (UMLIPs) offer a fast route for screening molecular crystals based on geometry relaxation and energy ranking, but their reliability across chemically diverse energetic materials remains elusive. In particular, it is unclear whether or not these UM...

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