Author

Alexander A. Ryabov

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#graph neural networks Open access Oct 2026

Learnable coarsening for two-phase flow in porous media

Abstract Hydrodynamic simulations of multi-phase flow in porous media are essential for oil production forecasting but require significant computational resources. Traditional approaches lead to high memory and time demands, restricting multi- scenario analysis. We propose a learnable coarsening algorithm based on grap...

Viacheslav Naumov, Nikolay B. Yavich, Alexander A. Ryabov et al. · Machine Learning Science and... · 0 citations

#graph neural networks Open access Oct 2026

Combined DFT/GNN analysis of compositional disorder and defects in MeX 2 (Me = Mo, W; X = S, Se) monolayers

Abstract Chemical disorder and point defects critically influence the properties of two-dimensional (2D) materials, but their theoretical description is limited by the vast configurational space of possible atomic arrangements, which is intractable for conventional first-principles methods such as density functional th...

Roman A. Eremin, Aliaksei V. Krautsou, Innokentiy S. Humonen et al. · 2D Materials · 0 citations