42 citations · 83 across the 15 of their papers we have counts for
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cond-mat.mtrl-sci2022★ 8 cited
Equivariant Networks for Crystal Structures
Sékou-Oumar Kaba, Siamak Ravanbakhsh
Supervised learning with deep models has tremendous potential for applications in materials science. Recently, graph neural networks have been used in this context, drawing direct…
cond-mat.mtrl-sci2021★ 16 cited
Prediction of Large Magnetic Moment Materials With Graph Neural Networks and Random Forests
Sékou-Oumar Kaba, Benjamin Groleau-Paré, Marc-Antoine Gauthier +3
Magnetic materials are crucial components of many technologies that could drive the ecological transition, including electric motors, wind turbine generators and magnetic refrigera…