<ul><li>New technology for energy storage is necessary for the large-scale adoption of renewable energy sources like wind and solar.</li><li>The Open Catalyst Project aims to apply advances in graph neural networks (GNNs) to accelerate progress in catalyst discovery.</li><li>This study evaluates lightweight approaches for catalyst discovery, making it more approachable for smaller teams and individuals from diverse backgrounds.</li><li>By implementing robust design patterns, a GNN model was trained with high accuracy in predicting per-atom forces of adsorbate-surface interactions.</li></ul>

Best Research on Geometric Deep Learning part2

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