Geometric deep learning has been revolutionizing the molecular modeling field. Despite the state-of-the-art neural network models are approaching ab initio accuracy for molecular property prediction, ...
The remarkable ability of natural organisms to perceive and interpret spatial relationships based on geometric analysis is in stark contrast to the coordinate- dependent computational paradigms ...
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Interactions between theoretical computer science and mathematics (particularly algebraic geometry, representation theory, and group theory). In particular, this currently involves studying orbit ...
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