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Master thesis: JAT (Jraph Attention Networks), a deep learning architecture to predict the potential energy and forces of molecules. Adapts Graph Attention Networks (GATv2) within the Message Passing Neural Networks framework to computational chemistry in JAX
Plot individual potential functions that comprise force fields. Ideal for presentations. Includes energy terms for bonds (harmonic), angles (harmonic), proper torsion (periodic cosine), improper torsion (harmonic), van der Waals (Lennard-Jones), electrostatics (Coulomb), and the Morse potential.