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A graph neural network can convert conventional PBE energies to r2SCAN-level accuracy, reducing prediction errors and enabling the integration of diverse DFT datasets.
OpenGEM26 not only surpasses QM9 in conformational diversity but also enables a graph neural network that achieves unprecedented accuracy in predicting molecular behaviors.
