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    AI enhances molecular design with uncertainty quantification

    1 week ago

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    In a major step toward more reliable AI-assisted molecular design, researchers from National Taiwan University have demonstrated that incorporating uncertainty quantification (UQ) into graph neural network (GNN) models significantly improves both the efficiency and robustness of molecular optimization.
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