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The prediction of quantum mechanical properties is historically plagued by a trade-off between accuracy and speed.
PhysNet: A Neural Network for Predicting Energies, Forces, Dipole Moments and Partial Charges
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Modern Quantum Chemistry: Introduction to Advanced Electronic Structure Theory
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Transferable Multi-level Attention Neural Network for Accurate Prediction of Quantum Chemistry Properties via Multi-task Learning
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