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Training datasets for AIMNet2 machine-learned neural network potential

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Figshare2024-11-07 更新2026-04-28 收录
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https://figshare.com/articles/dataset/Training_datasets_for_AIMNet2_machine-learned_neural_network_potential/27629937
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The datasets contain molecular structures and the properties computed with B97-3c (GGA DFT) or wB97M-def2-TZVPP (range-separated hybrid DFT) methods. Each data file contains about 20M structures. DFT calculation performed with ORCA 5.0.3 software. Properties include energy, forces, atomic charges, and molecular dipole and quadrupole moments.
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2024-11-07
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