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Chinese Academy of Sciences
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Hybrid functional DFT calculations can now be accurately learned by neural networks using compact AO Hamiltonians derived from PW data, bypassing the need for explicit nonlocal operator reconstruction.
Unveiling the atom-level origins of second-harmonic generation in crystals reveals that two-center atomic interactions dominate, challenging the assumption that complex multi-center effects are always key.