Machine
learning (ML) profoundly improves the accuracy of the fast
DU8+ hybrid density functional theory/parametric computations of nuclear
magnetic resonance spectra, allowing for high throughput in silico
validation and revision of complex alkaloids and other natural products.
Of nearly 170 alkaloids surveyed, 35 structures are revised with the
next-generation ML-augmented DU8 method, termed DU8ML.