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Quantum anharmonic vibrational energies of a 21-atom molecule can now be computed on a laptop in minutes, thanks to a new software package leveraging machine-learned potentials.
Despite using fundamentally different machine learning architectures, PIP and PhysNet potentials yield remarkably consistent results for vibrational properties and tunneling dynamics, suggesting that both can reliably represent complex potential energy surfaces.
