Machine-learned potentials enable fast quartic force field generation and VPT2 calculations of vibrational energies for 21-atom aspirin, yielding the first quantum anharmonic results for a molecule of this size.
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CUTS-GPR performs numerically exact Gaussian process regression with near-linear scaling in training points N and low-order polynomial scaling in dimensions D by exploiting additive kernels on incomplete grids.
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VPT2 Calculations of Vibrational Energies of CH3COOC6H4COOH Done in Seconds on a Laptop Using a Machine Learned Potential
Machine-learned potentials enable fast quartic force field generation and VPT2 calculations of vibrational energies for 21-atom aspirin, yielding the first quantum anharmonic results for a molecule of this size.
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Don't Get Your Kroneckers in a Twist: Gaussian Processes on High-Dimensional Incomplete Grids
CUTS-GPR performs numerically exact Gaussian process regression with near-linear scaling in training points N and low-order polynomial scaling in dimensions D by exploiting additive kernels on incomplete grids.