Permutationally invariant polynomial potential energy surfaces for tropolone and H and D atom tunneling dynamics
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Title
Permutationally invariant polynomial potential energy surfaces for tropolone and H and D atom tunneling dynamics
Authors
Keywords
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Journal
JOURNAL OF CHEMICAL PHYSICS
Volume 153, Issue 2, Pages 024107
Publisher
AIP Publishing
Online
2020-07-09
DOI
10.1063/5.0011973
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Note: Only part of the references are listed.- Efficient Generation of Permutationally Invariant Potential Energy Surfaces for Large Molecules
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- (2017) Pavlo O. Dral et al. JOURNAL OF CHEMICAL PHYSICS
- Full- and reduced-dimensionality instanton calculations of the tunnelling splitting in the formic acid dimer
- (2017) Jeremy O. Richardson PHYSICAL CHEMISTRY CHEMICAL PHYSICS
- Potential energy surfaces from high fidelity fitting ofab initiopoints: the permutation invariant polynomial - neural network approach
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- Communication: Fitting potential energy surfaces with fundamental invariant neural network
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- An ab initio potential energy surface for the formic acid dimer: zero-point energy, selected anharmonic fundamental energies, and ground-state tunneling splitting calculated in relaxed 1–4-mode subspaces
- (2016) Chen Qu et al. PHYSICAL CHEMISTRY CHEMICAL PHYSICS
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- (2015) Jörg Behler INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
- Gaussian approximation potentials: A brief tutorial introduction
- (2015) Albert P. Bartók et al. INTERNATIONAL JOURNAL OF QUANTUM CHEMISTRY
- Communication: An accurate full 15 dimensional permutationally invariant potential energy surface for the OH + CH4 → H2O + CH3 reaction
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- Permutationally Invariant Fitting of Many-Body, Non-covalent Interactions with Application to Three-Body Methane–Water–Water
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- “Plug and play” full-dimensional ab initio potential energy and dipole moment surfaces and anharmonic vibrational analysis for CH4–H2O
- (2015) Chen Qu et al. PHYSICAL CHEMISTRY CHEMICAL PHYSICS
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- Neural network-based approaches for building high dimensional and quantum dynamics-friendly potential energy surfaces
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- Communication: A benchmark-quality, full-dimensional ab initio potential energy surface for Ar-HOCO
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- Mode-specific tunneling using the Qim path: Theory and an application to full-dimensional malonaldehyde
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- Permutation invariant polynomial neural network approach to fitting potential energy surfaces. II. Four-atom systems
- (2013) Jun Li et al. JOURNAL OF CHEMICAL PHYSICS
- Permutation invariant polynomial neural network approach to fitting potential energy surfaces
- (2013) Bin Jiang et al. JOURNAL OF CHEMICAL PHYSICS
- On representing chemical environments
- (2013) Albert P. Bartók et al. PHYSICAL REVIEW B
- High-dimensional neural network potentials for metal surfaces: A prototype study for copper
- (2012) Nongnuch Artrith et al. PHYSICAL REVIEW B
- Atom-centered symmetry functions for constructing high-dimensional neural network potentials
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- Molpro: a general-purpose quantum chemistry program package
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- Gaussian Approximation Potentials: The Accuracy of Quantum Mechanics, without the Electrons
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- Permutationally invariant potential energy surfaces in high dimensionality
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