2019
DOI: 10.1073/pnas.1815117116
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Ab initio thermodynamics of liquid and solid water

Abstract: Thermodynamic properties of liquid water as well as hexagonal (Ih) and cubic (Ic) ice are predicted based on density functional theory at the hybrid-functional level, rigorously taking into account quantum nuclear motion, anharmonic fluctuations and proton disorder. This is made possible by combining advanced free energy methods and state-of-the-art machine learning techniques. The ab initio description leads to structural properties in excellent agreement with experiments, and reliable estimates of the meltin… Show more

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Cited by 294 publications
(362 citation statements)
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References 66 publications
(81 reference statements)
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“…As described throughout this work, this improved electronic structure is not sufficient to provide a quantitative description of the structural properties of liquid water, and there is still room for further improvement. At the level of vdW-inclusive hybrid DFT, the revPBE0-D3 functional [21,22,27,28] appears to predict a g OO (r) in better overall agreement with experiment [29]. However, that functional predicts smaller NQEs than PBE0-TS; for example, the differences between the classical and quantum RDFs for H 2 O reported in Ref.…”
Section: Potential Improvement and Future Outlookmentioning
confidence: 71%
“…As described throughout this work, this improved electronic structure is not sufficient to provide a quantitative description of the structural properties of liquid water, and there is still room for further improvement. At the level of vdW-inclusive hybrid DFT, the revPBE0-D3 functional [21,22,27,28] appears to predict a g OO (r) in better overall agreement with experiment [29]. However, that functional predicts smaller NQEs than PBE0-TS; for example, the differences between the classical and quantum RDFs for H 2 O reported in Ref.…”
Section: Potential Improvement and Future Outlookmentioning
confidence: 71%
“…This "human-learning" method is sufficient for this simple three-body potential; machinelearning strategies would also be possible. [13][14][15] To illustrate the structure of the three-body potential, Fig. 7 shows the energy of the (2+3)-body coarse The effective interaction in this three-particle system is shown with symbols (FG) in (a), calculated by Jarzynski integration.…”
Section: Appendix C: Coarse Model With Three-body Interactionsmentioning
confidence: 99%
“…It shares many features with importance sampling methods, biased sampling techniques, 22,23 and free-energy perturbation methods 24 (see for example Ref. 15 for a recent application of this method, in order to correct for coarse-graining errors). Our implementation of the TL method is informed by recent mathematical results and has been chosen to minimise the systematic errors (bias) in our estimates of properties of the FG system.…”
Section: Introductionmentioning
confidence: 99%
“…In the first stepρ scp (r) are those obtained within the harmonic approximation. In the second loop we calculate the ensemble averages of the forces and the Hessian, necessary to perform the optimization steps described in equation 26. These are realized as Gaussian integrals and computed using MC importance sampling as…”
Section: Self-consistent Phononsmentioning
confidence: 99%
“…14 The problem is exacerbated for the case of organic solids, which require a proper description of anharmonicity arising from quantum nuclear motion even at room temperature. [15][16][17][18] This is similarly true for (i) systems containing light elements, such as hydrogen, [19][20][21] helium 22 and water, 23 ice, [24][25][26] metal organic frameworks , 27,28 the record high-T c conventional superconductor SH 3 , 29 (ii) systems of reduced effective dimensionality such as graphene 30,31 and (iii) molecular systems such as paracetamol. 18 Within the BO approximation 32 and given the BO potential, exact anharmonic free energies can be calculated using approaches based on imaginary time path integral (PI) simulations.…”
Section: Introductionmentioning
confidence: 99%