2017
DOI: 10.1039/c6sc04711d
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Ab initio molecular dynamics simulations of liquid water using high quality meta-GGA functionals

Abstract: We have used ab initio molecular dynamics (AIMD) to characterize water properties using two meta-generalized gradient approximation (meta-GGA) functionals, M06-L-D3 and B97M-rV, and compared their performance against a standard GGA corrected for dispersion, revPBE-D3, at ambient conditions (298 K, and 1 g cm–3 or 1 atm).

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Cited by 125 publications
(158 citation statements)
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References 133 publications
(150 reference statements)
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“…by Lin et al [65], and has been related to improper description of the curvatures of potential energy surfaces. Recently, Pestana et al have demonstrated similar effects in BOMD simulations of liquid water by comparing the performance of dispersioncorrected GGA with high quality meta-GGA functionals [66]. More proper modeling of the vibrational response would, hence, call for the use of more advanced approximations to the exchange-correlation functional, possibly by employing non-local hybrid functionals.…”
Section: Inelastic Neutron Scatteringmentioning
confidence: 90%
“…by Lin et al [65], and has been related to improper description of the curvatures of potential energy surfaces. Recently, Pestana et al have demonstrated similar effects in BOMD simulations of liquid water by comparing the performance of dispersioncorrected GGA with high quality meta-GGA functionals [66]. More proper modeling of the vibrational response would, hence, call for the use of more advanced approximations to the exchange-correlation functional, possibly by employing non-local hybrid functionals.…”
Section: Inelastic Neutron Scatteringmentioning
confidence: 90%
“…65 This finding is consistent with a recent calculation of water clusters up to pentamer revealing that revPBE-D3 benefits from a subtle cancellation of error and that more accurate meta-GGA functionals in conjunction with NQE will provide the correct description of liquid water. 66 In order to ascertain differences between the empirical and the DFT-based interaction potentials for water, we have investigated the local structure of ambient water by looking into the distribution of the d 5 order parameter that represents the distance of the 5 th nearest neighbor from a tagged water molecule. We demonstrated that this order parameter probes the local heterogeneity of water and demonstrates that DFT based potentials exhibit a broad range of local environments, in contrast to the empirical models.…”
Section: Discussionmentioning
confidence: 99%
“…Although recent AIMD simulations of liquid water with B97M-rV have already yielded encouraging results across a large set of water properties 29 , it remains to further test the B97M-rV density functional for solids, liquids, and interfaces in order to see if its demonstrated accuracy for various molecular interactions extends to properties that are significantly different from those used to train its parameters.…”
Section: Discussionmentioning
confidence: 99%