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The influence of temperature and density functional models in ab initio molecular dynamics simulation of liquid water
Open accessAbstract
The performance of density functional theory methods for the modeling of condensed aqueous systems is hard to predict and validation by ab initio molecular simulation of liquid water is absolutely necessary. In order to assess the reliability of these tests, the effect of temperature on the structure and dynamics of liquid water has been characterized with 16 simulations of 20 ps in the temperature range of 280–380 K. We find a pronounced influence of temperature on the pair correlation functions and on the diffusion constant including nonergodic behavior on the time scale of the simulation in the lower temperature range (which includes ambient temperature). These observations were taken into account in a consistent comparison of a series of density functionals (BLYP, PBE, TPSS, OLYP, HCTH120, HCTH407). All simulations were carried out using an ab initio molecular dynamics approach in which wave functions are represented using Gaussians and the density is expanded in an auxiliary basis of plane waves. Whereas the first three functionals show similar behavior, it is found that the latter three functionals yield more diffusive dynamics and less structure.
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Lee, C., Yang, W., & Parr, R. G. (1988) · Physical Review B · doi:10.1103/physrevb.37.785 · Cited by 100,874
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Metadata
- Authors
- VandeVondele, J., Mohamed, F., Krack, M., Hutter, J., Sprik, M., & Parrinello, M.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2004-12-15
- Volume
- 122
- Issue
- 1
- Pages
- 14515-14515
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2044311570
- Cited by
- 509
- References
- 1
- FWCI
- 14.95
- Type
- journal article
- Language
- en
- Open access
- green
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- VandeVondele, J., Mohamed, F., Krack, M., Hutter, J., Sprik, M., & Parrinello, M. (2005). The influence of temperature and density functional models in ab initio molecular dynamics simulation of liquid water. The Journal of Chemical Physics. https://doi.org/10.1063/1.1828433
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.