The DOI matches its Crossref record.
Hydration of Li+ ion. An ab initio molecular dynamics simulation
Abstract
Ab initio Car–Parrinello molecular dynamics simulations of a Li+ ion in water have been carried out using the density-functional theory with Becke–Lee–Yang–Parr (BLYP) functional and ultrasoft Vanderbildt pseudopotentials. Both structural and dynamical properties of Li+ have been studied in detail and compared with available neutron scattering and spectroscopic data. Excellent agreement is obtained with the existing experimental data for the structure of the first hydration shell around the Li+ ion. Spectral features of bound water are compared to those of bulk water. Reasonable agreement is obtained with IR and Raman experiments. The ab initio simulation results have also been used to derive a Li+–water interaction potential. The best fit of the data gave a simple single-exponential potential function, which reproduces very well the liquid structure from the original ab initio simulations. This potential model, together with the simple point charge (SPC) water model, was applied to calculate the hydration free energy of Li+ using the Expanded Ensemble method.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
How Ions Affect the Structure of Water
Hribar, B., Southall, N. T., Vlachy, V., & Dill, K. A. (2002) · Journal of the American Chemical Society · doi:10.1021/ja026014h · Cited by 860
Simulation of Ca2+ and Mg2+ Solvation Using Polarizable Atomic Multipole Potential
Jiao, D., King, C., Grossfield, A., Darden, T. A., & Ren, P. (2006) · The Journal of Physical Chemistry B · doi:10.1021/jp062230r · Cited by 278
Lee, S. S., Fenter, P., Nagy, K. L., & Sturchio, N. C. (2012) · Langmuir · doi:10.1021/la300032h · Cited by 145
Metadata
- Authors
- Lyubartsev, A. P., Laasonen, K., & Laaksonen, A.
- Venue
- The Journal of Chemical Physics
- Publisher
- AIP Publishing
- Published
- 2001-02-15
- Volume
- 114
- Issue
- 7
- Pages
- 3120-3126
- ISSN
- 0021-9606 (ISSN-L)
- 1089-7690
- OpenAlex
- W2028559643
- Cited by
- 206
- References
- 0
- FWCI
- 8.96
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Hydration of Li+ ion. An ab initio molecular dynamics simulation. https://app.cochat.ai/papers/10.1063/1.1342815
- The paper
- Lyubartsev, A. P., Laasonen, K., & Laaksonen, A. (2001). Hydration of Li+ ion. An ab initio molecular dynamics simulation. The Journal of Chemical Physics. https://doi.org/10.1063/1.1342815
Data sources
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.