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O-O hemi-bonding in cationic water clusters: Benchmarks from DFT, PNO-LCCSD(T), and FN-DMC
Xiaojun Zhou1, Zhiru Huang2, Yushan Zhou1
1School of Physics & Information Science, Shaanxi University of Science and Technology, Xi'an 710021, China.
Proton-transferred structures are more stable than O-O hemi-bonded water cluster cations. Density functional theory (DFT) methods struggle with dissociation energies, but hybrid meta-generalized gradient approximation (meta-GGA) functionals perform well for relative energies.
Area of Science:
- Physical Chemistry
- Computational Chemistry
- Quantum Chemistry
Background:
- Water cluster cations ((H2O)n+) are crucial models for ionized aqueous environments.
- Understanding the stability of O-O hemi-bonded motifs in these clusters is challenging.
- Accurate description of relative energetics and dissociation behavior is needed.
Purpose of the Study:
- To systematically benchmark computational methods for studying cationic water clusters (n=2-8).
- To determine the relative energetics of hemi-bonded versus proton-transferred isomers.
- To evaluate O-O bond dissociation energies and complete dissociation energies.
Main Methods:
- High-level coupled cluster calculations (CCSD(T)-F12b/CBS) were used as reference.
- Benchmarking of various density functional theory (DFT) functionals, including hybrid meta-GGA and double hybrids.
- Explicitly correlated PNO-LCCSD(T)-F12 and diffusion Monte Carlo methods were employed for validation.
Main Results:
- Proton-transferred isomers are consistently more stable than hemi-bonded structures.
- O-O bond dissociation energies significantly exceed hydrogen bond strengths, indicating strong hemi-bonding.
- Hybrid meta-GGA and double hybrid functionals show good performance for relative energies, but dissociation energies remain challenging for most DFT approximations.
Conclusions:
- Proton-transferred structures are the preferred isomers in cationic water clusters.
- Strong three-electron hemi-bonding interactions are present in O-O hemi-bonded motifs.
- Advanced computational methods like explicitly correlated coupled cluster and diffusion Monte Carlo are reliable for larger systems.
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