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Aqueous Fe2S2 cluster: structure, magnetic coupling, and hydration behaviour from Hubbard U density functional theory
Umberto Terranova1, Nora H de Leeuw
1Department of Chemistry, University College London, London, WC1H 0AJ, UK. u.terranova@ucl.ac.uk.
We investigated the all-ferrous Fe2S2 cluster in water using DFT+U. Our findings show the cluster is stable in aqueous solution, with notable differences in hydration and geometry compared to gas-phase models.
Area of Science:
- Computational chemistry
- Materials science
- Inorganic chemistry
Background:
- The Fe2S2 cluster is a fundamental unit in various chemical and biological systems.
- Accurate theoretical modeling of such clusters in solution is crucial for understanding their properties.
Purpose of the Study:
- To investigate the electronic structure and properties of the all-ferrous Fe2S2 cluster in aqueous solution using DFT+U.
- To validate the DFT+U approach by comparing gas-phase results with high-accuracy CCSD(T) calculations.
Main Methods:
- Density Functional Theory with on-site Coulomb interaction (DFT+U) calculations.
- Geometry optimization and molecular dynamics simulations.
- Comparison with coupled-cluster calculations (CCSD(T)) and experimental data (X-ray diffraction, Mössbauer spectroscopy).
Main Results:
- An optimized U value was determined by matching gas-phase cluster geometry to CCSD(T) results.
- DFT+U accurately reproduced the experimental geometry and magnetic coupling of the aqueous Fe2S2 cluster.
- Molecular dynamics simulations confirmed the stability of Fe2S2(aq) in water.
- Significant differences in geometry, hydration, and exchange constants were observed between solvated and gas-phase clusters.
Conclusions:
- The DFT+U method, with a carefully chosen U value, provides a reliable description of the Fe2S2 cluster in aqueous solution.
- The aqueous Fe2S2 cluster exhibits distinct structural and dynamic properties compared to its gas-phase counterpart.
- This study highlights the importance of including solvation effects for accurate modeling of iron-sulfur clusters.
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