Bibliographic Details
| Title: |
Deposition products predicted from conceptual DFT: The hydrolysis reactions of MoF6, WF6, and UF6. |
| Authors: |
Lutz, Jesse J.1 (AUTHOR) jjlutz@sandia.gov, Jensen, Daniel S.1 (AUTHOR), Hubbard, Joshua A.1 (AUTHOR) |
| Source: |
Journal of Chemical Physics. 11/14/2023, Vol. 159 Issue 18, p1-17. 17p. |
| Subject Terms: |
*CHEMICAL processes, *GAS phase reactions, *HYDROLYSIS, *STERIC hindrance, *TRIOXIDES, *DISCONTINUOUS precipitation |
| Abstract: |
Metal hexafluorides hydrolyze at ambient temperature to deposit compounds having fluorine-to-oxygen ratios that depend upon the identity of the metal. Uranium-hexafluoride hydrolysis, for example, deposits uranyl fluoride (UO2F2), whereas molybdenum hexafluoride (MoF6) and tungsten hexafluoride deposit trioxides. Here, we pursue general strategies enabling the prediction of depositing compounds resulting from multi-step gas-phase reactions. To compare among the three metal-hexafluoride hydrolyses, we first investigate the mechanism of MoF6 hydrolysis using hybrid density functional theory (DFT). Intermediates are then validated by performing anharmonic vibrational simulations and comparing with infrared spectra [McNamara et al., Phys. Chem. Chem. Phys. 25, 2990 (2023)]. Conceptual DFT, which is leveraged here to quantitatively evaluate site-specific electrophilicity and nucleophilicity metrics, is found to reliably predict qualitative deposition propensities for each intermediate. In addition to the nucleophilic potential of the oxygen ligands, several other contributing characteristics are discussed, including amphoterism, polyvalency, fluxionality, steric hindrance, dipolar strength, and solubility. To investigate the structure and composition of pre-nucleation clusters, an automated workflow is presented for the simulation of particle growth. The workflow entails a conformer search at the density functional tight-binding level, structural refinement at the hybrid DFT level, and computation of a composite free-energy profile. Such profiles can be used to estimate particle nucleation kinetics. Droplet formation is also considered, which helps to rationalize the different UO2F2 particle morphologies observed under varying levels of humidity. Development of predictive methods for simulating physical and chemical deposition processes is important for the advancement of material manufacturing involving coatings and thin films. [ABSTRACT FROM AUTHOR] |
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