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- W4281564254 abstract "Autodissociation in liquid water is one of the most important processes in various topics of physical chemistry, such as acid-base chemistry. Molecular simulations have elucidated most of the molecular mechanisms at the atomic level, yet quantitative analysis to compare with experiments using the potential of mean force (PMF) remains a hurdle, including the definition of reaction coordinates and accuracy of liquid structures by ab initio molecular dynamics (AIMD) simulations with density functional theory (DFT) methods. Here, we perform AIMD simulations with the revPBE-D3 exchange-correlation functional to compute the PMF profiles of autoionization, or proton transfer (PT), in liquid water. For the quantitative analysis with physically meaningful reaction coordinates, we employ a PT coordinate, donor-acceptor (OH--H3O+) distance, and hydrogen (H)-bond number. The one-dimensional (1D) PMF profile along the PT coordinate shows no local minimum in the product state of PT (OH- and H3O+), which is necessary to accurately compute acid dissociation constant (or pKa). On the other hand, the 2D PMF profiles along the PT coordinate and donor-acceptor distance show local minima in the product state and reaction barriers, and the computed pKw is comparable to the experiment. In addition, the 2D PMF profiles along the PT coordinate and the H-bond number reveal the molecular mechanism of the H-bond rearrangement concomitant with PT, in which the H-bond breaking before PT is slightly preferable. These findings indicate that accurate evaluation of pKa by MD simulations requires the donor-acceptor distance in addition to the conventional PT coordinate." @default.
- W4281564254 created "2022-05-27" @default.
- W4281564254 creator A5059468085 @default.
- W4281564254 date "2022-05-26" @default.
- W4281564254 modified "2023-09-27" @default.
- W4281564254 title "Molecular Mechanism of Autodissociation in Liquid Water: Density Functional Theory Molecular Dynamics Simulations" @default.
- W4281564254 doi "https://doi.org/10.26434/chemrxiv-2022-9t6vf-v2" @default.
- W4281564254 hasPublicationYear "2022" @default.
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