Table 4 The values of the activation energy, \(E_a\), and the maximum value of the lithium self-diffusion coefficient, \(D_0\), for the three simulated systems and for each ReaxFF used. The errors were estimated based on the inference for the linear regression model coefficients (least squares method), and assuming a \({95}\,\%\) confidence interval.

From: Enhancing ReaxFF for molecular dynamics simulations of lithium-ion batteries: an interactive reparameterization protocol

 

ReaxFF

\(\textbf{D}_\textbf{0}\) \([\hbox {cm}^{2}/\hbox {s}]\)

\(\textbf{E}_\textbf{a}\) \([\hbox {kJ}\,\hbox {mol}^{-1}]\)

\(\textrm{LiF}\)

Yun et al.

\((7.23 \pm 0.05) \times 10^{-4}\)

\(7.50 \pm 0.02\)

Wang et al.

\((7.2 \pm 0.5) \times 10^{-4}\)

\(7.0 \pm 0.2\)

This work

\((3 \pm 2) \times 10^{-6}\)

\(11.0 \pm 1.6\)

\(\textrm{Li}_{0.9}\textrm{F}\)

Yun et al.

\((6.1 \pm 0.3) \times 10^{-4}\)

\(7.1 \pm 1.4\)

Wang et al.

\((5.5 \pm 0.2) \times 10^{-4}\)

\(6.810 \pm 0.013\)

This work

\((9.0 \pm 1.7) \times 10^{-7}\)

\(5.1 \pm 0.5\)

\(\textrm{Li}_{1.1}\textrm{F}\)

Yun et al.

\((1.5 \pm 0.3) \times 10^{-5}\)

\(7.6 \pm 0.5\)

Wang et al.

\((8.2 \pm 1.3) \times 10^{-6}\)

\(6.22 \pm 0.04\)

This work

\((4.0 \pm 1.2) \times 10^{-7}\)

\(6.0 \pm 0.8\)