The results also show that our method can accurately reproduce the observed rate constants of the reactions that are influenced by diffusion limits. It is likely that the diffusion rate only affects the degree of the curvature of the log 10 𝑘 vs 1000∕𝑇 plot and does not dramatically change the general temperature dependence for the reaction. Since our proposed functional form is able to fit to different shapes of curves, it is likely that it can also fit to the observed rate constants of the diffusion-controlled reactions. To further validate our reasoning, we additionally fitted our functional form to both 𝑘 liq, expt and 𝑘 obs, expt data for Reactions 1 and 2, which had both types of data available. The results are presented in Figure . It can be seen that our method can correctly describe the temperature dependence of both intrinsic and observed rate constants. As we expected, the two types of data differ only in the degree of curvature, and their temperature trends are generally similar. Due to a lack of data, we are unable to perform the same analysis for other reactions. Nonetheless, since our method shows good agreements with the experimental data for both the reactions with and without diffusion effects as indicated by Figure , we anticipate the results to be similar for other reactions. The fitted empirical parameters of each reaction are provided in Table . The parameters have reasonable values for all reactions as they were fitted using a constrained optimization method to obtain physically feasible solutions. The magnitudes of the fitted 𝐴 and 𝐸 𝑎 values are found to be similar between our functional form and the Arrhenius equation. As mentioned earlier, our method assumes that the 𝐴 and 𝐸 𝑎 terms are relevant to the gas phase contributions while ΔΔ𝐺 ‡ solv (298 K) and ΔΔ𝐻 ‡ solv (298 K) account for the solvation effects. However, the optimized parameters are not guaranteed to correspond to the true values as they can have multiple solutions. Different initial guesses and constraints can yield different solutions, and it is difficult to determine which solution is closer to the true values.