With this method at hand, we tested if not only individual kp can be predicted, but also activation parameters. To this end, we calculated kp for 25, 50, 75 and 100 °C based on reported activation energies and frequency factors. As for the 25 °C data in Figure , similarly reasonable fits were obtained. For each individual monomer the predicted kp values at the four temperatures were fitted to the Arrhenius equation, yielding a predicted Arrhenius factor A and a predicted activation energy EA. Using the same representation as for kp, it can be shown (Figure and) that also the activation parameters are well predicted by our model. Specifically, Ea is represented very well, while ln(A) shows some more scatter. This scatter is a result of the sensitivity of A on small variations in Ea and correlates with the typically also higher scatter of experimental data for this value. It should be noted that it is in principle also possible to directly correlate Ea and A instead of kp at a distinct temperature. However, this would require a simultaneous regression of both parameters, since A and Ea are highly interdependent. If fitted individually for Ea, a reasonable direct correlation is found, yet not for A. The approach to determine both values via individual kp's is hence more successful and reliable. Figure and 4b depict the activation parameter correlation.