As shown by the small success rate reported above, there are a number of profits and consequences to using this method. Even through its simplicity, it predicts the strong temperature dependence typical to internal conversion , and also predicts the relationship between E mn and W (m → n). However, the Arrhenius method is entirely semi-empirical, and therefore one cannot reliably predict unknown systems without some experimental input. In particular, the use of this method requires an analysis of the transition state to yield an appropriate value for E A . Secondly, assuming you can obtain an appropriate value for A IC from fitting functions, Equation 29 then becomes entirely dependent on E A , and omits all other photophysical qualities. This way, important interactions like strong vibronic coupling due to overpowering normal modes, level inversion effects, or solvent stabilisation effects, may not be captured correctly. However, this method could be used as a powerful predictive tool to analyse molecular devivatives of a species of interest, particularly in the space of machine learning , assuming the descriptors were sufficient enough to overcome the discussed limitations.