Compared to many other organic hole transport materials, the conformational disorder of PEDOT oligomers -despite their flexibility -is low, partially explaining the good hole transport properties of PEDOT:PSS(:sorbitol) films. Machine learning based analysis of dynamic and static disorder. Energy disorder is known to strongly influence the charge carrier mobility of organic semiconductors as wider distribution of energy levels is trapping charge carriers in its tail states. However, the conformational energy disorder discussed in the last section has two contributions: dynamic disorder and static disorder, and only the latter is considered to influence the charge carrier mobility. The calculation of dynamic disorder is a computationally expensive task, as it requires the computation of energy levels over large time-scales to observe molecule and conformation specific site energy fluctuations. This typically necessitates a quantum mechanical analysis of MD trajectories over multiple time frames. In our case, the analysis of 32 morphologies with 64 PEDOT oligomers each over e.g. 500 time frames would sum up to 1,024,000 DFT single point calculations which is computationally barely feasible.