These smaller model systems were further used to perform a so-called g3 analysis in an analogous way as recently performed for lipid bilayers. Herein, intra-residue radial-angular three-particle distributions of each monomer of all systems were analyzed to create heatmaps. Similarities of these were summed into a single matrix which was subsequently reduced to 2D data via unsupervised machine learning methods (t-SNE, DBScan, PCA). This procedure was performed in order to detect additional potential differences in monomer conformations (Figure ). In order to compare all polymers analogously, we analyzed the distributions for four atoms found in every monomer type: the amide nitrogen and oxygen, as well as the first sidechain carbon atom and the second backbone carbon atom of the respective residue (Figure , top right). Due to much shorter residues in comparison to e.g. lipids and the limited selection of atoms, the resulting heatmaps showed only a few hotspots (Figure , as well as S11 and S12). 3 clusters were found by the dimensionality reduction algorithm, whereas the biggest cluster 3 contains almost all pOx monomers (Figure ). In contrast, pPrOzi monomers are nearly equally divided into clusters 1 and 2. While heatmaps of clusters 2 and 3 are very similar, cluster 1 contains mostly pPrOzi monomers with distinctly different conformations according to the distances along PC1 in the PCA. Visual inspection of exemplary monomers reveals that these are more likely to contain trans arrangements of the monomer alkyl sidechain with respect to the backbone of the respective residue (Figure ). In contrast, pOx monomers make up only about 20 % of this cluster (Figure ). Based on these findings, dihedral angles in the larger micelle systems were further investigated (Figure ). Interestingly, pBuOx shows a strongly increased ratio between cis and trans oriented alkyl sidechains (1:1) for repeat units found near CUR. In contrast, this ratio stays constant (mostly trans)