Finally, fits to Gaussian peaks were used to generate sampling distributions and prove to be more accurate than the Fourier analysis used in ETKDG, likely due to the presence of such subpopulations. Further refinement of torsion patterns will be useful, as well as analysis of correlated torsional preferences for both acyclic and ring torsions. This work has demonstrated the ability of CREST/GFN2 to provide accurate and reliable torsional preferences that could provide a basis for a quantum-torsion distance geometry (QTDG) method. Such a method could provide an alternative to ETKDG that does not rely on experimental crystal structure elucidation, as well as a method designed particularly for conformer sampling for gas-phase applications rather than targeting crystal structure or bound ligand geometries that include intermolecular interactions. Finally, QTDG could be used as part of the automated refinement of torsion patterns, 5 since additional conformer sampling can be performed to refine patterns with sparse representation in experimental databases, including charged, novel, or hard-to-crystallize species. Future work can also compare with geometric information from gas-phase spectroscopy.