Knowledge-based approaches to modeling proteins and biosimilar molecules, such as Rosetta, have benefited greatly from a wealth of experimental crystal structure data available in the PDB databank and elsewhere. The scarcity of experimental data of any kind for non-biological foldamers, in contrast, has hindered the development of new chemically specific non-biological foldamer models. Reasons for this lack of data include the generally tedious nature of synthesizing sequence-defined hetero-oligomers, and that techniques for characterizing the sequences of non-biological hetero-oligomers lag behind those from biological hetero-oligomers (proteomics, genomics, etc.). Many biologically important foldamers, as a key part of their function, are also marginally stable. Achieving the correct balance between entropy and enthalpy is frequently beyond the limits of accuracy for classical atomistic force fields, requiring careful refinement of force field parameters and/or the consideration of more complex energetic terms such as atomic polarizabilities. Thus, rather than using bottom-up approaches based on quantum level simulations to develop an accurate atomistic force field for a specific foldamer system, we take a different approach, choosing to develop a coarse-grained simulation framework for studying non-chemically specific behaviors of categories of foldamers.