Abstract
The conformational variability of π-conjugated molecules or polymers, defined by the capacity for rotation among the connected ring moieties that comprise the structure, directly impacts properties of organic semiconductors ranging from material processability to the electronic, redox, optical, and mechanical characteristics. Thus, the shapes of the potential energy surfaces and corresponding energy barriers of inter-ring rotations as a function of the system chemistry serve as critical parameters for both molecular/polymer and material design. Here, we systematically examine the effects of various ring chemistries, ortho-positioned substituents, and oligomer length on the rotation of two rings in the center of the system. Two primary factors, as one might expect, dictate the potential energy surface (PES) for rotation: the degree of π-electron delocalization across the dihedral bond and the noncovalent interactions among ortho-substituted atoms and/or groups. Each factor can stabilize or destabilize fully planar conformations. Notably, the oligomer chain length has a little-to-no discernible impact on the rotation energetics in systems with more than six rings. We identify four distinct shapes for PES of rotation that relate to chemical composition, which enable us to develop classification models to classify a system’s dihedral potential energy surface from a two-dimensional structure. We then combine these classification models and previously reported analytical methods to quickly predict polymer chain dimensions from a monomer structure. The insights derived here are expected to help direct and accelerate the in silico design of new molecular and polymer classes with the desired optoelectronic properties and ease of processing.
| Original language | English |
|---|---|
| Pages (from-to) | 5259-5267 |
| Number of pages | 9 |
| Journal | Macromolecules |
| Volume | 56 |
| Issue number | 14 |
| DOIs | |
| State | Published - Jul 25 2023 |
Bibliographical note
Publisher Copyright:© 2023 American Chemical Society.
Funding
This work was funded in part by the Office of Naval Research (Award No. N00014-22-1-2179 and N00014-18-1-2448) and the National Science Foundation under Cooperative Agreement No. 1849213. The authors also acknowledge the Center for Integrated Nanotechnologies (CINT), Department of Energy Office of Science Nanoscale Science Research Center (NSRC) (Award No. 2022AU0048) for supporting this collaborative effort. Supercomputing resources were provided by the University of Kentucky Information Technology Department and Center for Computational Sciences (CCS).
| Funders | Funder number |
|---|---|
| Department of Energy Office of Science Nanoscale Science Research Center | |
| University of Kentucky Information Technology Department and Center for Computational Sciences | |
| National Science Foundation Arctic Social Science Program | 1849213 |
| National Science Foundation Arctic Social Science Program | |
| Office of Naval Research Naval Academy | N00014-22-1-2179, N00014-18-1-2448 |
| Office of Naval Research Naval Academy | |
| Northeastern States Research Cooperative | 2022AU0048 |
| Northeastern States Research Cooperative | |
| Center for Integrated Nanotechnologies |
ASJC Scopus subject areas
- Organic Chemistry
- Polymers and Plastics
- Inorganic Chemistry
- Materials Chemistry