Topology-Controlled Polyethers: A Synthetic Platform for Tunable Properties and Applications

Abstract

Topology control in polymer chemistry enables precise tuning of physical properties and molecular interactions which exert a significant impact on the performance of the resulting polymeric materials. Indeed, polymers comprising identical monomers can exhibit entirely distinct properties due to differences in their topologies. Polyethers, particularly poly(ethylene oxide) and derivatives of functional epoxide monomers, serve as a representative example in which the polymer backbone engages in direct interactions, such as hydrogen bonding or ion coordination, thereby maximizing the topological impact on the resulting polymer properties. Despite their significance, studies on the topology control of polyethers have largely remained fragmented. Achieving precise control requires a range of synthetic approaches, including the careful selection of monomers and catalysts designed to guide specific polymer topology. Furthermore, the in-depth characterization of the resulting polymers utilizing tools such as quantitative 13C NMR spectroscopy, MALDI-TOF mass spectrometry, and size exclusion chromatography is essential and provides detailed information on topological structure. These analyses reveal the relationships between polymer topology and diverse physical properties such as diffusion, hydrodynamic volume or chain dynamics. Applying these insights to the design of new materials, particularly in areas where conventional polyethers are limited, remains a promising but insufficiently explored direction. Comprehensive research that connects synthesis, structural analysis, and application design requires broad scientific expertise, which may explain the scarcity of fully integrated studies in this field. In this Account, we aim to provide a comprehensive overview of recent advances in the synthesis, characterization, and application of topology-controlled polyethers, namely, linear, hyperbranched, and branched cyclic architectures. By developing scalable, metal-free catalytic systems based on frustrated Lewis pairs and anionic ring-opening polymerization strategies, we established a versatile platform to access polyglycerols with well-defined topologies in comparable molecular weights. Structural and spectroscopic analyses revealed pronounced topology-dependent variations in thermal transitions, segmental diffusion, and mechanical strength. These architectural differences resulted in distinct functional outcomes across various applications, including antifouling coatings, self-healing materials, high-performance adhesives, and cryoprotectants. Notably, branched cyclic polyglycerols demonstrated superior mechanical resilience, rapid stress relaxation, and enhanced hydrogen bonding in networked systems, while dendritic structures exhibited exceptional antifreeze activity under ionic conditions. These findings highlight the fundamental role of polymer topology in governing inter- and intramolecular interactions, enabling the rational design of responsive and multifunctional polyether-based materials. The integration of precise synthetic strategies with data-driven approaches is advancing topological design in polymer science. Tools such as deep learning enable predictive links between molecular architecture and material properties, allowing access to complex structures. This convergence is anticipated to accelerate the development of functional polymers tailored for applications in biomedicine, energy, soft matter, and sustainable technologies.