Litcius/Paper detail

Understanding ceiling temperature as a predictive design parameter for circular polymers

Xiaoyang Liu, Shivani Kozarekar, Alexander Shaw, Tie-Qi Xu, Eugene Y.‐X. Chen, Linda J. Broadbelt

2024Cell Reports Physical Science24 citationsDOIOpen Access PDF

Abstract

The rise of polymeric materials marks a notable achievement of the past century, yet challenges in recycling have led to their accumulation in various environments. Efforts to address this include advancements in mechanical recycling, degradation processes, and chemical recycling techniques, particularly chemical recycling to monomer, which offers a path toward a circular economy for plastics. In this perspective, we discuss how ceiling temperature ( T c ) can be used as a design parameter for circular (closed-loop recyclable) polymers and provide an overview of typical experimental approaches for deriving T c , focusing on Δ H p and Δ S p as the key parameters for prediction. The concept of T c is heavily embedded in the polymer literature and provides a simple but still useful way of quickly ranking different polymers in terms of their relative thermodynamic stability of polymer versus monomer states. While T c in the bulk state as an intrinsic value is a desirable quantity, it is infeasible in many cases to measure equilibrium states in the bulk; thus, many researchers have focused on investigating T c in solution, where there may be dependencies of T c on the solvent, concentration, or other factors, resulting in a family of apparent T c values at each set of conditions. We thus explore computational studies as a complement to experimental measurements of T c . To this end, we focus here on the advantages, obstacles, and outlook of the establishment of predictive computational approaches to calculate key thermodynamic parameters related to polymer circularity, namely Δ H p , Δ S p , Δ G p , and T c values.

Topics & Concepts

PolymerRanking (information retrieval)Ceiling (cloud)MonomerComputer scienceStability (learning theory)Materials scienceThermodynamicsBiochemical engineeringMechanical engineeringPhysicsEngineeringComposite materialArtificial intelligenceStructural engineeringMachine learningPolymer crystallization and propertiesChemistry and Chemical EngineeringAdvanced Polymer Synthesis and Characterization