The widespread use of synthetic polymers in high-performance applications-including automotive systems, 1 construction, 2 electronics, garments, medicine, and packaging -necessitates the development of thermally stable, degradation-resistant polymers. However, current methods for assessing polymer thermal stability rely on experimental testing, which is costly and conducted late in the development cycle, making modifications inefficient and expensive due to the additional costs of redesigning or reformulating polymers at this stage. An ideal approach would involve using computational models or surrogate measures that can accurately predict thermal stability early in the design process. Such tools would enable researchers and engineers to screen and optimize polymer candidates before investing in expensive synthesis and testing.