2026/07/25 by Tadanori Koga, Michihiro Nagao, Lutz Wiegart +2
paper · doi:10.1021/acs.macromol.6c00919
Abstract The incorporation of nanoparticles (NPs) into polymers is one of the most effective strategies for reinforcing polymeric materials. The impact of NP reinforcement is exemplified by automobile tires, where it enhances a broad range of performance metrics, including fracture toughness, wear resistance, wet traction, rolling resistance, and fatigue durability. Reinforcement arises from the coupled evolution of hierarchical structures and hierarchical dynamics of polymers and NPs across multiple length and time scales. A comprehensive understanding of reinforcement mechanisms remains elusive. The advancement of PNCs depends on fundamental research investigating the hierarchical structures and dynamics of polymers and NPs by employing integrated measurements, analysis, and predictions. In this Perspective, the emphasis is placed on elucidating the hierarchical dynamics of PNCs at the nano-to-mesoscale through the integration of neutron spin echo (NSE) and X-ray photon correlation spectroscopy (XPCS). We highlight recent advances in understanding the hierarchical dynamics of bound polymer, nanoparticle networks, and cross-linked polymer networks. NSE combined with isotope labeling provides unique access to the segmental and chain dynamics─including entanglement dynamics─of labeled polymer chains across length scales from subnanometers to tens of nanometers and time scales from picoseconds to several hundred nanoseconds. In contrast, XPCS provides unique access to the collective dynamics of hierarchical structures of NPs in a polymer matrix over relevant time scales (submilliseconds to 1000s of seconds) and length scales (nanometers to hundreds of nanometers). Furthermore, recent advancements in in operando XPCS have enabled the investigation of the nonequilibrium evolution of structures and dynamics in PNCs under industrially relevant processing conditions. Together with complementary computational and experimental approaches, these advanced neutron and X-ray scattering techniques establish quantitative hierarchical structure–dynamics–property relationships that provide a molecular foundation for the rational design of next-generation PNCs.