Journal
ACS APPLIED POLYMER MATERIALS
Volume 3, Issue 5, Pages 2576-2587Publisher
AMER CHEMICAL SOC
DOI: 10.1021/acsapm.1c00197
Keywords
polymer nanocomposites; surface modification; atomistic simulations; grafting density; polymer conformations; interfacial dynamics
Funding
- Goodyear Tire and Rubber Company
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Surface modification with silane effectively modulates chain conformations near the silica surface, showing that silane presence weakens the dynamic slowing down at the interface, with the grafting density and agent chain length playing key roles.
Surface modification is an effective way to improve the dispersion of nanofillers in a polymer matrix and tune the interfacial interactions that determine macroscopic properties in polymer nanocomposites. In this work, we present a detailed investigation of silane modification effects on polymer interfacial conformation and dynamic properties through atomistic molecular dynamics simulations, using cis-1,4 polyisoprene (the major component of natural rubber) and amorphous silica substrate as a model system. Industrially relevant modified substrates are constructed with alkylsilane agents grafted at different surface densities. Contrasting systems with the modified substrates to the bare substrate case, we show that silane grafting effectively modulates chain conformations near the silica surface in terms of train, loop, and tail configurations, highlighting the separate effects of silane grafting density and agent chain length. We examine the variation of polymer dynamics in desorption, relaxation, and diffusion, which demonstrates the weakening of dynamic slowing down at the interface due to the silane presence and further exposes the dominant effects of surface train segments on the dynamic properties. Our results offer microscopic information on interfacial behavior while identifying key factors for tailoring interfacial dynamics. These findings provide useful insight into the reinforcement mechanism and serve as a first step toward the rational design of rubber composite materials via chemically detailed computational modeling.
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