Bound Rubber as a Transferable Structural Descriptor: Connecting MD-Derived Interfacial Scaling to Continuum Reinforcement Models
Filled elastomers often exhibit a low-frequency power-law storage modulus (G-prime), yet quantitative links between molecular interfacial structure and macroscopic reinforcement remain unresolved. This gap is addressed using a hierarchical multiscale framework that integrates coarse-grained molecular dynamics (MD) and dynamic mechanical analysis (DMA). Overall, MD contributes transferable structural descriptors rather than direct macro-rheology prediction. MD simulations yield a bound-layer scaling relation for chain length N=50 in coarse-grained simulations serving as a structural probe. For EPDM master curves, the single-phase fractional Maxwell model is statistically preferred (Delta AICc > 147, n = 56), reflecting limited statistical power; larger datasets (e.g., PC/ABS, n = 952) favor the dual-phase formulation. For cross-scale prediction, an MD-derived effective-volume-fraction baseline (MAPE = 54.1%) provides a structural prior; the regime-partitioned bridge model absorbs relaxation physics not resolved at the MD scale, reducing error to 7.3% (blocked-CV MAPE = 9.5%, with a 2.3% fold-to-fold spread). Linear-viscoelastic constraints improve nonlinear PTT calibration, reducing die-swell error by 87%.
Authors
- Wenzhong Deng
- Dianming Chu
- Ranran Jian (ORCID: https://orcid.org/0000-0001-8447-3785)
- Yancai Sun
- Wenjuan Bai (ORCID: https://orcid.org/0009-0006-1621-5438)
- Haoran Wang
- Yan He
- Peiwu Hou
Institutions
- Qingdao University (CN)
- Qingdao University of Science and Technology (CN)
- Guilin University of Aerospace Technology (CN)
- Guilin University of Technology (CN)
- Marine Biology Institute of Shandong Province (CN)
- China National Chemical Engineering (China) (CN)
Publication Details
- Journal
- Polymers
- Published
- 2026-02-26
- DOI
- https://doi.org/10.3390/polym18050565
- Primary Topic
- Block Copolymer Self-Assembly
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Guangxi Province