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Siloxane Molecules: Nonlinear Elastic Behavior and Fracture Characteristics.
Tianchi Li1, Eric R Dufresne1, Martin Kröger2,3
1Soft and Living Materials, Department of Materials, ETH Zurich, CH-8093 Zurich, Switzerland.
Computational modeling of soft material fracture is challenging. This study uses molecular dynamics to predict siloxane molecule fracture, revealing non-classical scaling and mechanisms for polydimethylsiloxane networks.
Area of Science:
- Soft matter physics
- Materials science
- Computational chemistry
Background:
- Fracture in soft materials presents multiscale challenges for computational modeling and predictive design.
- Accurate molecular-level representation is crucial for bridging length and time scales from molecular to continuum models.
Purpose of the Study:
- To derive the nonlinear elastic response and fracture characteristics of individual siloxane molecules.
- To establish a quantitative link between molecular behavior and macroscopic material properties.
- To develop a generalizable method for extending molecular dynamics simulations of fracture.
Main Methods:
- Molecular dynamics (MD) simulations were employed to study individual siloxane molecules.
- A simple model of a nonuniform chain of Kuhn segments was developed to capture observed effects.
- Mean first passage time theory was utilized to extend the accessible rupture times in MD studies.
Main Results:
- Deviations from classical scalings were observed for effective stiffness and mean chain rupture times in short siloxane chains.
- A Kuhn segment model accurately reproduced the MD data for chain behavior.
- The dominant fracture mechanism exhibited a nonmonotonic dependence on the applied force scale.
Conclusions:
- Polydimethylsiloxane (PDMS) networks likely fail at cross-linking points.
- The derived molecular insights can be integrated into coarse-grained models.
- The presented methodology offers a general approach to overcome limitations in MD simulation timescales for fracture studies.
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