ArticleScience advances2024
Predicting compatibilized polymer blend toughness.
Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Additive-Free Compatibilization of Commodity Polypropylene/Polyethylene via Partial Melting and Recrystallization.JACS Au · 2026Article
- Compatibilization of Low Molecular Weight Polypropylene in High Molecular Weight Matrix Via Solvent Swelling.ACS macro letters · 2026Article
- Formulation Optimization of Sinomenine-Loaded Nanostructured Lipid Carriers Based on Molecular Dynamics Simulations and Evaluation of Pharmacological Efficacy in Rheumatoid Arthritis.International journal of molecular sciences · 2025Article
- Understanding Viscoelasticity of an Entangled Silicone Copolymer via Coarse-Grained Molecular Dynamics Simulations.Macromolecules · 2025Article
- Enhancement of Fracture Toughness of Inner Liner Material for Type IV Hydrogen Storage Cylinders Based on Molecular Dynamics Method.Materials (Basel, Switzerland) · 2025Article
- Enhancing Mechanical and Thermal Performance of Recycled PA6/PP Blends: Chain Extension and Carbon Fiber Reinforcement Synergy.Materials (Basel, Switzerland) · 2025Article
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Authors and funding
2 authors.
Funding
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Abstract
Polymer blends can yield superior materials by merging the unique properties of their components. However, these mixtures often phase separate, leading to brittleness. While compatibilizers can toughen these blends, their vast design space makes optimization difficult. Here, we develop a model to predict the toughness of compatibilized glassy polymer mixtures. This theory reveals that compatibilizers increase blend toughness by creating molecular bridges that stitch the interface together. We validate this theory by directly comparing its predictions to extensive molecular dynamics simulations in which we vary polymer incompatibility, chain stiffness, compatibilizer areal density, and blockiness of copolymer compatibilizers. We then parameterize the model using self-consistent field theory and confirm its ability to make predictions for practical applications through comparison with simulations and experiments. These results suggest that the theory can optimize compatibilizer design for industrial glassy polymer blends in silico while providing microscopic insight, allowing for the development of next-generation mixtures.
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Registered trials
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