作者: Thomas D. Sewell , Kim Ø. Rasmussen , Dmitry Bedrov , Grant D. Smith , Russell B. Thompson
DOI: 10.1063/1.2776261
关键词: Polymer blend 、 Flory–Huggins solution theory 、 Materials science 、 Particle 、 Molecular dynamics 、 Monte Carlo method 、 Polymer 、 Statistical physics 、 Work (thermodynamics) 、 Field theory (psychology)
摘要: A bidirectional mapping scheme that bridges particle-based and field-based descriptions for polymers is presented. Initial application made to immiscible homopolymer blends. The forward (upscaling) approach based on the use of molecular dynamics simulations calculate interfacial density profiles polymer weights can be readily relaxed using standard simulation methods. These are used determine optimal, effective interaction parameter appears in one-parameter self-consistent field theory treatment employed present work. Reverse from a representation description accomplished by density-biased Monte Carlo method generates representative chain configurations blend statistical derived fields obtained theory.