Interface/Interphase in Polymer Nanocomposites 2016
DOI: 10.1002/9781119185093.ch11
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Perspectives on the Use of Molecular Dynamics Simulations to Characterize Filler‐Matrix Adhesion and Nanocomposite Mechanical Properties

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Cited by 2 publications
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“…The coarse graining is done at the monomer level following the bead-spring polymer model, as shown in Figure S4a,b. Modeling microscale fibers such as CNFs, carbon fibers, and so on with a stiff rod, that is, beads connected by stiff bonds, is very common in Kremer-Grest bead-spring models and has been in the field for a long time. In MD simulations, chain lengths can influence the self-assembly process. Similarly, salt concentration can also influence the self-assembly processes.…”
Section: Methodsmentioning
confidence: 99%
“…The coarse graining is done at the monomer level following the bead-spring polymer model, as shown in Figure S4a,b. Modeling microscale fibers such as CNFs, carbon fibers, and so on with a stiff rod, that is, beads connected by stiff bonds, is very common in Kremer-Grest bead-spring models and has been in the field for a long time. In MD simulations, chain lengths can influence the self-assembly process. Similarly, salt concentration can also influence the self-assembly processes.…”
Section: Methodsmentioning
confidence: 99%
“…In tandem with experimental characterization, molecular dynamics (MD) simulations using a reactive force field and density functional theory (DFT) calculations provided molecular-level characteristics of PLA degradation that may have impacted its properties and performance when used over time as a medical device in the body or in green chemistry and engineering applications, including end-of-life total resorption. MD simulations numerically solve Newton's equations of motion (F = ma; where m is the mass of particle and a is the acceleration attributed to the displacement) for all (atomic) particles in the system to predict equilibrium and dynamic properties of complex molecular-level systems that cannot be calculated or observed analytically [14][15][16] Classical MD simulations typically use force fields to represent the intermolecular and intramolecular interactions among the atoms within the system, and use thermodynamic ensembles, such as the grand canonical, for statistical control [17,18]. DFT calculations quantify quantum level interactions and reactivity, and are based on following the Hohenberg-Kohn theorem, where the total energy of the system is given as a function of the electron density [19,20].…”
Section: Introductionmentioning
confidence: 99%