CHE210D: Principles of modern molecular simulation methods
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Gallery of final projects
Students in the course designed and performed simulations of coarse-grained models for a variety of systems of interest to them. As a part of their projects, students developed movies of simulation trajectories to visualize their results. The titles below are links to the report for each project, and a link is also provided to the source code.


Spring 2012
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Diffusion in Solutions of Lennard-Jones Polymers and Solvent
Brian Stahl
source code

Polymer solutions are presently used in many important industrial applications, including coatings, commodity materials, microelectronics, pharmaceuticals and medical devices, in addition to a plethora of research applications. In these applications the transport properties of the polymer and solvent are of great importance. The goal of this work was to use constant-NVE molecular dynamics simulation to investigate the diffusion properties of a simplified polymer-solvent system composed of linear Lennard- Jones polymer molecules and solvent molecules over a range of molecular sizes and polymer concentrations. The results suggest that in this system polymer diffusivity decreases linearly with increasing polymer concentration for a range of polymer lengths. Additionally, polymer diffusivity obeys a power law relationship with polymer length however the strength of the power law relationship increases with increasing polymer concentration. Solvent diffusivity appears to decrease linearly with increasing polymer concentration and displays a weak power law relationship with polymer length, although this power law relationship becomes more apparent at high polymer concentrations.





Low-Friction Surfaces Achieved Through Polymer Brush Layers
Edward Toumayan
source code

Polymers that are end-grafted to a substrate, as known as a polymer brushes, are commonly used to modify surface properties. Polymer brush systems have many practical applications including as a way to create low-friction surfaces. This remarkable property can be observed using simple coarse-graining models in computational efforts. Molecular dynamics simulations of a polymer brush system were conducted and the friction coefficient was subsequently calculated. The movie shows two surfaces functionalized with polymer brushes that are brought in contact before a shear velocity is applied to the upper wall.





Evaluation of a Coarse-grained Model of DNA using Molecular Dynamics Simulations
Michael Zakrewsky
source code

Availability of experimental data now provides a basis for developing computer models to investigate mechanical events in biological systems. Herein, a coarse-grained model that attempts to remove all unnecessary degrees of freedom, while accurately predicting the entropic elasticity of DNA is presented. The model was evaluated with molecular dynamics simulations of super-coiled DNA uncoiling. In particular, the relative end-to-end extension (z/L) as a function of applied force was calculated. Comparison of model predictions with experimental data suggests that the coarse-graining employed represents a starting point for developing more useful models, in that relative DNA extension was accurately predicted for the low force limit while at higher forces the model failed.





Oscillatory Molecular Dynamics Simulation to extract Dilatational Rheological properties of a Lennard-Jones Fluid
Zachary Zell
source code

A Molecular Dynamics simulation is developed to measure the dilatational (compression) rheological properties of a fluid and is demonstrated with the Lennard-Jones 12-6 atomic fluid. Small amplitude, oscillatory volume changes imposed on the fluid result in anoscillatory pressure response, from which the complex dilatational modulus is computed. A frequency sweep at low strain amplitude shows that the LJ fluid is elastic dominant with an elastic compression modulus that compares well to the values obtained from equilibrium pressure-density isotherms, computed here and in literature.



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Department of Chemical Engineering  |  University of California Santa Barbara