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JoVE Journal Engineering
Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization
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Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Article DOI: 10.3791/51372 • 08:03 min • November 12th, 2014
November 12th, 2014 •
1, 1, 2, 1
1Materials Science and Engineering, School of Engineering, University of California Merced, 2Computer Science and Engineering, School of Engineering, University of California Merced

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Summary
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Accurate modeling of nanohelical structures is important for predictive simulation studies leading to novel nanotechnology applications.  Currently, software packages and codes are limited in creating atomistic helical models.  We present two procedures designed to create atomistic nanohelical models for simulations, and a graphical interface to enhance research through visualization.

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Nanohelices Predictive Studies Enhanced 3D Visualization Spring-like Materials Nanotechnology Energy Harvesting Hydrogen Storage Biological Sensing Applications Structure Modeling Atomistic Helical Models Silica Glass Nanoribbons Nanosprings Molecular Dynamics (MD) Simulations Computational Procedures AWK Programming Language Open-source Software Parametric Equations Atomistic Silica Nanoribbons Pitch Values Dimensions C++ Code
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