Waiting
Elaborazione accesso...

Trial ends in Request Full Access Tell Your Colleague About Jove
Journal / Engineering / Scalable Nanohelices for Predictive Studies and…
JoVE Journal
Engineering

È necessario avere un abbonamento a JoVE per visualizzare questo Contenuto. Accedi o inizia la tua prova gratuita.

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

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Article DOI: 10.3791/51372-v • 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

Capitoli

Riepilogo
Automatic Translation

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.

Tags

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
Read Article

Get cutting-edge science videos from JoVE sent straight to your inbox every month.

Waiting X
Simple Hit Counter