Build atomistic structures of carbon nanotubes with the possibility to add functional groups (OH, COOH, COO-) and assigns generalized Amber (GAFF) parameters to them.
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Updated
Jan 27, 2020 - Rich Text Format
Build atomistic structures of carbon nanotubes with the possibility to add functional groups (OH, COOH, COO-) and assigns generalized Amber (GAFF) parameters to them.
CNTT, also spelled C-entity, is an acronym for Carbon Nano Tube Tool. It's a tool for computing, displaying and manipulating properties of carbon nanotubes.
Calculation of intersubband plasmons in doped carbon nanotubes.
Simulation for the conduction between carbon nanotubes (CNTs) in a random network field effect transistor
An old Fortran program for generating carbon nanotube coordinates.
Ansys Mechanical APDL files for mesh generation and simulation of carbon reinforced composites
The main objective in this analysis will be to use deep learning algorithms to predict atomic coordinates of carbon nanotubes. Using the carbon nanotubes dataset from the UCI Machine Learning data repository.
This repository contains source code and PCB designs for a switch matrix to measure carbon nanotube field-effect transistors.
Code to generate randomised initial periodic molecular structure with 2 molecule types for MD simulations
Monte Carlo simulation of exciton diffusion in carbon nanotube networks
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