Carbon Nanotubes
Donated on 4/4/2018
This dataset contains 10721 initial and calculated atomic coordinates of carbon nanotubes.
Dataset Characteristics
Univariate
Subject Area
Computer Science
Associated Tasks
Regression
Feature Type
Real
# Instances
10721
# Features
-
Dataset Information
Additional Information
CASTEP can simulate a wide range of properties of materials proprieties using density functional theory (DFT). DFT is the most successful method calculates atomic coordinates faster than other mathematical approaches, and it also reaches more accurate results. The dataset is generated with CASTEP using CNT geometry optimization. Many CNTs are simulated in CASTEP, then geometry optimizations are calculated. Initial coordinates of all carbon atoms are generated randomly. Different chiral vectors are used for each CNT simulation. The atom type is selected as carbon, bond length is used as 1.42 A° (default value). CNT calculation parameters are used as default parameters. To finalize the computation, CASTEP uses a parameter named as elec_energy_tol (electrical energy tolerance) (default 1x10-5 eV) which represents that the change in the total energy from one iteration to the next remains below some tolerance value per atom for a few self-consistent field steps. Initial atomic coordinates (u, v, w), chiral vector (n, m) and calculated atomic coordinates (u’, v’, w’) are obtained from the output files.
Has Missing Values?
No
Variables Table
| Variable Name | Role | Type | Description | Units | Missing Values |
|---|---|---|---|---|---|
| no | |||||
| no | |||||
| no | |||||
| no | |||||
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Additional Variable Information
The summary of the attributes is given below. Please read the papers (https://doi.org/10.1007/s00339-016-0153-1 and https://doi.org/10.17341/gazimmfd.337642) for detailed descriptions of the attributes. Chiral indice n: n parameter of the selected chiral vector. Chiral indice m: n parameter of the selected chiral vector. Initial atomic coordinate u: Randomly generated u parameter of the initial atomic coordinates of all carbon atoms. Initial atomic coordinate v: Randomly generated v parameter of the initial atomic coordinates of all carbon atoms. Initial atomic coordinate w: Randomly generated w parameter of the initial atomic coordinates of all carbon atoms. Calculated atomic coordinate u’: Calculated u’ parameter of the atomic coordinates of all carbon atoms. Calculated atomic coordinate v’: Calculated v’ parameter of the atomic coordinates of all carbon atoms. Calculated atomic coordinate w’: Calculated w’ parameter of the atomic coordinates of all carbon atoms.
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset carbon_nanotubes = fetch_ucirepo(id=448) # data (as pandas dataframes) X = carbon_nanotubes.data.features y = carbon_nanotubes.data.targets # metadata print(carbon_nanotubes.metadata) # variable information print(carbon_nanotubes.variables)
Carbon Nanotubes. (2018). UCI Machine Learning Repository. https://doi.org/10.24432/C50892.
@misc{misc_carbon_nanotubes_448,
title = {{Carbon Nanotubes}},
year = {2018},
howpublished = {UCI Machine Learning Repository},
note = {{DOI}: https://doi.org/10.24432/C50892}
}DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.