Metadata-Version: 2.1
Name: NISP
Version: 1.3.0
Summary: The Nanocluster Interpolation Scheme Program (NISP) is designed to perform an interpolation scheme that gives idea of the types of perfect, closed-shell and open-shell clusters for a cluster at selected sizes.
Home-page: https://blogs.otago.ac.nz/annagarden/
Author: Geoffrey R. Weal, Dr. Anna L. Garden, Dr. Andreas Pedersen and Prof. Hannes Jónsson
Author-email: anna.garden@otago.ac.nz
License: GNU AFFERO GENERAL PUBLIC LICENSE
Download-URL: https://github.com/GardenGroupUO/NIS/archive/v1.3.0.tar.gz
Description: # The Nanocluster Interpolation Scheme Program (NISP)
        
        [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/NISP)](https://docs.python.org/3/)
        [![GitHub release (latest by date)](https://img.shields.io/github/v/release/GardenGroupUO/NISP)](https://github.com/GardenGroupUO/NISP)
        [![PyPI](https://img.shields.io/pypi/v/NISP)](https://pypi.org/project/NISP/)
        [![Conda](https://img.shields.io/conda/v/gardengroupuo/nisp)](https://anaconda.org/GardenGroupUO/nisp)
        [![Documentation Status](https://readthedocs.org/projects/nisp/badge/?version=latest)](https://nisp.readthedocs.io/en/latest/)
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GardenGroupUO/NISP/main?urlpath=lab)
        [![GitHub](https://img.shields.io/github/license/GardenGroupUO/NISP)](https://www.gnu.org/licenses/agpl-3.0.en.html)
        
        The Nanocluster Interpolation Scheme Program (NISP) is designed to perform an interpolation scheme that can give an idea of icosahedral, decahedral, and octahedral clusters that can be formed with a given number of atoms. 
        
        This scheme is based on the work by Garden *et al.* as described in "Reassignment of ‘magic numbers’ for Au clusters of decahedral and FCC structural motifs", 
        
        	*A. L. Garden, A. Pedersen, H. Jónsson, “Reassignment of ‘magic numbers’ of decahdral and FCC structural motifs”, Nanoscale, 10, 5124-5132 (2018).*
        
        See https://doi.org/10.1039/C7NR09440J for more information on this scheme.
        
        **If you are new to NISP, it is recommended try it out by running NISP live on our interactive Jupyter+Binder page before you download it. On Jupyter+Binder, you can play around with NISP on the web. You do not need to install anything to try NISP out on Jupyter+Binder.** 
        
        **Click the Binder button below to try NISP out on the web! (The Binder page may load quickly or may take 1 or 2 minutes to load)**
        
        [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/GardenGroupUO/NISP/main?urlpath=lab)
        
        All the information about this program is found online at [nisp.readthedocs.io/en/latest/](https://nisp.readthedocs.io/en/latest/). It is recommended to read the installation page before using the algorithm ([nisp.readthedocs.io/en/latest/Installation.html](https://nisp.readthedocs.io/en/latest/Installation.html)). Note that you can install NISP through ``pip3`` and ``conda``. See the [installation instructions](https://nisp.readthedocs.io/en/latest/Installation.html) on how to do this. 
Keywords: nanoclusters,nanoparticles,clusters
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Natural Language :: English
Classifier: Operating System :: MacOS :: MacOS X
Classifier: Operating System :: POSIX :: Linux
Classifier: Operating System :: Unix
Classifier: Topic :: Scientific/Engineering :: Chemistry
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Topic :: Scientific/Engineering :: Mathematics
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: Natural Language :: English
Classifier: License :: OSI Approved :: GNU Affero General Public License v3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
