The Nanocluster Interpolation Scheme Program (NISP)
Authors: Dr. Anna L. Garden (University of Otago, Dunedin, New Zealand), Dr. Andreas Pedersen, and Hannes Jónsson (University of Iceland, Reykjavík, Iceland)
Group pages: https://blogs.otago.ac.nz/annagarden/ , https://notendur.hi.is/hj/
Page to cite with work from: A. L. Garden, A. Pedersen, H. Jónsson, “Reassignment of ‘magic numbers’ of decahedral and FCC structural motifs”, Nanoscale, 10, 5124-5132 (2018), DOI: 10.1039/C7NR09440J
What is NISP
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 decahedral and FCC structural motifs”, Nanoscale, 10, 5124-5132 (2018), DOI: 10.1039/C7NR09440J
See https://doi.org/10.1039/C7NR09440J for more information on this scheme.
Try NISP before you Clone/Pip/Conda (on Binder/Jupter Notebooks)!
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)
Installation
It is recommended to read the installation page before using the NISP program.
nisp.readthedocs.io/en/latest/Installation.html
Note that you can install NISP through pip3 and conda. See the installation instructions on how to do this.
Output files that are created by NISP
Examples of the plots that are created are shown below. The first of these is the interpolation scheme plot, which shows all the estimated energies of nanoclusters across the size range of nanoclusters that you are measuring across. An example of this for Au nanoclusters, using the RGL potetial with parameters from Baletto et al. (DOI: 10.1063/1.1448484), is shown below:
The second plot is the same nterpolation scheme plot shown above, but with lines through it at the places that you want to obtain cluster with the particular number of atoms that you desire.
There are also text documents that contain the delta energies of the various nanoclusters that you calculated, as well as instructions about how to remove atoms from certain nanoclusters in order to get icosahedral, decahedral, and octahedral nanoclusters with the particular number of atoms that you desire. Click here to see examples of all of these plots and text files.
Where can I find the documentation for NISP
All the information about this program is found online at nisp.readthedocs.io/en/latest/. Click the button below to also see the documentation:
About
| Python | |
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| Authors | Geoffrey R. Weal, Dr. Anna L. Garden, Dr. Andreas Pedersen and Prof. Hannes Jónsson |
| Group Website | https://blogs.otago.ac.nz/annagarden/ |
Metadata
Release files for NISP 1.3.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| NISP-1.3.5.tar.gz | 34.5 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| NISP-1.3.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 76.7 kB
Release files / NISP-1.3.5.tar.gz
| Download URL | NISP-1.3.5.tar.gz |
|---|---|
| Size | 34.5 kB |
| Tags | Source |
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Release files / NISP-1.3.5-py3-none-any.whl
| Download URL | NISP-1.3.5-py3-none-any.whl |
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| Size | 42.2 kB |
| Tags | Python 3 |
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twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.4
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