Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
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○Scientific vocabulary similarity
Low similarity (4.0%) to scientific vocabulary
Repository
Project files/source code for the PyRTP program
Basic Info
- Host: GitHub
- Owner: Matt-A-Thompson
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.46 MB
Statistics
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 3
- Releases: 0
Metadata Files
README.md
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PyRTP
Contributing authors:
Matthew Thompson - MatThompson@lincoln.ac.uk
Matt Watkins - MWatkins@lincoln.ac.uk
Warren Lynch - WLynch@lincoln.ac.uk
Date of last edit: 19/03/2024
Description: A program to perform RT-TDDFT exclusively in Python.
A variety of propagators (CN, EM, ETRS, etc.) can be
selected for benchmarking and testing.
System requirements: - Python >= 3.10 - Numpy >= 1.13 - npy-append-array >= 0.9.5 - Sympy >=1.7.1 - Scipy >= 0.19 - PyLibXC - Numba >= 0.51.2
Owner
- Name: Matt Thompson
- Login: Matt-A-Thompson
- Kind: user
- Location: Lincoln, UK
- Website: https://staff.lincoln.ac.uk/7b7677f5-3ab0-47fd-a04e-a996311da173
- Repositories: 1
- Profile: https://github.com/Matt-A-Thompson
4th Year MPhys Physics student @ University of Lincoln, UK. Currently working on optimisation of TDDFT methods in CP2K.