https://github.com/arfc/2025-zambrano-ans
This repository the abstract detailing the work Ceser has done with Osier. It contains a model of the UIUC energy mix that was developed using OSIER.
Science Score: 13.0%
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
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○DOI references
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○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.1%) to scientific vocabulary
Repository
This repository the abstract detailing the work Ceser has done with Osier. It contains a model of the UIUC energy mix that was developed using OSIER.
Basic Info
Statistics
- Stars: 0
- Watchers: 1
- Forks: 1
- Open Issues: 1
- Releases: 0
Metadata Files
README.md
UIUC energy model project
A model detailing the energy systems mix employed at UIUC will be simulated using osier. Single and multiple objective scenarios will be used. Model will be used to write an abstract for the ANS conference. osier was developed by Sam Dotson
Installation of necessary packages
Installation of osier via PyPI
osier can be downloaded through PyPI. It can be downloaded by running the following command in the terminal:
bash
python -m pip install osier
Installation of osier via forking
Additionally, the associated github repository can be forked and built using the terminal. The following commands can be used to fork and build using the terminal:
```bash git clone https://github.com/arfc/osier.git cd osier
for a basic installation
pip install .
(Windows/Linux) to also install the documentation dependencies
pip install .[doc]
(MacOS)
pip install .'[doc]' ```
It is recommended to build a conda environment with osier installed using Conda/Mamba. After cloning, one can run:
bash
mamba env create # mamba and conda are interchangeable, here
mamba activate osier-new
Installation of CPLEX
This model directly uses the IBM ILOG CPLEX optimization tool for simulations. The steps for installation are available on the CPLEX payment page upon payment. However, the tool itself is free for all verified academic institutions. Steps to install the academic version are here
Owner
- Name: Advanced Reactors and Fuel Cycles
- Login: arfc
- Kind: organization
- Email: arfc@groups.google.com
- Location: University of Illinois at Urbana-Champaign
- Website: https://arfc.github.io
- Repositories: 113
- Profile: https://github.com/arfc
A research group focused on modeling and simulation of advanced nuclear reactors and fuel cycles.
GitHub Events
Total
- Push event: 28
Last Year
- Push event: 28
Dependencies
- asttokens 2.4.1
- brotli 1.1.0
- brotli-bin 1.1.0
- bzip2 1.0.8
- ca-certificates 2024.8.30
- certifi 2024.8.30
- contourpy 1.3.0
- cycler 0.12.1
- decorator 5.1.1
- exceptiongroup 1.2.2
- executing 2.1.0
- freetype 2.12.1
- ipython 8.27.0
- jedi 0.19.1
- jupyter_core 5.7.2
- jupyterthemes 0.20.0
- kiwisolver 1.4.7
- lcms2 2.16
- lerc 4.0.0
- lesscpy 0.15.1
- libblas 3.9.0
- libbrotlicommon 1.1.0
- libbrotlidec 1.1.0
- libbrotlienc 1.1.0
- libcblas 3.9.0
- libcxx 19.1.0
- libdeflate 1.21
- libffi 3.4.2
- libgfortran 5.0.0
- libgfortran5 13.2.0
- libjpeg-turbo 3.0.0
- liblapack 3.9.0
- libopenblas 0.3.27
- libpng 1.6.44
- libsqlite 3.46.1
- libtiff 4.7.0
- libwebp-base 1.4.0
- libxcb 1.17.0
- libzlib 1.3.1
- llvm-openmp 18.1.8
- matplotlib-base 3.9.2
- matplotlib-inline 0.1.7
- munkres 1.1.4
- ncurses 6.5
- numpy 2.1.1
- openjpeg 2.5.2
- openssl 3.3.2
- packaging 24.1
- parso 0.8.4
- pexpect 4.9.0
- pickleshare 0.7.5
- pillow 10.4.0
- pip 24.2
- ply 3.11
- pthread-stubs 0.4
- ptyprocess 0.7.0
- pure_eval 0.2.3
- pygments 2.18.0
- pyparsing 3.1.4
- python 3.10.0
- python_abi 3.10
- qhull 2020.2
- readline 8.2
- setuptools 73.0.1
- six 1.16.0
- sqlite 3.46.1
- stack_data 0.6.2
- tk 8.6.13
- traitlets 5.14.3
- typing_extensions 4.12.2
- unicodedata2 15.1.0
- wcwidth 0.2.13
- wheel 0.44.0
- xorg-libxau 1.0.11
- xorg-libxdmcp 1.1.3
- xz 5.2.6
- zstd 1.5.6