sciantix-official / main

The branch 'sciantix-official / main' contains the new sciantix 2.0 version, together with the validation database and regression files.

Installation

On Linux

1. Obtain the code (either by git clone or by downloading the zip)
2. Install dependencies
   • Ubuntu: sudo apt install build-essential
3. Compile all by typing make in the obtained code directory
   • to utilize more cores, use make -j
   • a directory called bin with executable sciantix.x should appear
4. (optional) Compile the code documentation by typing doxygen in the code directory
   • if doxygen is not found, install by sudo apt install doxygen
5. (optional) Run regression tests to verify everything works correctly

   cd regression
   python regression.py
   

On Windows

A possible approach is throught the Windows Subsystem for Linux (WSL).

1. Install Windows Subsystem for Linux (WSL)

2. Once having installed WSL, download the code zip and unpack it.

3. Run WSL (by typing wsl in cmd.exe or as Ubuntu application in Start menu). Navigate to the unpacked code directory (possibly by cd /mnt/c/..., where ... should be changed to code directory path).

4. Follow instructions for Linux from point 2.

Usage

To run Sciantix, execute call the sciantix.x executable inside directory with the input files.

Refer to Input file Explanation for input syntax manual.

Some examples of input files can be found

• in the regression directory,
• in the utilities/inputExample directory by running the Python files

  python utilities/inputExample/print_input_initial_conditions.py
  python utilities/inputExample/print_input_scaling_factors.py
  python utilities/inputExample/print_input_settings.py
  

Theory, papers

G. Zullo, D. Pizzocri, L. Luzzi,
The SCIANTIX code for fission gas behaviour: Status, upgrades, separate-effect validation, and future developments,
Journal of Nuclear Materials,
Volume 587,
2023,
154744,
ISSN 0022-3115,
https://doi.org/10.1016/j.jnucmat.2023.154744.
(https://www.sciencedirect.com/science/article/pii/S0022311523005111)

D. Pizzocri, T. Barani, L. Luzzi,
SCIANTIX: A new open source multi-scale code for fission gas behaviour modelling designed for nuclear fuel performance codes,
Journal of Nuclear Materials,
Volume 532,
2020,
152042,
ISSN 0022-3115,
https://doi.org/10.1016/j.jnucmat.2020.152042.
(https://www.sciencedirect.com/science/article/pii/S0022311519313868)