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LICENSE
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Karlsruhe Institute of Technology (KIT) Open Source License
Copyright (c) 2022, Institute of Nanotechnology/Multiscale Materials Modelling and Virtual Design.
All rights reserved.
Developed by:
Developer: Celso Ricardo C. Rêgo,
Multiscale Materials Modelling and Virtual Design,
Institute of Nanotechnology, Karlsruhe Institute of Technology
https://www.int.kit.edu/wenzel.php
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the ``Software'') to deal with the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions:
- Redistributions of source code must retain the above copyright notice, this list of conditions, and the following disclaimers.
- Redistributions in binary form must reproduce the above copyright notice, this list of conditions, and the following disclaimers in the documentation and/or other materials provided with the distribution.
- Neither the names of the Karlsruhe Institute of Technology, the Institute of Nanotechnology, the SimStack, nor the names of its contributors may be used to endorse or promote products derived from this Software without specific prior written permission.
THE SOFTWARE IS PROVIDED "AS IS" WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE, AND NON-INFRINGEMENT. IN NO EVENT SHALL THE CONTRIBUTORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES, OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT, OR OTHERWISE, ARISING FROM, OUT OF, OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS WITH THE SOFTWARE.
The sentences below should be included in the README file.
This code (WaNo or Workflow names, e.g., DFT-VASP) is made available under the KIT license enclosed with the software.
Over and above the legal restrictions imposed by this license, you are obliged to provide proper attribution if you use this software for an academic publication. This can be done by citing the code directly and the paper below,
- DFT-VASP, (2022). https://github.com/KIT-Workflows/DFT-VASP.
- SimStack: An Intuitive workflow framework. Front. Mater. 9.877597, doi: 10.3389/fmats.2022.877597.