PyCAC
PyCAC, the concurrent atomistic-continuum (CAC) simulation environment, is a software suite that allows users to run CAC simulations and analyze data. It comprises a Python GUI for interaction with and creation of CAC simulation projects, and the CAC simulator itself.
It is developed by the group of Prof. David L. McDowell at the Georgia Institute of Technology, in collaboration with the group of Prof. Youping Chen at the University of Florida and the group of Prof. Liming Xiong at the Iowa State University. The code development was sponsored by
- National Science Foundation
- Georgia Institute of Technology, CMMI-1232878
- University of Florida, CMMI-1233113
- Iowa State University, CMMI-1536925
- Department of Energy, Office of Basic Energy Sciences
- University of Florida, DE-SC0006539
Documentation
For configuration and usage instructions, please see the PyCAC website
License
The GUI wrapper for CAC is released under the Apache Software License v2.0
The CAC simulator package must be requested separately, and is released under the following terms: Copyright (c) 2017-2018 Georgia Institute of Technology. All Rights Reserved. NO public distribution.
Note
This source code is provided as is, with no warranties or representations of accuracy or suitability for any application, and with no expectation of user support. Some information is provided in the PyCAC user's manual. Please note the citation requests for any derivative works based on application of this package.
1 maintainer
Metadata
1 maintainer
Release files for pycac 0.2.5
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| File | Size | Uploaded | Provenance | Actions |
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| pycac-0.2.5.tar.gz | 83.1 kB | Without provenance | Details for pycac-0.2.5.tar.gz |
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| File | Interpreter | ABI | Platform | Actions Reset |
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| pycac-0.2.5-py3-none-any.whl | Python 3 | none | any | Details for pycac-0.2.5-py3-none-any.whl |
Total release size: 206.4 kB
Release files / pycac-0.2.5.tar.gz
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Release files / pycac-0.2.5-py3-none-any.whl
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