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Introduction
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<a href="." >Introduction</a>
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<h1 id="pycac-documentation-and-gui-source">PyCAC Documentation and GUI source</h1>
<p>Aug 28 2017 version</p>
<p>Copyright (c) 2017-2018 Georgia Institute of Technology. All Rights Reserved.</p>
<p>PyCAC, the concurrent atomistic-continuum (CAC) simulation environment, is a software suite that allows users to run CAC simulations and analyze data.</p>
<p>Currently, the CAC simulator and analyzer are written in Fortran 2008, with different parts of the workflow glued by a Python scripting interface.</p>
<p>This user's manual is maintained by <a href="https://shuozhixu.cnsi.ucsb.edu" target="_blank">Shuozhi Xu</a>, <a href="mailto:[email protected]" target="_blank">Kevin Chu</a>, and <a href="mailto:[email protected]" target="_blank">Alex Selimov</a>. Kevin and Alex are current Ph.D. students, while Shuozhi is a former Ph.D. student and Postdoctoral Fellow with <a href="http://www.me.gatech.edu/faculty/mcdowell" target="_blank">Prof. David L. McDowell</a> at the <a href="http://www.gatech.edu" target="_blank">Georgia Institute of Technology</a>.</p>
<p>The PyCAC interface is open-source and the CAC simulator code is available upon request. For access, please <a href="mailto:[email protected]" target="_blank">email Prof. David L. McDowell</a>.</p>
<h3 id="gui-source-code">GUI source code</h3>
<p><a href="https://pypi.org/project/pycac/" target="_blank">PyPi</a>(Recommended): Use Python pip to seamlessly install the PyCAC GUI.</p>
<p><a href="https://github.com/GT-McDowell-Lab/PyCAC/" target="_blank">GitHub</a>: Please navigate to the gui/ folder in the repository and follow the instructions there.</p>
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