Metadata-Version: 1.2
Name: machball
Version: 0.2.0
Summary: self-limited (ALD, ALE) reactive transport in nanostructures
Home-page: https://github.com/aldsim/machball
Author: Angel Yanguas-Gil
Author-email: ayg@anl.gov
License: UNKNOWN
Description: # What is Machball?
        
        Machball models the reactive transport
        inside high aspect ratio and nanostructured materials for
        self-limited processes such as atomic layer deposition (ALD)
        and atomic layer etching (ALE).
        
        # Documentation
        
        Machball's documentation can be found under docs and in
        [readthedocs](https://machball.readthedocs.io/en/latest/)
        
        # Install instructions
        
        Using pip:
        ```
        pip install machball
        ```
        
        From github:
        ```
        git clone https://github.com/aldsim/machball.git
        cd machball/
        pip install -e .
        ```
        
        # Quickstart
        
        You can model ALD inside a high aspect ratio feature with just
        a few lines of code:
        ```
        from machball import ALDIdeal
        from machball.ballistic import Via
        ald = ALDIdeal(1e-2, 100, 473, 10, 10e-20, betarec=0)
        st = Via(50, 100) # Aspect ratio, and number of segments
        dose_times, coverages = ald.saturation_ballistic(st)
        ```
        
        # Authors
        
        Machball was developed at Argonne National Laboratory. Currently
        the team comprises:
        
        * Angel Yanguas-Gil, <ayg@anl.gov>, Lead and founder
        * Jeffrey W Elam
        
        # Citing
        
        If you are referencing Machball in a publication, please cite
        the following paper:
        
        * Ballistic transport model:
        
            A. Yanguas-Gil and J. W. Elam, **A Markov chain approach to
            simulate Atomic Layer Deposition chemistry and transport inside
            nanostructured substrates**, Theoretical Chemistry Accounts
            133, Article number: 1465 (2014). http://dx.doi.org/10.1007/s00214-014-1465-x
        
        
        # Acknowledgements
        
        Machball development was partially funded through Argonne's
        Laboratory Directed Research and Development program.
        
        # Copyright and license
        
        Copyright (2013), UChicago Argonne, LLC
        
        Machball is distributed under the terms of the BSD License. A
        copy of the license can be found [here](https://github.com/aldsim/machball/blob/master/LICENSE)
        
        Argonne Software Number: SF-13-072
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Manufacturing
Requires-Python: >=3.6
