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***properties.py** A collection of tools for estimating useful properties based on composition.
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***lattice.py** Given the sites, multiplicities and possible oxidation states
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at those sites, this reads from the database and generates all possible
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stoichiometeries.
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stoichiometries.
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***builder.py** Builds some common lattice structures, given the chemical
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composition.
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***lattice_parameters.py** Estimation of lattice parameters for various lattice types using covalent/ionic radii.
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------------
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The main language is Python 3 and has been tested using Python 3.9+.
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Basic requirements are Numpy and Scipy.
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The [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase) (ASE), [spglib](http://atztogo.github.io/spglib), and [pymatgen](www.pymatgen.org) are also required for many components.
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The [Atomic Simulation Environment](https://wiki.fysik.dtu.dk/ase) (ASE), [spglib](http://atztogo.github.io/spglib), and [pymatgen](https://pymatgen.org) are also required for many components.
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Installation
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------------
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The latest stable release can be installed via pip which will automatically setup other Python packages as required:
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The latest stable release can be installed via pip which will automatically set up other Python packages as required:
For developer installation SMACT can be installed from a copy of the source
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repository (https://github.com/wmd-group/smact); this will be preferred if using experimental code branches.
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To clone the project from Github and make a local installation:
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To clone the project from GitHub and make a local installation:
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git clone https://github.com/wmd-group/smact.git
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cd smact
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Run the tests using `python -m pytest -v`.
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(The final `-v` is optional and adds more detail to the output.)
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We also use integrated testing on Github via [GitHub Actions](hhttps://github.com/features/actions).
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We also use integrated testing on GitHub via [GitHub Actions](hhttps://github.com/features/actions).
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References
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----------
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[H. Park et al,
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[H. Park et al.,
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"Mapping inorganic crystal chemical space" *Faraday Discuss.* (2024)](https://pubs.rsc.org/en/content/articlelanding/2024/fd/d4fd00063c)
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[D. W. Davies et al,
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[D. W. Davies et al.,
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"SMACT: Semiconducting Materials by Analogy and Chemical Theory" *JOSS***4**, 1361 (2019)](https://joss.theoj.org/papers/7efd2f2ad60d25bdccee3fbd3fc11448)
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[D. W. Davies et al,
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[D. W. Davies et al.,
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"Materials discovery by chemical analogy: role of oxidation states in structure prediction" *Faraday Discuss.***211**, 553 (2018)](https://pubs.rsc.org/en/Content/ArticleLanding/2018/FD/C8FD00032H)
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[D. W. Davies et al,
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[D. W. Davies et al.,
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"Computational screening of all stoichiometric inorganic materials" *Chem***1**, 617 (2016)](http://www.cell.com/chem/abstract/S2451-9294(16)30155-3)
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[B. R. Pamplin, "A systematic method of deriving new semiconducting
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