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  "title": "FiPy: A Finite Volume PDE Solver Using Python",
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    "The solution of coupled sets of PDEs is ubiquitous to the numerical simulation of science problems.  Numerous PDE solvers exist, using a variety of languages and numerical approaches. Many are proprietary, expensive and difficult to customize.  As a result, scientists spend considerable resources repeatedly developing limited tools for\nspecific problems.  Our approach, combining the FV method and Python, provides a tool that is extensible, powerful and freely available. A significant advantage to Python is the existing suite of tools for array calculations, sparse matrices and data rendering.",
    "The FiPy framework includes terms for transient diffusion, convection and standard sources, enabling the solution of arbitrary combinations of coupled elliptic, hyperbolic and parabolic PDEs. Currently implemented models include phase field treatments of polycrystalline, dendritic, and electrochemical phase transformations, as well as drug eluting stents, reactive wetting, photovoltaics and a level set treatment of the electrodeposition process."
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      "title": "FiPy: Partial Differential Equations with Python",
      "issued": "2009-05",
      "citation": "Guyer, J. E., Wheeler, D., & Warren, J. A. (2009). FiPy: Partial Differential Equations with Python. Computing in Science & Engineering, 11(3), 6\u00e2\u0080\u009315. https://doi.org/10.1109/mcse.2009.52\n"
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