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    TDACChemistryModel: New chemistry model providing Tabulation of Dynamic Adaptive Chemistry · f2c263b9
    Henry Weller authored
    Provides efficient integration of complex laminar reaction chemistry,
    combining the advantages of automatic dynamic specie and reaction
    reduction with ISAT (in situ adaptive tabulation).  The advantages grow
    as the complexity of the chemistry increases.
    
    References:
        Contino, F., Jeanmart, H., Lucchini, T., & D’Errico, G. (2011).
        Coupling of in situ adaptive tabulation and dynamic adaptive chemistry:
        An effective method for solving combustion in engine simulations.
        Proceedings of the Combustion Institute, 33(2), 3057-3064.
    
        Contino, F., Lucchini, T., D'Errico, G., Duynslaegher, C.,
        Dias, V., & Jeanmart, H. (2012).
        Simulations of advanced combustion modes using detailed chemistry
        combined with tabulation and mechanism reduction techniques.
        SAE International Journal of Engines,
        5(2012-01-0145), 185-196.
    
        Contino, F., Foucher, F., Dagaut, P., Lucchini, T., D’Errico, G., &
        Mounaïm-Rousselle, C. (2013).
        Experimental and numerical analysis of nitric oxide effect on the
        ignition of iso-octane in a single cylinder HCCI engine.
        Combustion and Flame, 160(8), 1476-1483.
    
        Contino, F., Masurier, J. B., Foucher, F., Lucchini, T., D’Errico, G., &
        Dagaut, P. (2014).
        CFD simulations using the TDAC method to model iso-octane combustion
        for a large range of ozone seeding and temperature conditions
        in a single cylinder HCCI engine.
        Fuel, 137, 179-184.
    
    Two tutorial cases are currently provided:
        + tutorials/combustion/chemFoam/ic8h18_TDAC
        + tutorials/combustion/reactingFoam/laminar/counterFlowFlame2D_GRI_TDAC
    
    the first of which clearly demonstrates the advantage of dynamic
    adaptive chemistry providing ~10x speedup,
    
    the second demonstrates ISAT on the modest complex GRI mechanisms for
    methane combustion, providing a speedup of ~4x.
    
    More tutorials demonstrating TDAC on more complex mechanisms and cases
    will be provided soon in addition to documentation for the operation and
    settings of TDAC.  Also further updates to the TDAC code to improve
    consistency and integration with the rest of OpenFOAM and further
    optimize operation can be expected.
    
    Original code providing all algorithms for chemistry reduction and
    tabulation contributed by Francesco Contino, Tommaso Lucchini, Gianluca
    D’Errico, Hervé Jeanmart, Nicolas Bourgeois and Stéphane Backaert.
    
    Implementation updated, optimized and integrated into OpenFOAM-dev by
    Henry G. Weller, CFD Direct Ltd with the help of Francesco Contino.
    f2c263b9