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Microkinetic model
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==Define your precision== * Chances are high that you are working with systems of differential equations with high stiffness. Mind that stationary-state models have solving routines that resemble those of stiff differential equations. * Single, double, or quad precision (8, 16, 32 floating-point digits) most times are not enough. You need a package capable of withstanding arbitrary precision. Excel won't do. Fortran, with great expenses. To the best of my knowledge, only Python and Maple have extensive support for arbitrary precision. * Rodrigo's rule of thumb of required precision: use 16+log(Highest possible kinetic constant/Lowest possible kinetic constant). This is, get how many orders of magnitude differentiate the fastest and lowest kinetic constants, and add 16 more digits. Most times 36-60 digits will suffice. * Nørskov's rule of thum: use 100 digits. It is an overshoot, and it will be exceedingly slow or even crash for large networks.
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