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The equations belong to the class of reaction diffusion equations and are strongly non-linear.
A time-honoured principle of organic chemistry that describes an important class of reaction mechanisms may need to be revised.
We present an alternative to the perturbative (in coupling constant) diagrammatic approach for studying stochastic dynamics of a class of reaction diffusion systems.
The problem of designing an on-line optimizing output-feedback (OF) controller for the class of reaction: A + B ↔ C + D of batch reactive distillation columns with temperature measurements is addressed.
We considered each step in the oxidation process as a class of reaction, including all the possible reactions taking place, only the formation and re-dissociation of initial adducts are critical for the low temperature combustion of methyl acetate.
The leave-one-out training procedure and prediction for the external validation set, containing 22 drugs from Obach's publication [25] and enriched by additional information from the Biovia Metabolite database, shows high accuracy (approximately 0.95 on average) for the prediction of the reacting atoms for each class of reaction.
Similar(51)
This paper is focused on the design of robust tracking control for a class of reaction-diffusion partial differential equations.
In this paper, the intermittent H∞ synchronization problem for a class of reaction-diffusion neural networks with Dirichlet boundary conditions is investigated.
In this paper we present a parameter inversion method for a class of reaction-diffusion systems by the use of the Picard contraction mapping.
In the class of reaction-difussion systems mathematically represented by the boundary value problem of Fourier's equation, necessary conditions for the appearance of singularities of condimension 1,2 and 3 (folds, cusps and swallow-tails) have been derived.
By considering combustion models from the class of reaction-transport manifolds (inert mixing, equilibrium, flamelet/progress variable, and flame-prolongation in ILDM) and chemistry manifolds (using detailed and skeletal mechanisms), it is shown that PEC locally adapts the submodel fidelity within the user-defined threshold for selected quantities of interest.
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