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Nanocrystallization in many driven amorphous alloys can be understood using the kinetic model developed here.
Using the kinetic model of non-trivial surface polymerization, information about elemental reactions and their role in the reaction mechanism has been attained.
The model is also used to simulate the performance of a partially wetted Pt/A12O3 pellet using the kinetic model of Babcock.
The computational results using the S-system kinetic model obtained from the second run are in better agreement with the experiments than those using the kinetic model obtained from batch time-series data.
The simulated residual nitrate concentrations using the simplified model were in good agreement with the experimental data; the simulated results using the simplified model were also close to those using the kinetic model.
Using the kinetic model of non-trivial surface-polymerization, probabilities of reactions of chemisorbed intermediates are calculated as function of time and carbon number of species, at several sets of reaction parameters and different catalyst properties.
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Specific growth rates of strain G1 and specific degradation rates of 4-FCA were observed to follow substrate inhibition kinetics, which could be modeled using the kinetic models of Haldane Andrew and Luong Levenspiel.
Adopting these strategies, and using the kinetic models to optimise feeding strategies, the one pot syntheses of APD and ABT were successfully scaled-up to preparative scales.
With the obtained experimental data, using the kinetic models (logistic equation and by Luedeking Piret), the kinetic parameters were estimated.
The developed model uses the kinetic model of Markusse et al. (Catal. Today 66 2001191191) and is validated with the experimental kinetic data of methyl α-D-glucopyranoside (MGP) oxidation obtained by Vleeming et al. (Ind. Eng. Chem. Res).
The proposed adaptive extremum seeking approach uses the kinetic model of the bioreactor to construct a seeking algorithm that drives the system states to the desired set-points that extremize the value of an objective function.
More suggestions(15)
using the kinetic rate
using the kinetic chromogenic
using the kinetic equation
using the recessive model
using the noncompartment model
using the kinetic energy
using the partitioned model
using the ΔΔCt model
using the random model
using the homeostatic model
using the same model
using the above model
using the kinetic mode
using the kinetic lattice
using the kinetic force
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