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The model capabilities to predict variable amplitude tests are critically discussed by comparisons with experiments.
Model capabilities to represent the actual flow behavior are tested by comparing calculated gasoil pressures at the nozzle with experimental values obtained for different gasoil flow rates.
Such case studies shed light to the model capabilities to represent different kinds and particular scheduling problems, achieving integration at the different decision support levels.
We are also conducting a detailed study of the HAF model capabilities to provide quantitative forecasts of the geoeffectiveness of solar-driven space disturbances.
Finally, aiming at examining the model capabilities to describe multicomponent systems, VLE measurements involving two alcohols and the fatty acid ethyl ester mixture obtained from non-edible vegetable oil have been carried out showing the good performance of the predictive models.
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Our model capability to predict application performance according to the quantization noise level has been analyzed.
The model capability to simulate different types of promising electrode architectures has also been investigated.
Comparisons between numerical and experimental results demonstrate the model capability to satisfactorily simulate all the aforementioned processes.
Several examples, in both forced and buoyant flows, are shown to illustrate the model capability to predict flame growth and extinction processes.
It was also possible to directly validate the model capability to predict the evolution of position-specific isotope ratios with available experimental data.
Finally, the influence of main model parameters is addressed, proving also the model capability to catch the experimentally-observed dependence of the tangent-to-normal contact stiffness ratio on the closure pressure.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com