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It has been found that some conventional k−ε models may give reasonable predictions when proper numerical parameters are incorporated.
The reduced models may give a better initial guess for the Newton solution at the next time step.
The introduction of quantum dynamics in these models may give practical hints towards the development of new algorithms and technologies.
We suggest that, in practice, biological models may give more succinct representations of various problems, and we mention a few cases in which biological models have proved useful.
Even though reservoir simulation models (numerical models) may give more flexibility and detailed results of oil and gas production, analytical models are commonly used in the field for quick, practical and reasonable estimation of well performance.
Some models may give different results depending upon how the chemical structure has been described, or optimised, and so on.
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In some cases, the DD model may give a qualitatively false description of the modelled device.
A voluntary pool or clearinghouse model may give rise to a robust commercial ecosystem for CRISPR and could include special provisions for royalty-free research use by academics.
The proposed model may give a better understanding of the effects of noise control measures such as road side noise barriers and traffic regulations.
The good correlation between the experimental and simulated results shows, that the model may give atomistic information for evaluating new polyelectrolyte materials.
This result demonstrates that our model may give more precise prediction for optimal probability than other models.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com