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the potential degrees of freedom, the memory requirement of your model are much harder.
The predicted results obtained by our model are much more accurate than those obtained by existing methods.
The power output and the energy conversion efficiency of the present model are much larger than those of classical model which only includes piezoelectric effect.
It is found that the temperature and pressure distribution of the flow field performed by realizable k-ε turbulence model are much closer to the experiment data.
However, even when the rate constants associated with eosin regeneration via reaction with peroxy-species are set at the physical upper bounds, the values of t0.2 predicted by the model are much larger than those that we observed experimentally.
The validations show that the numerical results of the standard k − ε model are much closer to the experimental data of the reference than the other turbulent models (RNG k ‐ ε, Realizable k ‐ ε and SST k ‐ ω) in the studied ranges.
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But I think the model is much closer at hand.
The traditional IT model is much like a classic restaurant.
This year's model is much better than efforts a few years ago.
The graph shows our model is much more faithful to physically-based simulation result.
I believe the model is much more than a niche strategy.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com