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Unsteady (LES) simulations lead to a much higher VP and thus favor scalar removal when compared with steady (RANS) simulations.
To sum up, games and simulations lead to improved affective outcomes for university students such as attitudes, motivation, emotional involvement, self-efficacy and satisfaction.
Thus, the simulations lead to three different scenarios that are explained by a phenomenon of exclusion or a string of events.
Simulations lead to accurate predictions of the mechanical behaviour (i.e. elastic stiffness, maximum load-carrying capacity, and shape of the hysteresis cycles) and energy dissipation.
ReaxFF MD simulations lead to reasonable Arrhenius parameters compared with experimental results based on first-order kinetic analysis of n-dodecane pyrolysis.
Combining these experimental findings with numerical simulations lead to a maximum hydrostatic stress as a criterion to predict the onset of failure, σhc.
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The employment of optimized grating parameters in simulations leads to efficient hybrid device performance.
Introducing the double layer structure in the simulations leads to a small adjustment of the calculated spectrum.
The results demonstrate processing route designed through the phase-field simulations led to a better combination of strength and ductility.
On the other hand, using coarse grid block simulations leads to excessive front dissipation/smearing and inaccurate results.
Numerical simulations led to velocity profiles, pressure distribution, and the solid deposition rate of FeCH3COO and sulfide (FeS).
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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