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The results demonstrate processing route designed through the phase-field simulations led to a better combination of strength and ductility.
Numerical simulations led to velocity profiles, pressure distribution, and the solid deposition rate of FeCH3COO and sulfide (FeS).
These simulations led to some robust process implications completely rearranging the flowsheet from the previous iteration into a more simple and economic configuration with better performance.
Response surface methodology pointed out several significant interaction effects, and with Monte-Carlo simulations led to map out the design space at a selected probability level.
Response Surface Methodology pointed out the presence of several significant interaction effects, and with the support of Monte-Carlo simulations led to map out the design space, at a selected probability level, for the desired CMAs.
Starting with the ligand outside the receptor the simulations led to a ligand docked inside the binding pocket resulting in a structure very close to the holo-form of the complex.
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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.
Unsteady (LES) simulations lead to a much higher VP and thus favor scalar removal when compared with steady (RANS) simulations.
On the other hand, using coarse grid block simulations leads to excessive front dissipation/smearing and inaccurate results.
To sum up, games and simulations lead to improved affective outcomes for university students such as attitudes, motivation, emotional involvement, self-efficacy and satisfaction.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com