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Supplementary Movies - Michail Chatzimanolakis PhD Thesis

<p>Supplementary movies:<br> <br> Cylinder-Re[X].mp4 : Vorticity field for impulsively started cylinder at Reynolds number X.</p> <p>Fish-[X]d-d[Y]-omega.mp4 : Vorticity field for X-dimensional (X=2,3) simulation of swimmers, where leaders are placed Y body lengths away from followers.<br> <br> Fish-2d-d[Y]-velocity.mp4 : Streamwise velocity&nbsp;field for two-dimensional simulation of swimmers, where leaders are placed Y body lengths away from followers.<br> <br> Fish-3d-phalanx-[X]-omega.mp4: vorticity field for X swimmers that swim in a phalanx formation.<br> <br> FishSchool-026-controlled.mp4: Vorticity field for school of 26 controlled swimmers.<br> FishSchool-100-controlled.mp4: Vorticity field for school of 100&nbsp;controlled swimmers.<br> FishSchool-350-uncontrolled.mp4:&nbsp;: Vorticity field for school of 350&nbsp;uncontrolled swimmers.<br> <br> RL_Cylinder_Re[X]_C[Y].mp4: Vorticity field for flow past a cylinder at Reynolds number X with maximum actuation velocity of Y times the cylinder velocity. Control with Reinforcement Learning starts at t=200.<br> <br> RL_Cylinder_Re[X]_C[Y]-reg.mp4: Vorticity field for flow past a cylinder at Reynolds number X with maximum actuation velocity of Y times the cylinder velocity. Control with Reinforcement Learning starts at t=200. A regularizer is used in the reward function here.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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