# Can We Simulate Merging Bubbles? 🌊 ## Метаданные - **Канал:** Two Minute Papers - **YouTube:** https://www.youtube.com/watch?v=MD_k3p4MH-A - **Дата:** 05.09.2020 - **Длительность:** 5:28 - **Просмотры:** 74,466 ## Описание ❤️ Check out Weights & Biases and sign up for a free demo here: https://www.wandb.com/papers ❤️ Their mentioned post is available here: https://app.wandb.ai/ajayuppili/efficientnet/reports/How-Efficient-is-EfficientNet%3F--Vmlldzo4NTk5MQ 📝 The paper "Constraint Bubbles and Affine Regions: Reduced Fluid Models for Efficient Immersed Bubbles and Flexible Spatial Coarsening" is available here: https://cs.uwaterloo.ca/~rgoldade/reducedfluids/ Check out Blender here (free): https://www.blender.org/ If you wish to play with some fluids, try the FLIP Fluids plugin (paid, with free demo): https://flipfluids.com/ Note that Blender also contains Mantaflow, its own fluid simulation program and that's also great! 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Paden, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bruno Mikuš, Bryan Learn, Christian Ahlin, Daniel Hasegan, Eric Haddad, Eric Martel, Gordon Child, Javier Bustamante, Joshua Goller, Lorin Atzberger, Lukas Biewald, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Sunil Kim, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. If you wish to support the series, click here: https://www.patreon.com/TwoMinutePapers Károly Zsolnai-Fehér's links: Instagram: https://www.instagram.com/twominutepapers/ Twitter: https://twitter.com/twominutepapers Web: https://cg.tuwien.ac.at/~zsolnai/ ## Содержание ### [0:00](https://www.youtube.com/watch?v=MD_k3p4MH-A) Segment 1 (00:00 - 05:00) Dear Fellow Scholars, this is Two Minute Papers with Dr. Károly Zsolnai-Fehér. If we write the laws of fluid motion into a computer program, we can create beautiful water simulations like the one you see here. However, with all the progress in computer graphics research, we can not only simulate the water volume itself, but there are also efficient techniques to add foam, spray, and bubbles to this simulation. The even crazier thing is that this paper from 8 years ago can do all three in one go, and is remarkably simple for what it does. Just look at this heavenly footage, all simulated on a computer by using Blender, a piece of free and open source software and the FLIP Fluids plugin. But all this has been possible for quite a while now, so what happened in the 8 years since this paper has been published? How has this been improved? Well, it’s good to have bubbles in our simulation, however, in real life, bubbles have their individual densities, and can coalesce at a moment’s notice. This technique is able to simulate these events, and you will see that offers much, much more. Now, let’s marvel at three different phenomena in this simulation. First, the bubbles here are less dense than the water, and hence, start to rise, then, look at the interaction with the air! Now, after this, the bubbles that got denser than the water start sinking again. And all this can be done on your computer today! What a beautiful simulation! And now, hold on to your papers, because this method also adds simulating air pressure, which opens up the possibility for an interaction to happen at a distance. Look. First, we start pushing the piston here. The layer of air starts to push the fluid, which weighs on the next air pocket, which gets compressed, and so on. Such a beautiful phenomenon. And let’s not miss the best part! When we pull the piston back, the emerging negative flux starts drawing the liquid back. Look! One more time. Simulating all this efficiently is quite a technical marvel. When reading through the paper, I was very surprised to see that it is able to incorporate this air compression without simulating the air gaps themselves. A simulation without simulation, if you will. Let’s simulate pouring water through the neck of the water cooler with a standard, already existing technique. For some reason, it doesn’t look right, does it? So what’s missing here? We see a vast downward flow of liquid, therefore, there also has to be a vast upward flow of air at the same time, but I don’t see any of that here. Let’s see how the new simulation method handles this…we start the down flow, and yes, huge air bubbles are coming up, creating this beautiful glugging effect! I think I now have a good guess as to what scientists are discussing over the watercooler in Professor Christopher Batty’s research group. So, how long do we have to wait to get these results? You see, the quality of the outputs is nearly the same as the reference simulation, however, it takes less than half the amount of time to produce it! Admittedly, these simulations still take a few hours to compute, but it is absolutely amazing that these beautiful, complex phenomena can be simulated in a reasonable amount of time, and you know the drill, two more papers down the line, and it will be improved significantly. But we don’t necessarily need a bubbly simulation to enjoy the advantages of this method. In this scene, you see a detailed splash, where the one on the right here was simulated with the new method, it also matches the reference solution and it was more than 3 times faster. If you have a look at the paper in the video description, you will see how it simplifies the simulation by finding a way to identify regions of the simulation domain where not a lot is happening and coarsen the simulation there. These are the green regions that you see here and the paper refers to them as affine regions. As you see, the progress in computer graphics and fluid simulation research is absolutely stunning, and these amazing papers just keep coming out year after year. What a time ### [5:00](https://www.youtube.com/watch?v=MD_k3p4MH-A&t=300s) Segment 2 (05:00 - 05:00) to be alive! Thanks for watching and for your generous support, and I'll see you next time! --- *Источник: https://ekstraktznaniy.ru/video/14076*