# Soap Bubble Simulations Are Now Possible! 🧼 ## Метаданные - **Канал:** Two Minute Papers - **YouTube:** https://www.youtube.com/watch?v=6SJ19OgHi4w - **Дата:** 06.04.2021 - **Длительность:** 7:05 - **Просмотры:** 77,253 ## Описание ❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper "A Model for Soap Film Dynamics with Evolving Thickness" is available here: https://sadashigeishida.bitbucket.io/soapfilm_with_thickness/index.html ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: - https://www.patreon.com/TwoMinutePapers - https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Haro, Alex Serban, Andrew Melnychuk, Angelos Evripiotis, Benji Rabhan, Bryan Learn, Christian Ahlin, Eric Haddad, Eric Martel, Gordon Child, Haris Husic, Ivo Galic, Jace O'Brien, Javier Bustamante, John Le, Jonas, Kenneth Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Mark Oates, Michael Albrecht, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Ramsey Elbasheer, Robin Graham, Steef, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers Thumbnail background image credit: https://pixabay.com/images/id-3594979/ 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=6SJ19OgHi4w) Dear Fellow Scholars, this is Two Minute  Papers with Dr. Károly Zsolnai-Fehér. Today I will try to show  you the incredible progress   in computer graphics research through the  lens of bubbles in computer simulations. Yes, bubbles indeed. Approximately a year ago,  we covered a technique which could be used   to add bubbles to an already existing fluid  simulation. This paper appeared in 2012 and   described a super simple method that helped us  compute where bubbles appear and disappear over   time. The best part of this was that this could  be added after the simulation has been finalized,   which is an insane value proposition. If we  find ourselves yearning for some bubbles,   we just add it afterwards, if we don’t like the  results, we can take them out with one click. Now, simulations are not only about sights,   what about sounds? In 2016, this paper did  something that previously seemed impossible: ### [0:56](https://www.youtube.com/watch?v=6SJ19OgHi4w&t=56s) Dripping Faucet it took this kind of simulation data,  and made sure that now, we can not only   add bubbles to a plain water simulation,  but also simulate how they would sound. ### [1:20](https://www.youtube.com/watch?v=6SJ19OgHi4w&t=80s) Pouring Faucet On the geometry side, a followup paper appeared   just a year later that could simulate a handful  of bubbles colliding, sticking together. Then, three years later, in 2020, Christopher  Batty’s group also proposed a method   that was capable of simulating merging and  coalescing behavior on larger-scale simulations. So, what about today’s paper? Are we going  even larger with hundreds of thousands,   or maybe even millions of bubbles? No,  we are going to take just one bubble…   or at most a handful, and have a real close look  at a method that is capable of simulating these   beautiful evolving rainbow patterns. The  key to this work is that it is modeling   how the thickness of the surfaces changes  over time. That makes all the difference. Let’s look under the hood and observe how much  of an effect the evolving layer thickness has on   the outputs. The red color coding represents  thinner, and the blue shows us the thicker   regions. This shows us that some regions in these  bubbles are more than twice as thick as others.    And there are also more extreme cases, there is  a six-time difference between this and this part.    You can see how the difference in  thickness leads to waves of light   interfering with the bubble  and creating these beautiful   rainbow patterns. You can’t get this without  a proper simulator like this one. Loving it. This variation in thicknesses is responsible  for a selection of premium-quality effects   in a simulation beyond surface vortices,  interference patterns can also be simulated, and,   deformation-dependent rupturing of soap films.    This incredible technique can  simulate all of these phenomena. And now, our big question is, okay,   it simulates all these, but how well does it do  that? It is good enough to fool the human eye,   but how does it compare to the  strictest adversary of all… reality! I hope you know what is coming. Oh yeah!   Hold on to your papers, because now   we will let reality be our judge and  compare the simulated results to that.    That is one of the biggest challenges  in any kind of simulation research,   so, let’s see. This is a piece of real footage of  a curved soap film surface, where these rainbow   patterns get convected by an external force field.   Beautiful. And now, let’s see the simulation.    Wow, this has to be really close. Let’s  see them side by side and decide together.    Whoa. The match in the swirly region here is just  exceptional. Now, note that even if the algorithm   is a 100% correct, this experiment cannot be a  perfect match because not only the physics of   the soap film has to be simulated correctly, but  the forces that move the rainbow patterns as well.    We don’t have this information from the  real-world footage, so the authors had to try to   reproduce these forces, which is not part of the  algorithm, but a property of the environment. So,   I would say that this footage is as close as  one can possibly get. My goodness, well done! So, how much do we have to pay for  this in terms of computation time?    If you ask me, I would pay at the very least  double for this. And if you have been holding on   to your papers so far, now, squeeze that paper,  because now comes the best part, because in the   cheaper cases, only 4 to 7% extra  computation, which is outrageous.    There is this more complex case, with the large  deforming sphere. In this case, the new technique   indeed makes a huge difference. So, how much  extra computation do we have to pay for this?    Only 31%. 31% extra computation  for this? That is a fantastic deal,   you can sign me up right away. As you see, the  pace of progress in computer graphics research   is absolutely incredible, and these simulations  are just getting better and better by the day.    Imagine what we will be able to do just two more  papers down the line! What a time to be alive! Thanks for watching and for your generous  support, and I'll see you next time! --- *Источник: https://ekstraktznaniy.ru/video/13943*