# Baking And Melting Chocolate Simulations Are Now Possible! 🍫 ## Метаданные - **Канал:** Two Minute Papers - **YouTube:** https://www.youtube.com/watch?v=SIGQSgifs6s - **Дата:** 10.01.2020 - **Длительность:** 3:36 - **Просмотры:** 858,688 ## Описание ❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers Their blog post is available here: https://www.wandb.com/tutorial/build-a-neural-network 📝 The paper "A Thermomechanical Material Point Method for Baking and Cooking " is available here: https://www.math.ucla.edu/~myding/papers/baking_paper_final.pdf https://dl.acm.org/doi/10.1145/3355089.3356537 ❤️ 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: Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Anthony Vdovitchenko, Benji Rabhan, Brian Gilman, Bryan Learn, Christian Ahlin, Claudio Fernandes, Daniel Hasegan, Dan Kennedy, Dennis Abts, Eric Haddad, Eric Martel, Evan Breznyik, Geronimo Moralez, James Watt, Javier Bustamante, John De Witt, Kaiesh Vohra, Kasia Hayden, Kjartan Olason, Levente Szabo, Lorin Atzberger, Lukas Biewald, Marcin Dukaczewski, Marten Rauschenberg, Maurits van Mastrigt, Michael Albrecht, Michael Jensen, Nader Shakerin, Owen Campbell-Moore, Owen Skarpness, Raul Araújo da Silva, Rob Rowe, Robin Graham, Ryan Monsurate, Shawn Azman, Steef, Steve Messina, Sunil Kim, Taras Bobrovytsky, Thomas Krcmar, Torsten Reil, Tybie Fitzhugh. https://www.patreon.com/TwoMinutePapers Splash screen/thumbnail design: Felícia Fehér - http://felicia.hu Károly Zsolnai-Fehér's links: Instagram: https://www.instagram.com/twominutepapers/ Twitter: https://twitter.com/karoly_zsolnai Web: https://cg.tuwien.ac.at/~zsolnai/ ## Содержание ### [0:00](https://www.youtube.com/watch?v=SIGQSgifs6s) Intro Dear Fellow Scholars, this is Two Minute Papers with Károly Zsolnai-Fehér. This is one of those simulation papers where you can look at it for three seconds and immediately know what it’s about. Let’s try that! Clearly, expansion and baking is happening. And now, let’s look inside. Mmmm! Yup, this is done. Clearly, this is a paper on simulating the process of baking! Loving the idea. So how comprehensive is it? Well, other than these phenomena, for a proper baking procedure, the simulator also has to be able to deal with melting, solidification, dehydration, coloring and much, much more. This requires developing a proper thermomechanical model where these materials are modeled as a collection of solids, water, and gas. Let’s have a look at some more results. ### [0:53](https://www.youtube.com/watch?v=SIGQSgifs6s&t=53s) Results And we have to stop right here, because I’d like to tell you that the information density on this deceivingly simple scene is just stunning. In the x axis, from the left to the right we have a decreasing temperature in the oven, left being the hottest, and chocolate chip cookies above are simulated with an earlier work from 2014. The ones in the bottom row are made with the new technique. You can see a different kind of shape change as we increase the temperature, discoloration if we crank the oven up even more, and…look there! Even the chocolate chips are melting. Oh my goodness! What a paper! ### [1:35](https://www.youtube.com/watch?v=SIGQSgifs6s&t=95s) Simulations Talking about information density, you can also see here how these simulated pieces of dough of different viscosities react to different amounts of stress. Viscosity means the amount of resistance against deformation, therefore, as we go up, you can witness this kind of resistance increasing. ### [1:54](https://www.youtube.com/watch?v=SIGQSgifs6s&t=114s) Conclusion Here you can see a cross section of the bread which shows the amount of heat everywhere. This not only teaches us why crust forms on the outside layer, but you can see how the amount of heat diffuses slowly into the inside. This is a maxed out paper. By this, I mean the execution quality is through the roof, and the paper is considered done not when it looks alright, but when the idea is being pushed to the limit and the work is as good as it can be without trivial ways to improve it. And the results are absolute witchcraft. Huge congratulations to the authors. In fact, double congratulations because it seems to me that this is only the second paper of Mengyuan Ding, the lead author, and it has been accepted to the SIGGRAPH ASIA conference, which is one of the greatest achivements a computer graphics researcher can dream of. A paper of such quality for the second try. Wow. This episode has been supported by Weights & Biases. Weights & Biases provides tools to track your experiments in your deep learning projects. It can save you a ton of time and money in these projects and is being used by OpenAI, Toyota Research, Stanford and Berkeley. They have excellent tutorial videos, in this one, the CEO himself teaches you how to build your own neural network, and more. Make sure to visit them through wandb. com/papers or just click the link in the video description and you can get a free demo today. Our thanks to Weights & Biases for helping us make better videos for you. Thanks for watching and for your generous support, and I'll see you next time! --- *Источник: https://ekstraktznaniy.ru/video/14197*