AI/ML+Physics Part 1: Choosing what to model [Physics Informed Machine Learning]
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2024-02-23に共有
This video was produced at the University of Washington, and we acknowledge funding support from the Boeing Company
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00:00 Intro
04:51 Deciding on the Problem
07:08 Why do you need an ML Model?
14:54 Case Study: Super Resolution
17:07 Case Study: Discovering New Physics
18:37 Case Study: Materials Discovery
19:12 Case Study: Computational Chemistry
20:50 Case Study: Digital Twins & Discrepancy Models
21:56 Case Study: Shape Optimization
25:13 The Digital Twin
29:16 Modeling the Math
33:31 Modeling the Chaos
34:18 Case Study: Climate Modeling
35:08 Benchmark Systems
35:47 Case Study: Turbulence Closure Modeling
39:16 When not to use Machine Learning
42:15 Outro
コメント (21)
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Thanks for posting these lessons. There isn’t enough good material about this out there.
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Hi professor brunton. thank you for this lectures. i am really enjoying your videos. can't wait for the next one.
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I already love this series! I honestly think that the choice of the problem to model is BY FAR the most important one. You can bake so much prior knowledge into that alone, it can totally make or break the entire endevour.
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This course is one of the best learning tool on the internet. Thank you Mr Brunton
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Thanks for sharing your knowledge with us all! I feel fortunate to be able to access this level of learning for free
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This is excellent - cant wait to see the whole series
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Very interesting, can't wait to see where you take this!
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Thank you for the lectures, learned/got inspired a lot.
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Quality content is an understatement :thanksdoc: Waiting for more
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Amazing! Thank you so much for this set of lectures!
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Would have really appreciated some concrete examples and case studies. With concrete math and code. I loved watching many of your videos from the databook series, because they were so unique- using math and code. And you are, always, a superb teacher, explainer. Thank you for making this series. There's really a lack of good content in this area. I really am grateful, and appreciate you doing this. Will wait for future videos. 😇😊
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As a Chemical Engineer that studied CFD in grad school turned Data Scientist, I absolutely love this and the fact that there is active research in the intersection of physics and AI.
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Thank you for this excellent lecture. Learned a lot.
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Thank you for doing these excellent lectures Dr Brunton
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Super stoked to see our car in the presentation 😊
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Beautiful, just beautiful...Thank you
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Really amazed, Thank you Prof. Brunton.
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Awesome lecture. God bless you for sharing this knowledge on youtube.
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42:05 "... you don't want to be in the crystal energy group..." Ah, those pesky condensed matter physicists!
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Excellent lecture! Many thanks professor!!!