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In this video, I demonstrate the process of building a physics informed neural network to predict the behavior of vortex shedding using the Navier-Stokes equations. Below you can find the link to the github repository:
Github: github.com/ComputationalDomain/PINNs
Resources:
- arxiv.org/pdf/1711.10566.pdf
- arxiv.org/pdf/2103.09655.pdf
- kzfaq.info/get/bejne/p7-dnriJrZ24c40.html&ab_channel=AmirGholaminejad
- www.cambridge.org/core/services/aop-cambridge-core/content/view/B7D9B152C42B7F1E895C1661F5A85881/S0022112018008728a.pdf/deep-learning-of-vortex-induced-vibrations.pdf
- link.springer.com/article/10.1007/s10409-021-01148-1
Background information:
- www.claymath.org/millennium-problems/navier%E2%80%93stokes-equation
- www.grc.nasa.gov/www/k-12/airplane/nseqs.html
- link.springer.com/book/10.1007/978-3-319-16874-6
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