Self-similar blow up profiles for fluids via physics-informed neural networks

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Javier Gómez-Serrano, Brown University
Fine Hall 314

In this talk I will explain a new numerical framework, employing physics-informed neural networks, to find a smooth self-similar solution for different equations in fluid dynamics. The new numerical framework is shown to be both robust and readily adaptable to several situations.

Joint work with Yongji Wang, Ching-Yao Lai and Tristan Buckmaster.