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Join us April 13th for our Weekly Physics Colloquium! Guest Speaker,Dr. Pavlos Protopapas, Scientific Program Director and Lecturer, will be joining us from the Institute for Applied Computational Science at Harvard University.

 

Title: Physics Informed Neural Networks (PINNS); Solving Differential Equations Using Neural Networks

 

Abstract: In this talk, I will review how we can use neural networks to solve differential equations for initial conditions and boundary value problems. This line of work has many exciting directions, but two main criticisms for PINNS are computational complexity compared to traditional methods and the lack of error bounds. I will present transfer learning methods that can be used to speed up computation and new work on estimating the error bounds of the neural network approach in solving (partial) differential equations and, in particular, problems in physics and cosmology.

 

Can't make it? Join us on Zoom!

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