Lecture 26 - Physics-informed Deep Neural Networks#

Objectives#

  • Develop intuition about the potential applications of the ability to combine existing physical knowledge with data.

  • Develop intuition about the importance of symmetries in helping us learn with less data.

  • Use physics-informed neural networks to solve ordinary differential equations.

  • Use physics-informed neural networks to solve partial differential equations.

  • Use physics-informed neural networks to solve high-dimensional stochastic partial differential equations.