From 5ad60391988922b29d80a48d7a954d291fddb629 Mon Sep 17 00:00:00 2001 From: Donald Cummins Date: Thu, 7 Mar 2024 12:24:44 +0000 Subject: [PATCH] Fix typo --- PINNs_1DHeatEquationExample.ipynb | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/PINNs_1DHeatEquationExample.ipynb b/PINNs_1DHeatEquationExample.ipynb index 7af48f7..6b1d79d 100644 --- a/PINNs_1DHeatEquationExample.ipynb +++ b/PINNs_1DHeatEquationExample.ipynb @@ -21,7 +21,7 @@ "\n", "This notebook is based on two papers: *[Physics-Informed Neural Networks: A Deep Learning Framework for Solving Forward and Inverse Problems Involving Nonlinear Partial Differential Equations](https://www.sciencedirect.com/science/article/pii/S0021999118307125)* and *[Hidden Physics Models: Machine Learning of Nonlinear Partial Differential Equations](https://www.sciencedirect.com/science/article/pii/S0021999117309014)* with the help of Fergus Shone and Michael Macraild.\n", "\n", - "These tutorials will go through solving Partial Differential Equations using Physics Informed Neuaral Networks, focusing on the 1D Heat Equation and a more complex example using the Navier Stokes Equations.\n", + "These tutorials will go through solving Partial Differential Equations using Physics Informed Neural Networks, focusing on the 1D Heat Equation and a more complex example using the Navier Stokes Equations.\n", "\n", "**This introduction section is replicated in all PINN tutorial notebooks (please skip if you've already been through).** \n", "\n",