In this article, I want to show how loss weight affect loss landscape, and help us improve the training result of physics informed neural network(PINN) for heat conduction. The heat conduction problem is described as
$$
\frac{\partial^2 T}{\partial x^2}+\frac{\partial^2 T}{\partial y^2} = 0
$$
B.C.
$$
T = \begin{cases}
0 & x=0, 1; y=0 \
1 & y=1
\end{cases}