Fix viscosity constant in burgers-new

Author: levimcclenny

examples/burgers-new.py

@@ -30,7 +30,7 @@ def f_model(u_model, x, t):
     u_x = tf.gradients(u, x)
     u_xx = tf.gradients(u_x, x)
     u_t = tf.gradients(u, t)
-    f_u = u_t + u * u_x - (0.05 / tf.constant(math.pi)) * u_xx
+    f_u = u_t + u * u_x - (0.01 / tf.constant(math.pi)) * u_xx
     return f_u
 
 

tensordiffeq/models.py

@@ -32,7 +32,6 @@ def compile(self, layer_sizes, f_model, domain, bcs, isAdaptive=False,
         self.u_model = neural_net(self.layer_sizes)
 
 
-
         if isAdaptive:
             self.isAdaptive = True
             if self.col_weights is None and self.u_weights is None: