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Interface Condition Coding Method

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Old   December 12, 2022, 03:10
Thumbs down Interface Condition Coding Method
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Ji-Hoon Han
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I am solving a magnetostatic problem using PINN.

I have succeeded in solving a simple Poisson equation. However, in the analysis considering the geometry, a problem was found in which the interface condition loss did not converge.


I know that the tangential component of the magnetic field strength between two media is continuous.


Accordingly, the normal and tangent vectors were calculated in advance and multiplied according to the interface position.

Is it correct to set the interface condition like this?

Or, if you have an example considering interface conditions, please share.

def physics_net_for_ic(self, xt,in_mu,nom,out_mu):
x = xt[:, 0:1]
t = xt[:, 1:2]
with tf.GradientTape(persistent=True) as tape:
tape.watch(t)
tape.watch(x)
xt_t = tf.concat([x,t], axis=1)
out_u = self.ironmaxwell(xt_t)
out_u_x = tape.gradient(out_u, x)
out_u_y = tape.gradient(out_u, t)
in_u = self.coilmaxwell(xt_t)
in_u_x = tape.gradient(in_u, x)
in_u_y = tape.gradient(in_u, t)
del tape

out_b_x = out_u_y
out_b_y = out_u_x

out_h_x = out_b_x/out_mu
out_h_y = out_b_y/out_mu

in_b_x = in_u_y
in_b_y = in_u_x

in_h_x = in_b_x/in_mu
in_h_y = in_b_y/in_mu


loss_b = tf.add(tf.multiply((in_b_x-out_b_x),nom),tf.multiply((in_b_y-out_b_y),(1-nom)))

loss_h = tf.add(tf.multiply((in_h_x-out_h_x),(1-nom)),tf.multiply((in_h_y-out_h_y),nom))
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electomagnetics, interface bc, pinn


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