root:
  common:
    device: "auto"
    dtype: "float64"
    seed: 1234
    weight_dir: "weight"
    result_dir: "result"

  data:
    mat_file: "data/XPINN_2D_PoissonEqn.mat"
    samples:
      residual_1: 5000
      residual_2: 1800
      residual_3: 1200
      boundary: 200
      interface_1: 100
      interface_2: 100

  model:
    name: "XPINNPoisson2D"
    subnetworks:
      domain1:
        layers: [2, 30, 30, 1]
        activation: "tanh"
      domain2:
        layers: [2, 20, 20, 20, 20, 1]
        activation: "sin"
      domain3:
        layers: [2, 25, 25, 25, 1]
        activation: "cos"

  loss:
    boundary: 20.0
    pde: 1.0
    interface_residual: 1.0
    interface_value: 20.0

  training:
    steps: 501
    lr: 0.0008
    log_interval: 20
    checkpoint_name: "xpinn_poisson_2d.pt"

  inference:
    figure_name: "xpinn_poisson_2d.png"