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

  model:
    name: "BPINN"
    input_dim: 1
    n_layers: 4
    n_neurons: 50
    n_out_sol: 1
    n_out_par: 0
    activation: "tanh"

  training:
    epochs: 10000
    lr: 0.001
    lbfgs_iters: 2000
    refinement_lr: 1.0
    log_interval: 500
    checkpoint_name: "bpinn_laplace1d.pt"
    refined_checkpoint_name: "bpinn_laplace1d_refined.pt"

  loss:
    data: 10.0
    pde: 1.0
    boundary: 10.0

  data:
    domain: [0.0, 1.0]
    n_sol: 200
    n_pde: 1000
    noise_std: 0.0
    test_res: 200

  inference:
    predictions_name: "bpinn_laplace1d.npz"
    figure_name: "bpinn_laplace1d.png"
    history_name: "training_history.npz"