Add model configuration

config.json

@@ -0,0 +1,56 @@
+{
+  "architectures": [
+    "BPINN"
+  ],
+  "framework": "pytorch",
+  "model_name": "BPINNs",
+  "model_type": "bpinns",
+  "source_config": "conf/config.yaml",
+  "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"
+    }
+  }
+}