Add model configuration

config.json

@@ -0,0 +1,79 @@
+{
+  "architectures": [
+    "XPINNPoisson2D"
+  ],
+  "framework": "pytorch",
+  "model_name": "XPINNs",
+  "model_type": "xpinns",
+  "source_config": "conf/config.yaml",
+  "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"
+    }
+  }
+}